The SAS System 07:46 Monday, October 16, 2017 7446 Optimization Start Parameter Estimates Gradient Lower Upper Objective Bound Bound N Parameter Estimate Function Constraint Constraint 1 X1 3.480000 0 0 1E300 2 X2 0.276000 0 0 1E300 3 X3 0.118000 0 -1E300 1E300 4 X4 -0.022500 0 -1E300 1E300 5 X5 0.001000 0 0 1E300 6 X6 0.001250 0 -1E300 1E300 7 X7 0.290000 0 -1.000000 1.000000 8 X8 0.000000100 0 1E-9 1E300 9 X9 0.000000100 0 1E-9 1E300 10 X10 0.000000100 0 1E-9 1E300 11 X11 0.000000100 0 . . 12 X12 0.000000100 0 . . Value of Objective Function = -9268645.179 The SAS System 07:46 Monday, October 16, 2017 7447 Dual Quasi-Newton Optimization Minimum Iterations 0 Maximum Iterations 2000 Maximum Function Calls 5000 ABSGCONV Gradient Criterion 0.00001 GCONV Gradient Criterion 1E-8 ABSFCONV Function Criterion 0 FCONV Function Criterion 2.220446E-16 FCONV2 Function Criterion 0 FSIZE Parameter 0 ABSXCONV Parameter Change Criterion 0 XCONV Parameter Change Criterion 0 XSIZE Parameter 0 ABSCONV Function Criterion 1.340781E154 Line Search Method 2 Starting Alpha for Line Search 1 Line Search Precision LSPRECISION 0.4 DAMPSTEP Parameter for Line Search . MAXSTEP Parameter for Line Search 0 FD Derivatives: Accurate Digits in Obj.F 15.653559775 Singularity Tolerance (SINGULAR) 1E-8 Constraint Precision (LCEPS) 1E-8 Linearly Dependent Constraints (LCSING) 1E-8 Releasing Active Constraints (LCDEACT) . Dual Quasi-Newton Optimization Dual Broyden - Fletcher - Goldfarb - Shanno Update (DBFGS) Gradient Computed by Finite Differences Parameter Estimates 12 Lower Bounds 10 Upper Bounds 10 Optimization Start Active Constraints 0 Objective Function -9268645.179 Max Abs Gradient Element 0 Optimization Results Iterations 0 Function Calls 2 Gradient Calls 2 Active Constraints 0 Objective Function -9268645.179 Max Abs Gradient Element 0 Slope of Search Direction 0 ABSGCONV convergence criterion satisfied. The SAS System 07:46 Monday, October 16, 2017 7448 Optimization Results Parameter Estimates Gradient Objective N Parameter Estimate Function 1 X1 3.480000 0 2 X2 0.276000 0 3 X3 0.118000 0 4 X4 -0.022500 0 5 X5 0.001000 0 6 X6 0.001250 0 7 X7 0.290000 0 8 X8 0.000000100 0 9 X9 0.000000100 0 10 X10 0.000000100 0 11 X11 0.000000100 0 12 X12 0.000000100 0 Value of Objective Function = -9268645.179 The SAS System 07:46 Monday, October 16, 2017 7449 Optimization Start Parameter Estimates Gradient Lower Upper Objective Bound Bound N Parameter Estimate Function Constraint Constraint 1 X1 3.480000 0 0 1E300 2 X2 0.276000 0 0 1E300 3 X3 0.118000 0 -1E300 1E300 4 X4 -0.022500 0 -1E300 1E300 5 X5 0.001000 0 0 1E300 6 X6 0.001250 0 -1E300 1E300 7 X7 0.310000 0 -1.000000 1.000000 8 X8 0.000000100 0 1E-9 1E300 9 X9 0.000000100 0 1E-9 1E300 10 X10 0.000000100 0 1E-9 1E300 11 X11 0.000000100 0 . . 12 X12 0.000000100 0 . . Value of Objective Function = -9268645.179 The SAS System 07:46 Monday, October 16, 2017 7450 Dual Quasi-Newton Optimization Minimum Iterations 0 Maximum Iterations 2000 Maximum Function Calls 5000 ABSGCONV Gradient Criterion 0.00001 GCONV Gradient Criterion 1E-8 ABSFCONV Function Criterion 0 FCONV Function Criterion 2.220446E-16 FCONV2 Function Criterion 0 FSIZE Parameter 0 ABSXCONV Parameter Change Criterion 0 XCONV Parameter Change Criterion 0 XSIZE Parameter 0 ABSCONV Function Criterion 1.340781E154 Line Search Method 2 Starting Alpha for Line Search 1 Line Search Precision LSPRECISION 0.4 DAMPSTEP Parameter for Line Search . MAXSTEP Parameter for Line Search 0 FD Derivatives: Accurate Digits in Obj.F 15.653559775 Singularity Tolerance (SINGULAR) 1E-8 Constraint Precision (LCEPS) 1E-8 Linearly Dependent Constraints (LCSING) 1E-8 Releasing Active Constraints (LCDEACT) . Dual Quasi-Newton Optimization Dual Broyden - Fletcher - Goldfarb - Shanno Update (DBFGS) Gradient Computed by Finite Differences Parameter Estimates 12 Lower Bounds 10 Upper Bounds 10 Optimization Start Active Constraints 0 Objective Function -9268645.179 Max Abs Gradient Element 0 Optimization Results Iterations 0 Function Calls 2 Gradient Calls 2 Active Constraints 0 Objective Function -9268645.179 Max Abs Gradient Element 0 Slope of Search Direction 0 ABSGCONV convergence criterion satisfied. The SAS System 07:46 Monday, October 16, 2017 7451 Optimization Results Parameter Estimates Gradient Objective N Parameter Estimate Function 1 X1 3.480000 0 2 X2 0.276000 0 3 X3 0.118000 0 4 X4 -0.022500 0 5 X5 0.001000 0 6 X6 0.001250 0 7 X7 0.310000 0 8 X8 0.000000100 0 9 X9 0.000000100 0 10 X10 0.000000100 0 11 X11 0.000000100 0 12 X12 0.000000100 0 Value of Objective Function = -9268645.179 The SAS System 07:46 Monday, October 16, 2017 7452 Optimization Start Parameter Estimates Gradient Lower Upper Objective Bound Bound N Parameter Estimate Function Constraint Constraint 1 X1 3.480000 0 0 1E300 2 X2 0.276000 0 0 1E300 3 X3 0.118000 0 -1E300 1E300 4 X4 -0.022500 0 -1E300 1E300 5 X5 0.001000 0 0 1E300 6 X6 0.011250 0 -1E300 1E300 7 X7 0.290000 0 -1.000000 1.000000 8 X8 0.000000100 0 1E-9 1E300 9 X9 0.000000100 0 1E-9 1E300 10 X10 0.000000100 0 1E-9 1E300 11 X11 0.000000100 0 . . 12 X12 0.000000100 0 . . Value of Objective Function = -9268645.15 The SAS System 07:46 Monday, October 16, 2017 7453 Dual Quasi-Newton Optimization Minimum Iterations 0 Maximum Iterations 2000 Maximum Function Calls 5000 ABSGCONV Gradient Criterion 0.00001 GCONV Gradient Criterion 1E-8 ABSFCONV Function Criterion 0 FCONV Function Criterion 2.220446E-16 FCONV2 Function Criterion 0 FSIZE Parameter 0 ABSXCONV Parameter Change Criterion 0 XCONV Parameter Change Criterion 0 XSIZE Parameter 0 ABSCONV Function Criterion 1.340781E154 Line Search Method 2 Starting Alpha for Line Search 1 Line Search Precision LSPRECISION 0.4 DAMPSTEP Parameter for Line Search . MAXSTEP Parameter for Line Search 0 FD Derivatives: Accurate Digits in Obj.F 15.653559775 Singularity Tolerance (SINGULAR) 1E-8 Constraint Precision (LCEPS) 1E-8 Linearly Dependent Constraints (LCSING) 1E-8 Releasing Active Constraints (LCDEACT) . Dual Quasi-Newton Optimization Dual Broyden - Fletcher - Goldfarb - Shanno Update (DBFGS) Gradient Computed by Finite Differences Parameter Estimates 12 Lower Bounds 10 Upper Bounds 10 Optimization Start Active Constraints 0 Objective Function -9268645.15 Max Abs Gradient Element 0 Optimization Results Iterations 0 Function Calls 2 Gradient Calls 2 Active Constraints 0 Objective Function -9268645.15 Max Abs Gradient Element 0 Slope of Search Direction 0 ABSGCONV convergence criterion satisfied. The SAS System 07:46 Monday, October 16, 2017 7454 Optimization Results Parameter Estimates Gradient Objective N Parameter Estimate Function 1 X1 3.480000 0 2 X2 0.276000 0 3 X3 0.118000 0 4 X4 -0.022500 0 5 X5 0.001000 0 6 X6 0.011250 0 7 X7 0.290000 0 8 X8 0.000000100 0 9 X9 0.000000100 0 10 X10 0.000000100 0 11 X11 0.000000100 0 12 X12 0.000000100 0 Value of Objective Function = -9268645.15 The SAS System 07:46 Monday, October 16, 2017 7455 Optimization Start Parameter Estimates Gradient Lower Upper Objective Bound Bound N Parameter Estimate Function Constraint Constraint 1 X1 3.480000 0 0 1E300 2 X2 0.276000 0 0 1E300 3 X3 0.118000 0 -1E300 1E300 4 X4 -0.022500 0 -1E300 1E300 5 X5 0.001000 0 0 1E300 6 X6 0.011250 0 -1E300 1E300 7 X7 0.310000 0 -1.000000 1.000000 8 X8 0.000000100 0 1E-9 1E300 9 X9 0.000000100 0 1E-9 1E300 10 X10 0.000000100 0 1E-9 1E300 11 X11 0.000000100 0 . . 12 X12 0.000000100 0 . . Value of Objective Function = -9268645.15 The SAS System 07:46 Monday, October 16, 2017 7456 Dual Quasi-Newton Optimization Minimum Iterations 0 Maximum Iterations 2000 Maximum Function Calls 5000 ABSGCONV Gradient Criterion 0.00001 GCONV Gradient Criterion 1E-8 ABSFCONV Function Criterion 0 FCONV Function Criterion 2.220446E-16 FCONV2 Function Criterion 0 FSIZE Parameter 0 ABSXCONV Parameter Change Criterion 0 XCONV Parameter Change Criterion 0 XSIZE Parameter 0 ABSCONV Function Criterion 1.340781E154 Line Search Method 2 Starting Alpha for Line Search 1 Line Search Precision LSPRECISION 0.4 DAMPSTEP Parameter for Line Search . MAXSTEP Parameter for Line Search 0 FD Derivatives: Accurate Digits in Obj.F 15.653559775 Singularity Tolerance (SINGULAR) 1E-8 Constraint Precision (LCEPS) 1E-8 Linearly Dependent Constraints (LCSING) 1E-8 Releasing Active Constraints (LCDEACT) . Dual Quasi-Newton Optimization Dual Broyden - Fletcher - Goldfarb - Shanno Update (DBFGS) Gradient Computed by Finite Differences Parameter Estimates 12 Lower Bounds 10 Upper Bounds 10 Optimization Start Active Constraints 0 Objective Function -9268645.15 Max Abs Gradient Element 0 Optimization Results Iterations 0 Function Calls 2 Gradient Calls 2 Active Constraints 0 Objective Function -9268645.15 Max Abs Gradient Element 0 Slope of Search Direction 0 ABSGCONV convergence criterion satisfied. The SAS System 07:46 Monday, October 16, 2017 7457 Optimization Results Parameter Estimates Gradient Objective N Parameter Estimate Function 1 X1 3.480000 0 2 X2 0.276000 0 3 X3 0.118000 0 4 X4 -0.022500 0 5 X5 0.001000 0 6 X6 0.011250 0 7 X7 0.310000 0 8 X8 0.000000100 0 9 X9 0.000000100 0 10 X10 0.000000100 0 11 X11 0.000000100 0 12 X12 0.000000100 0 Value of Objective Function = -9268645.15 The SAS System 07:46 Monday, October 16, 2017 7458 Optimization Start Parameter Estimates Gradient Lower Upper Objective Bound Bound N Parameter Estimate Function Constraint Constraint 1 X1 3.480000 0 0 1E300 2 X2 0.276000 0 0 1E300 3 X3 0.118000 0 -1E300 1E300 4 X4 -0.022500 0 -1E300 1E300 5 X5 0.051000 0 0 1E300 6 X6 0.001250 0 -1E300 1E300 7 X7 0.290000 0 -1.000000 1.000000 8 X8 0.000000100 0 1E-9 1E300 9 X9 0.000000100 0 1E-9 1E300 10 X10 0.000000100 0 1E-9 1E300 11 X11 0.000000100 0 . . 12 X12 0.000000100 0 . . Value of Objective Function = -9268645.171 The SAS System 07:46 Monday, October 16, 2017 7459 Dual Quasi-Newton Optimization Minimum Iterations 0 Maximum Iterations 2000 Maximum Function Calls 5000 ABSGCONV Gradient Criterion 0.00001 GCONV Gradient Criterion 1E-8 ABSFCONV Function Criterion 0 FCONV Function Criterion 2.220446E-16 FCONV2 Function Criterion 0 FSIZE Parameter 0 ABSXCONV Parameter Change Criterion 0 XCONV Parameter Change Criterion 0 XSIZE Parameter 0 ABSCONV Function Criterion 1.340781E154 Line Search Method 2 Starting Alpha for Line Search 1 Line Search Precision LSPRECISION 0.4 DAMPSTEP Parameter for Line Search . MAXSTEP Parameter for Line Search 0 FD Derivatives: Accurate Digits in Obj.F 15.653559775 Singularity Tolerance (SINGULAR) 1E-8 Constraint Precision (LCEPS) 1E-8 Linearly Dependent Constraints (LCSING) 1E-8 Releasing Active Constraints (LCDEACT) . Dual Quasi-Newton Optimization Dual Broyden - Fletcher - Goldfarb - Shanno Update (DBFGS) Gradient Computed by Finite Differences Parameter Estimates 12 Lower Bounds 10 Upper Bounds 10 Optimization Start Active Constraints 0 Objective Function -9268645.171 Max Abs Gradient Element 0 Optimization Results Iterations 0 Function Calls 2 Gradient Calls 2 Active Constraints 0 Objective Function -9268645.171 Max Abs Gradient Element 0 Slope of Search Direction 0 ABSGCONV convergence criterion satisfied. The SAS System 07:46 Monday, October 16, 2017 7460 Optimization Results Parameter Estimates Gradient Objective N Parameter Estimate Function 1 X1 3.480000 0 2 X2 0.276000 0 3 X3 0.118000 0 4 X4 -0.022500 0 5 X5 0.051000 0 6 X6 0.001250 0 7 X7 0.290000 0 8 X8 0.000000100 0 9 X9 0.000000100 0 10 X10 0.000000100 0 11 X11 0.000000100 0 12 X12 0.000000100 0 Value of Objective Function = -9268645.171 The SAS System 07:46 Monday, October 16, 2017 7461 Optimization Start Parameter Estimates Gradient Lower Upper Objective Bound Bound N Parameter Estimate Function Constraint Constraint 1 X1 3.480000 0 0 1E300 2 X2 0.276000 0 0 1E300 3 X3 0.118000 0 -1E300 1E300 4 X4 -0.022500 0 -1E300 1E300 5 X5 0.051000 0 0 1E300 6 X6 0.001250 0 -1E300 1E300 7 X7 0.310000 0 -1.000000 1.000000 8 X8 0.000000100 0 1E-9 1E300 9 X9 0.000000100 0 1E-9 1E300 10 X10 0.000000100 0 1E-9 1E300 11 X11 0.000000100 0 . . 12 X12 0.000000100 0 . . Value of Objective Function = -9268645.171 The SAS System 07:46 Monday, October 16, 2017 7462 Dual Quasi-Newton Optimization Minimum Iterations 0 Maximum Iterations 2000 Maximum Function Calls 5000 ABSGCONV Gradient Criterion 0.00001 GCONV Gradient Criterion 1E-8 ABSFCONV Function Criterion 0 FCONV Function Criterion 2.220446E-16 FCONV2 Function Criterion 0 FSIZE Parameter 0 ABSXCONV Parameter Change Criterion 0 XCONV Parameter Change Criterion 0 XSIZE Parameter 0 ABSCONV Function Criterion 1.340781E154 Line Search Method 2 Starting Alpha for Line Search 1 Line Search Precision LSPRECISION 0.4 DAMPSTEP Parameter for Line Search . MAXSTEP Parameter for Line Search 0 FD Derivatives: Accurate Digits in Obj.F 15.653559775 Singularity Tolerance (SINGULAR) 1E-8 Constraint Precision (LCEPS) 1E-8 Linearly Dependent Constraints (LCSING) 1E-8 Releasing Active Constraints (LCDEACT) . Dual Quasi-Newton Optimization Dual Broyden - Fletcher - Goldfarb - Shanno Update (DBFGS) Gradient Computed by Finite Differences Parameter Estimates 12 Lower Bounds 10 Upper Bounds 10 Optimization Start Active Constraints 0 Objective Function -9268645.171 Max Abs Gradient Element 0 Optimization Results Iterations 0 Function Calls 2 Gradient Calls 2 Active Constraints 0 Objective Function -9268645.171 Max Abs Gradient Element 0 Slope of Search Direction 0 ABSGCONV convergence criterion satisfied. The SAS System 07:46 Monday, October 16, 2017 7463 Optimization Results Parameter Estimates Gradient Objective N Parameter Estimate Function 1 X1 3.480000 0 2 X2 0.276000 0 3 X3 0.118000 0 4 X4 -0.022500 0 5 X5 0.051000 0 6 X6 0.001250 0 7 X7 0.310000 0 8 X8 0.000000100 0 9 X9 0.000000100 0 10 X10 0.000000100 0 11 X11 0.000000100 0 12 X12 0.000000100 0 Value of Objective Function = -9268645.171 The SAS System 07:46 Monday, October 16, 2017 7464 Optimization Start Parameter Estimates Gradient Lower Upper Objective Bound Bound N Parameter Estimate Function Constraint Constraint 1 X1 3.480000 0 0 1E300 2 X2 0.276000 0 0 1E300 3 X3 0.118000 0 -1E300 1E300 4 X4 -0.022500 0 -1E300 1E300 5 X5 0.051000 0 0 1E300 6 X6 0.011250 0 -1E300 1E300 7 X7 0.290000 0 -1.000000 1.000000 8 X8 0.000000100 0 1E-9 1E300 9 X9 0.000000100 0 1E-9 1E300 10 X10 0.000000100 0 1E-9 1E300 11 X11 0.000000100 0 . . 12 X12 0.000000100 0 . . Value of Objective Function = -9268645.145 The SAS System 07:46 Monday, October 16, 2017 7465 Dual Quasi-Newton Optimization Minimum Iterations 0 Maximum Iterations 2000 Maximum Function Calls 5000 ABSGCONV Gradient Criterion 0.00001 GCONV Gradient Criterion 1E-8 ABSFCONV Function Criterion 0 FCONV Function Criterion 2.220446E-16 FCONV2 Function Criterion 0 FSIZE Parameter 0 ABSXCONV Parameter Change Criterion 0 XCONV Parameter Change Criterion 0 XSIZE Parameter 0 ABSCONV Function Criterion 1.340781E154 Line Search Method 2 Starting Alpha for Line Search 1 Line Search Precision LSPRECISION 0.4 DAMPSTEP Parameter for Line Search . MAXSTEP Parameter for Line Search 0 FD Derivatives: Accurate Digits in Obj.F 15.653559775 Singularity Tolerance (SINGULAR) 1E-8 Constraint Precision (LCEPS) 1E-8 Linearly Dependent Constraints (LCSING) 1E-8 Releasing Active Constraints (LCDEACT) . Dual Quasi-Newton Optimization Dual Broyden - Fletcher - Goldfarb - Shanno Update (DBFGS) Gradient Computed by Finite Differences Parameter Estimates 12 Lower Bounds 10 Upper Bounds 10 Optimization Start Active Constraints 0 Objective Function -9268645.145 Max Abs Gradient Element 0 Optimization Results Iterations 0 Function Calls 2 Gradient Calls 2 Active Constraints 0 Objective Function -9268645.145 Max Abs Gradient Element 0 Slope of Search Direction 0 ABSGCONV convergence criterion satisfied. The SAS System 07:46 Monday, October 16, 2017 7466 Optimization Results Parameter Estimates Gradient Objective N Parameter Estimate Function 1 X1 3.480000 0 2 X2 0.276000 0 3 X3 0.118000 0 4 X4 -0.022500 0 5 X5 0.051000 0 6 X6 0.011250 0 7 X7 0.290000 0 8 X8 0.000000100 0 9 X9 0.000000100 0 10 X10 0.000000100 0 11 X11 0.000000100 0 12 X12 0.000000100 0 Value of Objective Function = -9268645.145 The SAS System 07:46 Monday, October 16, 2017 7467 Optimization Start Parameter Estimates Gradient Lower Upper Objective Bound Bound N Parameter Estimate Function Constraint Constraint 1 X1 3.480000 0 0 1E300 2 X2 0.276000 0 0 1E300 3 X3 0.118000 0 -1E300 1E300 4 X4 -0.022500 0 -1E300 1E300 5 X5 0.051000 0 0 1E300 6 X6 0.011250 0 -1E300 1E300 7 X7 0.310000 0 -1.000000 1.000000 8 X8 0.000000100 0 1E-9 1E300 9 X9 0.000000100 0 1E-9 1E300 10 X10 0.000000100 0 1E-9 1E300 11 X11 0.000000100 0 . . 12 X12 0.000000100 0 . . Value of Objective Function = -9268645.145 The SAS System 07:46 Monday, October 16, 2017 7468 Dual Quasi-Newton Optimization Minimum Iterations 0 Maximum Iterations 2000 Maximum Function Calls 5000 ABSGCONV Gradient Criterion 0.00001 GCONV Gradient Criterion 1E-8 ABSFCONV Function Criterion 0 FCONV Function Criterion 2.220446E-16 FCONV2 Function Criterion 0 FSIZE Parameter 0 ABSXCONV Parameter Change Criterion 0 XCONV Parameter Change Criterion 0 XSIZE Parameter 0 ABSCONV Function Criterion 1.340781E154 Line Search Method 2 Starting Alpha for Line Search 1 Line Search Precision LSPRECISION 0.4 DAMPSTEP Parameter for Line Search . MAXSTEP Parameter for Line Search 0 FD Derivatives: Accurate Digits in Obj.F 15.653559775 Singularity Tolerance (SINGULAR) 1E-8 Constraint Precision (LCEPS) 1E-8 Linearly Dependent Constraints (LCSING) 1E-8 Releasing Active Constraints (LCDEACT) . Dual Quasi-Newton Optimization Dual Broyden - Fletcher - Goldfarb - Shanno Update (DBFGS) Gradient Computed by Finite Differences Parameter Estimates 12 Lower Bounds 10 Upper Bounds 10 Optimization Start Active Constraints 0 Objective Function -9268645.145 Max Abs Gradient Element 0 Optimization Results Iterations 0 Function Calls 2 Gradient Calls 2 Active Constraints 0 Objective Function -9268645.145 Max Abs Gradient Element 0 Slope of Search Direction 0 ABSGCONV convergence criterion satisfied. The SAS System 07:46 Monday, October 16, 2017 7469 Optimization Results Parameter Estimates Gradient Objective N Parameter Estimate Function 1 X1 3.480000 0 2 X2 0.276000 0 3 X3 0.118000 0 4 X4 -0.022500 0 5 X5 0.051000 0 6 X6 0.011250 0 7 X7 0.310000 0 8 X8 0.000000100 0 9 X9 0.000000100 0 10 X10 0.000000100 0 11 X11 0.000000100 0 12 X12 0.000000100 0 Value of Objective Function = -9268645.145 The SAS System 07:46 Monday, October 16, 2017 7470 Optimization Start Parameter Estimates Gradient Lower Upper Objective Bound Bound N Parameter Estimate Function Constraint Constraint 1 X1 3.480000 0 0 1E300 2 X2 0.276000 0 0 1E300 3 X3 0.118000 0 -1E300 1E300 4 X4 -0.022500 0 -1E300 1E300 5 X5 0.101000 0 0 1E300 6 X6 0.001250 0 -1E300 1E300 7 X7 0.290000 0 -1.000000 1.000000 8 X8 0.000000100 0 1E-9 1E300 9 X9 0.000000100 0 1E-9 1E300 10 X10 0.000000100 0 1E-9 1E300 11 X11 0.000000100 0 . . 12 X12 0.000000100 0 . . Value of Objective Function = -9268645.157 The SAS System 07:46 Monday, October 16, 2017 7471 Dual Quasi-Newton Optimization Minimum Iterations 0 Maximum Iterations 2000 Maximum Function Calls 5000 ABSGCONV Gradient Criterion 0.00001 GCONV Gradient Criterion 1E-8 ABSFCONV Function Criterion 0 FCONV Function Criterion 2.220446E-16 FCONV2 Function Criterion 0 FSIZE Parameter 0 ABSXCONV Parameter Change Criterion 0 XCONV Parameter Change Criterion 0 XSIZE Parameter 0 ABSCONV Function Criterion 1.340781E154 Line Search Method 2 Starting Alpha for Line Search 1 Line Search Precision LSPRECISION 0.4 DAMPSTEP Parameter for Line Search . MAXSTEP Parameter for Line Search 0 FD Derivatives: Accurate Digits in Obj.F 15.653559775 Singularity Tolerance (SINGULAR) 1E-8 Constraint Precision (LCEPS) 1E-8 Linearly Dependent Constraints (LCSING) 1E-8 Releasing Active Constraints (LCDEACT) . Dual Quasi-Newton Optimization Dual Broyden - Fletcher - Goldfarb - Shanno Update (DBFGS) Gradient Computed by Finite Differences Parameter Estimates 12 Lower Bounds 10 Upper Bounds 10 Optimization Start Active Constraints 0 Objective Function -9268645.157 Max Abs Gradient Element 0 Optimization Results Iterations 0 Function Calls 2 Gradient Calls 2 Active Constraints 0 Objective Function -9268645.157 Max Abs Gradient Element 0 Slope of Search Direction 0 ABSGCONV convergence criterion satisfied. The SAS System 07:46 Monday, October 16, 2017 7472 Optimization Results Parameter Estimates Gradient Objective N Parameter Estimate Function 1 X1 3.480000 0 2 X2 0.276000 0 3 X3 0.118000 0 4 X4 -0.022500 0 5 X5 0.101000 0 6 X6 0.001250 0 7 X7 0.290000 0 8 X8 0.000000100 0 9 X9 0.000000100 0 10 X10 0.000000100 0 11 X11 0.000000100 0 12 X12 0.000000100 0 Value of Objective Function = -9268645.157 The SAS System 07:46 Monday, October 16, 2017 7473 Optimization Start Parameter Estimates Gradient Lower Upper Objective Bound Bound N Parameter Estimate Function Constraint Constraint 1 X1 3.480000 0 0 1E300 2 X2 0.276000 0 0 1E300 3 X3 0.118000 0 -1E300 1E300 4 X4 -0.022500 0 -1E300 1E300 5 X5 0.101000 0 0 1E300 6 X6 0.001250 0 -1E300 1E300 7 X7 0.310000 0 -1.000000 1.000000 8 X8 0.000000100 0 1E-9 1E300 9 X9 0.000000100 0 1E-9 1E300 10 X10 0.000000100 0 1E-9 1E300 11 X11 0.000000100 0 . . 12 X12 0.000000100 0 . . Value of Objective Function = -9268645.157 The SAS System 07:46 Monday, October 16, 2017 7474 Dual Quasi-Newton Optimization Minimum Iterations 0 Maximum Iterations 2000 Maximum Function Calls 5000 ABSGCONV Gradient Criterion 0.00001 GCONV Gradient Criterion 1E-8 ABSFCONV Function Criterion 0 FCONV Function Criterion 2.220446E-16 FCONV2 Function Criterion 0 FSIZE Parameter 0 ABSXCONV Parameter Change Criterion 0 XCONV Parameter Change Criterion 0 XSIZE Parameter 0 ABSCONV Function Criterion 1.340781E154 Line Search Method 2 Starting Alpha for Line Search 1 Line Search Precision LSPRECISION 0.4 DAMPSTEP Parameter for Line Search . MAXSTEP Parameter for Line Search 0 FD Derivatives: Accurate Digits in Obj.F 15.653559775 Singularity Tolerance (SINGULAR) 1E-8 Constraint Precision (LCEPS) 1E-8 Linearly Dependent Constraints (LCSING) 1E-8 Releasing Active Constraints (LCDEACT) . Dual Quasi-Newton Optimization Dual Broyden - Fletcher - Goldfarb - Shanno Update (DBFGS) Gradient Computed by Finite Differences Parameter Estimates 12 Lower Bounds 10 Upper Bounds 10 Optimization Start Active Constraints 0 Objective Function -9268645.157 Max Abs Gradient Element 0 Optimization Results Iterations 0 Function Calls 2 Gradient Calls 2 Active Constraints 0 Objective Function -9268645.157 Max Abs Gradient Element 0 Slope of Search Direction 0 ABSGCONV convergence criterion satisfied. The SAS System 07:46 Monday, October 16, 2017 7475 Optimization Results Parameter Estimates Gradient Objective N Parameter Estimate Function 1 X1 3.480000 0 2 X2 0.276000 0 3 X3 0.118000 0 4 X4 -0.022500 0 5 X5 0.101000 0 6 X6 0.001250 0 7 X7 0.310000 0 8 X8 0.000000100 0 9 X9 0.000000100 0 10 X10 0.000000100 0 11 X11 0.000000100 0 12 X12 0.000000100 0 Value of Objective Function = -9268645.157 The SAS System 07:46 Monday, October 16, 2017 7476 Optimization Start Parameter Estimates Gradient Lower Upper Objective Bound Bound N Parameter Estimate Function Constraint Constraint 1 X1 3.480000 0 0 1E300 2 X2 0.276000 0 0 1E300 3 X3 0.118000 0 -1E300 1E300 4 X4 -0.022500 0 -1E300 1E300 5 X5 0.101000 0 0 1E300 6 X6 0.011250 0 -1E300 1E300 7 X7 0.290000 0 -1.000000 1.000000 8 X8 0.000000100 0 1E-9 1E300 9 X9 0.000000100 0 1E-9 1E300 10 X10 0.000000100 0 1E-9 1E300 11 X11 0.000000100 0 . . 12 X12 0.000000100 0 . . Value of Objective Function = -9268645.138 The SAS System 07:46 Monday, October 16, 2017 7477 Dual Quasi-Newton Optimization Minimum Iterations 0 Maximum Iterations 2000 Maximum Function Calls 5000 ABSGCONV Gradient Criterion 0.00001 GCONV Gradient Criterion 1E-8 ABSFCONV Function Criterion 0 FCONV Function Criterion 2.220446E-16 FCONV2 Function Criterion 0 FSIZE Parameter 0 ABSXCONV Parameter Change Criterion 0 XCONV Parameter Change Criterion 0 XSIZE Parameter 0 ABSCONV Function Criterion 1.340781E154 Line Search Method 2 Starting Alpha for Line Search 1 Line Search Precision LSPRECISION 0.4 DAMPSTEP Parameter for Line Search . MAXSTEP Parameter for Line Search 0 FD Derivatives: Accurate Digits in Obj.F 15.653559775 Singularity Tolerance (SINGULAR) 1E-8 Constraint Precision (LCEPS) 1E-8 Linearly Dependent Constraints (LCSING) 1E-8 Releasing Active Constraints (LCDEACT) . Dual Quasi-Newton Optimization Dual Broyden - Fletcher - Goldfarb - Shanno Update (DBFGS) Gradient Computed by Finite Differences Parameter Estimates 12 Lower Bounds 10 Upper Bounds 10 Optimization Start Active Constraints 0 Objective Function -9268645.138 Max Abs Gradient Element 0 Optimization Results Iterations 0 Function Calls 2 Gradient Calls 2 Active Constraints 0 Objective Function -9268645.138 Max Abs Gradient Element 0 Slope of Search Direction 0 ABSGCONV convergence criterion satisfied. The SAS System 07:46 Monday, October 16, 2017 7478 Optimization Results Parameter Estimates Gradient Objective N Parameter Estimate Function 1 X1 3.480000 0 2 X2 0.276000 0 3 X3 0.118000 0 4 X4 -0.022500 0 5 X5 0.101000 0 6 X6 0.011250 0 7 X7 0.290000 0 8 X8 0.000000100 0 9 X9 0.000000100 0 10 X10 0.000000100 0 11 X11 0.000000100 0 12 X12 0.000000100 0 Value of Objective Function = -9268645.138 The SAS System 07:46 Monday, October 16, 2017 7479 Optimization Start Parameter Estimates Gradient Lower Upper Objective Bound Bound N Parameter Estimate Function Constraint Constraint 1 X1 3.480000 0 0 1E300 2 X2 0.276000 0 0 1E300 3 X3 0.118000 0 -1E300 1E300 4 X4 -0.022500 0 -1E300 1E300 5 X5 0.101000 0 0 1E300 6 X6 0.011250 0 -1E300 1E300 7 X7 0.310000 0 -1.000000 1.000000 8 X8 0.000000100 0 1E-9 1E300 9 X9 0.000000100 0 1E-9 1E300 10 X10 0.000000100 0 1E-9 1E300 11 X11 0.000000100 0 . . 12 X12 0.000000100 0 . . Value of Objective Function = -9268645.138 The SAS System 07:46 Monday, October 16, 2017 7480 Dual Quasi-Newton Optimization Minimum Iterations 0 Maximum Iterations 2000 Maximum Function Calls 5000 ABSGCONV Gradient Criterion 0.00001 GCONV Gradient Criterion 1E-8 ABSFCONV Function Criterion 0 FCONV Function Criterion 2.220446E-16 FCONV2 Function Criterion 0 FSIZE Parameter 0 ABSXCONV Parameter Change Criterion 0 XCONV Parameter Change Criterion 0 XSIZE Parameter 0 ABSCONV Function Criterion 1.340781E154 Line Search Method 2 Starting Alpha for Line Search 1 Line Search Precision LSPRECISION 0.4 DAMPSTEP Parameter for Line Search . MAXSTEP Parameter for Line Search 0 FD Derivatives: Accurate Digits in Obj.F 15.653559775 Singularity Tolerance (SINGULAR) 1E-8 Constraint Precision (LCEPS) 1E-8 Linearly Dependent Constraints (LCSING) 1E-8 Releasing Active Constraints (LCDEACT) . Dual Quasi-Newton Optimization Dual Broyden - Fletcher - Goldfarb - Shanno Update (DBFGS) Gradient Computed by Finite Differences Parameter Estimates 12 Lower Bounds 10 Upper Bounds 10 Optimization Start Active Constraints 0 Objective Function -9268645.138 Max Abs Gradient Element 0 Optimization Results Iterations 0 Function Calls 2 Gradient Calls 2 Active Constraints 0 Objective Function -9268645.138 Max Abs Gradient Element 0 Slope of Search Direction 0 ABSGCONV convergence criterion satisfied. The SAS System 07:46 Monday, October 16, 2017 7481 Optimization Results Parameter Estimates Gradient Objective N Parameter Estimate Function 1 X1 3.480000 0 2 X2 0.276000 0 3 X3 0.118000 0 4 X4 -0.022500 0 5 X5 0.101000 0 6 X6 0.011250 0 7 X7 0.310000 0 8 X8 0.000000100 0 9 X9 0.000000100 0 10 X10 0.000000100 0 11 X11 0.000000100 0 12 X12 0.000000100 0 Value of Objective Function = -9268645.138 The SAS System 07:46 Monday, October 16, 2017 7482 Optimization Start Parameter Estimates Gradient Lower Upper Objective Bound Bound N Parameter Estimate Function Constraint Constraint 1 X1 3.480000 0 0 1E300 2 X2 0.276000 0 0 1E300 3 X3 0.118000 0 -1E300 1E300 4 X4 -0.022500 0 -1E300 1E300 5 X5 0.151000 0 0 1E300 6 X6 0.001250 0 -1E300 1E300 7 X7 0.290000 0 -1.000000 1.000000 8 X8 0.000000100 0 1E-9 1E300 9 X9 0.000000100 0 1E-9 1E300 10 X10 0.000000100 0 1E-9 1E300 11 X11 0.000000100 0 . . 12 X12 0.000000100 0 . . Value of Objective Function = -9268645.142 The SAS System 07:46 Monday, October 16, 2017 7483 Dual Quasi-Newton Optimization Minimum Iterations 0 Maximum Iterations 2000 Maximum Function Calls 5000 ABSGCONV Gradient Criterion 0.00001 GCONV Gradient Criterion 1E-8 ABSFCONV Function Criterion 0 FCONV Function Criterion 2.220446E-16 FCONV2 Function Criterion 0 FSIZE Parameter 0 ABSXCONV Parameter Change Criterion 0 XCONV Parameter Change Criterion 0 XSIZE Parameter 0 ABSCONV Function Criterion 1.340781E154 Line Search Method 2 Starting Alpha for Line Search 1 Line Search Precision LSPRECISION 0.4 DAMPSTEP Parameter for Line Search . MAXSTEP Parameter for Line Search 0 FD Derivatives: Accurate Digits in Obj.F 15.653559775 Singularity Tolerance (SINGULAR) 1E-8 Constraint Precision (LCEPS) 1E-8 Linearly Dependent Constraints (LCSING) 1E-8 Releasing Active Constraints (LCDEACT) . Dual Quasi-Newton Optimization Dual Broyden - Fletcher - Goldfarb - Shanno Update (DBFGS) Gradient Computed by Finite Differences Parameter Estimates 12 Lower Bounds 10 Upper Bounds 10 Optimization Start Active Constraints 0 Objective Function -9268645.142 Max Abs Gradient Element 0 Optimization Results Iterations 0 Function Calls 2 Gradient Calls 2 Active Constraints 0 Objective Function -9268645.142 Max Abs Gradient Element 0 Slope of Search Direction 0 ABSGCONV convergence criterion satisfied. The SAS System 07:46 Monday, October 16, 2017 7484 Optimization Results Parameter Estimates Gradient Objective N Parameter Estimate Function 1 X1 3.480000 0 2 X2 0.276000 0 3 X3 0.118000 0 4 X4 -0.022500 0 5 X5 0.151000 0 6 X6 0.001250 0 7 X7 0.290000 0 8 X8 0.000000100 0 9 X9 0.000000100 0 10 X10 0.000000100 0 11 X11 0.000000100 0 12 X12 0.000000100 0 Value of Objective Function = -9268645.142 The SAS System 07:46 Monday, October 16, 2017 7485 Optimization Start Parameter Estimates Gradient Lower Upper Objective Bound Bound N Parameter Estimate Function Constraint Constraint 1 X1 3.480000 0 0 1E300 2 X2 0.276000 0 0 1E300 3 X3 0.118000 0 -1E300 1E300 4 X4 -0.022500 0 -1E300 1E300 5 X5 0.151000 0 0 1E300 6 X6 0.001250 0 -1E300 1E300 7 X7 0.310000 0 -1.000000 1.000000 8 X8 0.000000100 0 1E-9 1E300 9 X9 0.000000100 0 1E-9 1E300 10 X10 0.000000100 0 1E-9 1E300 11 X11 0.000000100 0 . . 12 X12 0.000000100 0 . . Value of Objective Function = -9268645.141 The SAS System 07:46 Monday, October 16, 2017 7486 Dual Quasi-Newton Optimization Minimum Iterations 0 Maximum Iterations 2000 Maximum Function Calls 5000 ABSGCONV Gradient Criterion 0.00001 GCONV Gradient Criterion 1E-8 ABSFCONV Function Criterion 0 FCONV Function Criterion 2.220446E-16 FCONV2 Function Criterion 0 FSIZE Parameter 0 ABSXCONV Parameter Change Criterion 0 XCONV Parameter Change Criterion 0 XSIZE Parameter 0 ABSCONV Function Criterion 1.340781E154 Line Search Method 2 Starting Alpha for Line Search 1 Line Search Precision LSPRECISION 0.4 DAMPSTEP Parameter for Line Search . MAXSTEP Parameter for Line Search 0 FD Derivatives: Accurate Digits in Obj.F 15.653559775 Singularity Tolerance (SINGULAR) 1E-8 Constraint Precision (LCEPS) 1E-8 Linearly Dependent Constraints (LCSING) 1E-8 Releasing Active Constraints (LCDEACT) . Dual Quasi-Newton Optimization Dual Broyden - Fletcher - Goldfarb - Shanno Update (DBFGS) Gradient Computed by Finite Differences Parameter Estimates 12 Lower Bounds 10 Upper Bounds 10 Optimization Start Active Constraints 0 Objective Function -9268645.141 Max Abs Gradient Element 0 Optimization Results Iterations 0 Function Calls 2 Gradient Calls 2 Active Constraints 0 Objective Function -9268645.141 Max Abs Gradient Element 0 Slope of Search Direction 0 ABSGCONV convergence criterion satisfied. The SAS System 07:46 Monday, October 16, 2017 7487 Optimization Results Parameter Estimates Gradient Objective N Parameter Estimate Function 1 X1 3.480000 0 2 X2 0.276000 0 3 X3 0.118000 0 4 X4 -0.022500 0 5 X5 0.151000 0 6 X6 0.001250 0 7 X7 0.310000 0 8 X8 0.000000100 0 9 X9 0.000000100 0 10 X10 0.000000100 0 11 X11 0.000000100 0 12 X12 0.000000100 0 Value of Objective Function = -9268645.141 The SAS System 07:46 Monday, October 16, 2017 7488 Optimization Start Parameter Estimates Gradient Lower Upper Objective Bound Bound N Parameter Estimate Function Constraint Constraint 1 X1 3.480000 0 0 1E300 2 X2 0.276000 0 0 1E300 3 X3 0.118000 0 -1E300 1E300 4 X4 -0.022500 0 -1E300 1E300 5 X5 0.151000 0 0 1E300 6 X6 0.011250 0 -1E300 1E300 7 X7 0.290000 0 -1.000000 1.000000 8 X8 0.000000100 0 1E-9 1E300 9 X9 0.000000100 0 1E-9 1E300 10 X10 0.000000100 0 1E-9 1E300 11 X11 0.000000100 0 . . 12 X12 0.000000100 0 . . Value of Objective Function = -9268645.133 The SAS System 07:46 Monday, October 16, 2017 7489 Dual Quasi-Newton Optimization Minimum Iterations 0 Maximum Iterations 2000 Maximum Function Calls 5000 ABSGCONV Gradient Criterion 0.00001 GCONV Gradient Criterion 1E-8 ABSFCONV Function Criterion 0 FCONV Function Criterion 2.220446E-16 FCONV2 Function Criterion 0 FSIZE Parameter 0 ABSXCONV Parameter Change Criterion 0 XCONV Parameter Change Criterion 0 XSIZE Parameter 0 ABSCONV Function Criterion 1.340781E154 Line Search Method 2 Starting Alpha for Line Search 1 Line Search Precision LSPRECISION 0.4 DAMPSTEP Parameter for Line Search . MAXSTEP Parameter for Line Search 0 FD Derivatives: Accurate Digits in Obj.F 15.653559775 Singularity Tolerance (SINGULAR) 1E-8 Constraint Precision (LCEPS) 1E-8 Linearly Dependent Constraints (LCSING) 1E-8 Releasing Active Constraints (LCDEACT) . Dual Quasi-Newton Optimization Dual Broyden - Fletcher - Goldfarb - Shanno Update (DBFGS) Gradient Computed by Finite Differences Parameter Estimates 12 Lower Bounds 10 Upper Bounds 10 Optimization Start Active Constraints 0 Objective Function -9268645.133 Max Abs Gradient Element 0 Optimization Results Iterations 0 Function Calls 2 Gradient Calls 2 Active Constraints 0 Objective Function -9268645.133 Max Abs Gradient Element 0 Slope of Search Direction 0 ABSGCONV convergence criterion satisfied. The SAS System 07:46 Monday, October 16, 2017 7490 Optimization Results Parameter Estimates Gradient Objective N Parameter Estimate Function 1 X1 3.480000 0 2 X2 0.276000 0 3 X3 0.118000 0 4 X4 -0.022500 0 5 X5 0.151000 0 6 X6 0.011250 0 7 X7 0.290000 0 8 X8 0.000000100 0 9 X9 0.000000100 0 10 X10 0.000000100 0 11 X11 0.000000100 0 12 X12 0.000000100 0 Value of Objective Function = -9268645.133 The SAS System 07:46 Monday, October 16, 2017 7491 Optimization Start Parameter Estimates Gradient Lower Upper Objective Bound Bound N Parameter Estimate Function Constraint Constraint 1 X1 3.480000 0 0 1E300 2 X2 0.276000 0 0 1E300 3 X3 0.118000 0 -1E300 1E300 4 X4 -0.022500 0 -1E300 1E300 5 X5 0.151000 0 0 1E300 6 X6 0.011250 0 -1E300 1E300 7 X7 0.310000 0 -1.000000 1.000000 8 X8 0.000000100 0 1E-9 1E300 9 X9 0.000000100 0 1E-9 1E300 10 X10 0.000000100 0 1E-9 1E300 11 X11 0.000000100 0 . . 12 X12 0.000000100 0 . . Value of Objective Function = -9268645.133 The SAS System 07:46 Monday, October 16, 2017 7492 Dual Quasi-Newton Optimization Minimum Iterations 0 Maximum Iterations 2000 Maximum Function Calls 5000 ABSGCONV Gradient Criterion 0.00001 GCONV Gradient Criterion 1E-8 ABSFCONV Function Criterion 0 FCONV Function Criterion 2.220446E-16 FCONV2 Function Criterion 0 FSIZE Parameter 0 ABSXCONV Parameter Change Criterion 0 XCONV Parameter Change Criterion 0 XSIZE Parameter 0 ABSCONV Function Criterion 1.340781E154 Line Search Method 2 Starting Alpha for Line Search 1 Line Search Precision LSPRECISION 0.4 DAMPSTEP Parameter for Line Search . MAXSTEP Parameter for Line Search 0 FD Derivatives: Accurate Digits in Obj.F 15.653559775 Singularity Tolerance (SINGULAR) 1E-8 Constraint Precision (LCEPS) 1E-8 Linearly Dependent Constraints (LCSING) 1E-8 Releasing Active Constraints (LCDEACT) . Dual Quasi-Newton Optimization Dual Broyden - Fletcher - Goldfarb - Shanno Update (DBFGS) Gradient Computed by Finite Differences Parameter Estimates 12 Lower Bounds 10 Upper Bounds 10 Optimization Start Active Constraints 0 Objective Function -9268645.133 Max Abs Gradient Element 0 Optimization Results Iterations 0 Function Calls 2 Gradient Calls 2 Active Constraints 0 Objective Function -9268645.133 Max Abs Gradient Element 0 Slope of Search Direction 0 ABSGCONV convergence criterion satisfied. The SAS System 07:46 Monday, October 16, 2017 7493 Optimization Results Parameter Estimates Gradient Objective N Parameter Estimate Function 1 X1 3.480000 0 2 X2 0.276000 0 3 X3 0.118000 0 4 X4 -0.022500 0 5 X5 0.151000 0 6 X6 0.011250 0 7 X7 0.310000 0 8 X8 0.000000100 0 9 X9 0.000000100 0 10 X10 0.000000100 0 11 X11 0.000000100 0 12 X12 0.000000100 0 Value of Objective Function = -9268645.133 The SAS System 07:46 Monday, October 16, 2017 7494 Optimization Start Parameter Estimates Gradient Lower Upper Objective Bound Bound N Parameter Estimate Function Constraint Constraint 1 X1 3.480000 0 0 1E300 2 X2 0.276000 0 0 1E300 3 X3 0.118000 0 -1E300 1E300 4 X4 0.012500 0 -1E300 1E300 5 X5 0.001000 0 0 1E300 6 X6 0.001250 0 -1E300 1E300 7 X7 0.290000 0 -1.000000 1.000000 8 X8 0.000000100 0 1E-9 1E300 9 X9 0.000000100 0 1E-9 1E300 10 X10 0.000000100 0 1E-9 1E300 11 X11 0.000000100 0 . . 12 X12 0.000000100 0 . . Value of Objective Function = -9268645.18 The SAS System 07:46 Monday, October 16, 2017 7495 Dual Quasi-Newton Optimization Minimum Iterations 0 Maximum Iterations 2000 Maximum Function Calls 5000 ABSGCONV Gradient Criterion 0.00001 GCONV Gradient Criterion 1E-8 ABSFCONV Function Criterion 0 FCONV Function Criterion 2.220446E-16 FCONV2 Function Criterion 0 FSIZE Parameter 0 ABSXCONV Parameter Change Criterion 0 XCONV Parameter Change Criterion 0 XSIZE Parameter 0 ABSCONV Function Criterion 1.340781E154 Line Search Method 2 Starting Alpha for Line Search 1 Line Search Precision LSPRECISION 0.4 DAMPSTEP Parameter for Line Search . MAXSTEP Parameter for Line Search 0 FD Derivatives: Accurate Digits in Obj.F 15.653559775 Singularity Tolerance (SINGULAR) 1E-8 Constraint Precision (LCEPS) 1E-8 Linearly Dependent Constraints (LCSING) 1E-8 Releasing Active Constraints (LCDEACT) . Dual Quasi-Newton Optimization Dual Broyden - Fletcher - Goldfarb - Shanno Update (DBFGS) Gradient Computed by Finite Differences Parameter Estimates 12 Lower Bounds 10 Upper Bounds 10 Optimization Start Active Constraints 0 Objective Function -9268645.18 Max Abs Gradient Element 0 Optimization Results Iterations 0 Function Calls 2 Gradient Calls 2 Active Constraints 0 Objective Function -9268645.18 Max Abs Gradient Element 0 Slope of Search Direction 0 ABSGCONV convergence criterion satisfied. The SAS System 07:46 Monday, October 16, 2017 7496 Optimization Results Parameter Estimates Gradient Objective N Parameter Estimate Function 1 X1 3.480000 0 2 X2 0.276000 0 3 X3 0.118000 0 4 X4 0.012500 0 5 X5 0.001000 0 6 X6 0.001250 0 7 X7 0.290000 0 8 X8 0.000000100 0 9 X9 0.000000100 0 10 X10 0.000000100 0 11 X11 0.000000100 0 12 X12 0.000000100 0 Value of Objective Function = -9268645.18 The SAS System 07:46 Monday, October 16, 2017 7497 Optimization Start Parameter Estimates Gradient Lower Upper Objective Bound Bound N Parameter Estimate Function Constraint Constraint 1 X1 3.480000 0 0 1E300 2 X2 0.276000 0 0 1E300 3 X3 0.118000 0 -1E300 1E300 4 X4 0.012500 0 -1E300 1E300 5 X5 0.001000 0 0 1E300 6 X6 0.001250 0 -1E300 1E300 7 X7 0.310000 0 -1.000000 1.000000 8 X8 0.000000100 0 1E-9 1E300 9 X9 0.000000100 0 1E-9 1E300 10 X10 0.000000100 0 1E-9 1E300 11 X11 0.000000100 0 . . 12 X12 0.000000100 0 . . Value of Objective Function = -9268645.18 The SAS System 07:46 Monday, October 16, 2017 7498 Dual Quasi-Newton Optimization Minimum Iterations 0 Maximum Iterations 2000 Maximum Function Calls 5000 ABSGCONV Gradient Criterion 0.00001 GCONV Gradient Criterion 1E-8 ABSFCONV Function Criterion 0 FCONV Function Criterion 2.220446E-16 FCONV2 Function Criterion 0 FSIZE Parameter 0 ABSXCONV Parameter Change Criterion 0 XCONV Parameter Change Criterion 0 XSIZE Parameter 0 ABSCONV Function Criterion 1.340781E154 Line Search Method 2 Starting Alpha for Line Search 1 Line Search Precision LSPRECISION 0.4 DAMPSTEP Parameter for Line Search . MAXSTEP Parameter for Line Search 0 FD Derivatives: Accurate Digits in Obj.F 15.653559775 Singularity Tolerance (SINGULAR) 1E-8 Constraint Precision (LCEPS) 1E-8 Linearly Dependent Constraints (LCSING) 1E-8 Releasing Active Constraints (LCDEACT) . Dual Quasi-Newton Optimization Dual Broyden - Fletcher - Goldfarb - Shanno Update (DBFGS) Gradient Computed by Finite Differences Parameter Estimates 12 Lower Bounds 10 Upper Bounds 10 Optimization Start Active Constraints 0 Objective Function -9268645.18 Max Abs Gradient Element 0 Optimization Results Iterations 0 Function Calls 2 Gradient Calls 2 Active Constraints 0 Objective Function -9268645.18 Max Abs Gradient Element 0 Slope of Search Direction 0 ABSGCONV convergence criterion satisfied. The SAS System 07:46 Monday, October 16, 2017 7499 Optimization Results Parameter Estimates Gradient Objective N Parameter Estimate Function 1 X1 3.480000 0 2 X2 0.276000 0 3 X3 0.118000 0 4 X4 0.012500 0 5 X5 0.001000 0 6 X6 0.001250 0 7 X7 0.310000 0 8 X8 0.000000100 0 9 X9 0.000000100 0 10 X10 0.000000100 0 11 X11 0.000000100 0 12 X12 0.000000100 0 Value of Objective Function = -9268645.18 The SAS System 07:46 Monday, October 16, 2017 7500 Optimization Start Parameter Estimates Gradient Lower Upper Objective Bound Bound N Parameter Estimate Function Constraint Constraint 1 X1 3.480000 0 0 1E300 2 X2 0.276000 0 0 1E300 3 X3 0.118000 0 -1E300 1E300 4 X4 0.012500 0 -1E300 1E300 5 X5 0.001000 0 0 1E300 6 X6 0.011250 0 -1E300 1E300 7 X7 0.290000 0 -1.000000 1.000000 8 X8 0.000000100 0 1E-9 1E300 9 X9 0.000000100 0 1E-9 1E300 10 X10 0.000000100 0 1E-9 1E300 11 X11 0.000000100 0 . . 12 X12 0.000000100 0 . . Value of Objective Function = -9268645.15 The SAS System 07:46 Monday, October 16, 2017 7501 Dual Quasi-Newton Optimization Minimum Iterations 0 Maximum Iterations 2000 Maximum Function Calls 5000 ABSGCONV Gradient Criterion 0.00001 GCONV Gradient Criterion 1E-8 ABSFCONV Function Criterion 0 FCONV Function Criterion 2.220446E-16 FCONV2 Function Criterion 0 FSIZE Parameter 0 ABSXCONV Parameter Change Criterion 0 XCONV Parameter Change Criterion 0 XSIZE Parameter 0 ABSCONV Function Criterion 1.340781E154 Line Search Method 2 Starting Alpha for Line Search 1 Line Search Precision LSPRECISION 0.4 DAMPSTEP Parameter for Line Search . MAXSTEP Parameter for Line Search 0 FD Derivatives: Accurate Digits in Obj.F 15.653559775 Singularity Tolerance (SINGULAR) 1E-8 Constraint Precision (LCEPS) 1E-8 Linearly Dependent Constraints (LCSING) 1E-8 Releasing Active Constraints (LCDEACT) . Dual Quasi-Newton Optimization Dual Broyden - Fletcher - Goldfarb - Shanno Update (DBFGS) Gradient Computed by Finite Differences Parameter Estimates 12 Lower Bounds 10 Upper Bounds 10 Optimization Start Active Constraints 0 Objective Function -9268645.15 Max Abs Gradient Element 0 Optimization Results Iterations 0 Function Calls 2 Gradient Calls 2 Active Constraints 0 Objective Function -9268645.15 Max Abs Gradient Element 0 Slope of Search Direction 0 ABSGCONV convergence criterion satisfied. The SAS System 07:46 Monday, October 16, 2017 7502 Optimization Results Parameter Estimates Gradient Objective N Parameter Estimate Function 1 X1 3.480000 0 2 X2 0.276000 0 3 X3 0.118000 0 4 X4 0.012500 0 5 X5 0.001000 0 6 X6 0.011250 0 7 X7 0.290000 0 8 X8 0.000000100 0 9 X9 0.000000100 0 10 X10 0.000000100 0 11 X11 0.000000100 0 12 X12 0.000000100 0 Value of Objective Function = -9268645.15 The SAS System 07:46 Monday, October 16, 2017 7503 Optimization Start Parameter Estimates Gradient Lower Upper Objective Bound Bound N Parameter Estimate Function Constraint Constraint 1 X1 3.480000 0 0 1E300 2 X2 0.276000 0 0 1E300 3 X3 0.118000 0 -1E300 1E300 4 X4 0.012500 0 -1E300 1E300 5 X5 0.001000 0 0 1E300 6 X6 0.011250 0 -1E300 1E300 7 X7 0.310000 0 -1.000000 1.000000 8 X8 0.000000100 0 1E-9 1E300 9 X9 0.000000100 0 1E-9 1E300 10 X10 0.000000100 0 1E-9 1E300 11 X11 0.000000100 0 . . 12 X12 0.000000100 0 . . Value of Objective Function = -9268645.15 The SAS System 07:46 Monday, October 16, 2017 7504 Dual Quasi-Newton Optimization Minimum Iterations 0 Maximum Iterations 2000 Maximum Function Calls 5000 ABSGCONV Gradient Criterion 0.00001 GCONV Gradient Criterion 1E-8 ABSFCONV Function Criterion 0 FCONV Function Criterion 2.220446E-16 FCONV2 Function Criterion 0 FSIZE Parameter 0 ABSXCONV Parameter Change Criterion 0 XCONV Parameter Change Criterion 0 XSIZE Parameter 0 ABSCONV Function Criterion 1.340781E154 Line Search Method 2 Starting Alpha for Line Search 1 Line Search Precision LSPRECISION 0.4 DAMPSTEP Parameter for Line Search . MAXSTEP Parameter for Line Search 0 FD Derivatives: Accurate Digits in Obj.F 15.653559775 Singularity Tolerance (SINGULAR) 1E-8 Constraint Precision (LCEPS) 1E-8 Linearly Dependent Constraints (LCSING) 1E-8 Releasing Active Constraints (LCDEACT) . Dual Quasi-Newton Optimization Dual Broyden - Fletcher - Goldfarb - Shanno Update (DBFGS) Gradient Computed by Finite Differences Parameter Estimates 12 Lower Bounds 10 Upper Bounds 10 Optimization Start Active Constraints 0 Objective Function -9268645.15 Max Abs Gradient Element 0 Optimization Results Iterations 0 Function Calls 2 Gradient Calls 2 Active Constraints 0 Objective Function -9268645.15 Max Abs Gradient Element 0 Slope of Search Direction 0 ABSGCONV convergence criterion satisfied. The SAS System 07:46 Monday, October 16, 2017 7505 Optimization Results Parameter Estimates Gradient Objective N Parameter Estimate Function 1 X1 3.480000 0 2 X2 0.276000 0 3 X3 0.118000 0 4 X4 0.012500 0 5 X5 0.001000 0 6 X6 0.011250 0 7 X7 0.310000 0 8 X8 0.000000100 0 9 X9 0.000000100 0 10 X10 0.000000100 0 11 X11 0.000000100 0 12 X12 0.000000100 0 Value of Objective Function = -9268645.15 The SAS System 07:46 Monday, October 16, 2017 7506 Optimization Start Parameter Estimates Gradient Lower Upper Objective Bound Bound N Parameter Estimate Function Constraint Constraint 1 X1 3.480000 0 0 1E300 2 X2 0.276000 0 0 1E300 3 X3 0.118000 0 -1E300 1E300 4 X4 0.012500 0 -1E300 1E300 5 X5 0.051000 0 0 1E300 6 X6 0.001250 0 -1E300 1E300 7 X7 0.290000 0 -1.000000 1.000000 8 X8 0.000000100 0 1E-9 1E300 9 X9 0.000000100 0 1E-9 1E300 10 X10 0.000000100 0 1E-9 1E300 11 X11 0.000000100 0 . . 12 X12 0.000000100 0 . . Value of Objective Function = -9268645.172 The SAS System 07:46 Monday, October 16, 2017 7507 Dual Quasi-Newton Optimization Minimum Iterations 0 Maximum Iterations 2000 Maximum Function Calls 5000 ABSGCONV Gradient Criterion 0.00001 GCONV Gradient Criterion 1E-8 ABSFCONV Function Criterion 0 FCONV Function Criterion 2.220446E-16 FCONV2 Function Criterion 0 FSIZE Parameter 0 ABSXCONV Parameter Change Criterion 0 XCONV Parameter Change Criterion 0 XSIZE Parameter 0 ABSCONV Function Criterion 1.340781E154 Line Search Method 2 Starting Alpha for Line Search 1 Line Search Precision LSPRECISION 0.4 DAMPSTEP Parameter for Line Search . MAXSTEP Parameter for Line Search 0 FD Derivatives: Accurate Digits in Obj.F 15.653559775 Singularity Tolerance (SINGULAR) 1E-8 Constraint Precision (LCEPS) 1E-8 Linearly Dependent Constraints (LCSING) 1E-8 Releasing Active Constraints (LCDEACT) . Dual Quasi-Newton Optimization Dual Broyden - Fletcher - Goldfarb - Shanno Update (DBFGS) Gradient Computed by Finite Differences Parameter Estimates 12 Lower Bounds 10 Upper Bounds 10 Optimization Start Active Constraints 0 Objective Function -9268645.172 Max Abs Gradient Element 0 Optimization Results Iterations 0 Function Calls 2 Gradient Calls 2 Active Constraints 0 Objective Function -9268645.172 Max Abs Gradient Element 0 Slope of Search Direction 0 ABSGCONV convergence criterion satisfied. The SAS System 07:46 Monday, October 16, 2017 7508 Optimization Results Parameter Estimates Gradient Objective N Parameter Estimate Function 1 X1 3.480000 0 2 X2 0.276000 0 3 X3 0.118000 0 4 X4 0.012500 0 5 X5 0.051000 0 6 X6 0.001250 0 7 X7 0.290000 0 8 X8 0.000000100 0 9 X9 0.000000100 0 10 X10 0.000000100 0 11 X11 0.000000100 0 12 X12 0.000000100 0 Value of Objective Function = -9268645.172 The SAS System 07:46 Monday, October 16, 2017 7509 Optimization Start Parameter Estimates Gradient Lower Upper Objective Bound Bound N Parameter Estimate Function Constraint Constraint 1 X1 3.480000 0 0 1E300 2 X2 0.276000 0 0 1E300 3 X3 0.118000 0 -1E300 1E300 4 X4 0.012500 0 -1E300 1E300 5 X5 0.051000 0 0 1E300 6 X6 0.001250 0 -1E300 1E300 7 X7 0.310000 0 -1.000000 1.000000 8 X8 0.000000100 0 1E-9 1E300 9 X9 0.000000100 0 1E-9 1E300 10 X10 0.000000100 0 1E-9 1E300 11 X11 0.000000100 0 . . 12 X12 0.000000100 0 . . Value of Objective Function = -9268645.172 The SAS System 07:46 Monday, October 16, 2017 7510 Dual Quasi-Newton Optimization Minimum Iterations 0 Maximum Iterations 2000 Maximum Function Calls 5000 ABSGCONV Gradient Criterion 0.00001 GCONV Gradient Criterion 1E-8 ABSFCONV Function Criterion 0 FCONV Function Criterion 2.220446E-16 FCONV2 Function Criterion 0 FSIZE Parameter 0 ABSXCONV Parameter Change Criterion 0 XCONV Parameter Change Criterion 0 XSIZE Parameter 0 ABSCONV Function Criterion 1.340781E154 Line Search Method 2 Starting Alpha for Line Search 1 Line Search Precision LSPRECISION 0.4 DAMPSTEP Parameter for Line Search . MAXSTEP Parameter for Line Search 0 FD Derivatives: Accurate Digits in Obj.F 15.653559775 Singularity Tolerance (SINGULAR) 1E-8 Constraint Precision (LCEPS) 1E-8 Linearly Dependent Constraints (LCSING) 1E-8 Releasing Active Constraints (LCDEACT) . Dual Quasi-Newton Optimization Dual Broyden - Fletcher - Goldfarb - Shanno Update (DBFGS) Gradient Computed by Finite Differences Parameter Estimates 12 Lower Bounds 10 Upper Bounds 10 Optimization Start Active Constraints 0 Objective Function -9268645.172 Max Abs Gradient Element 0 Optimization Results Iterations 0 Function Calls 2 Gradient Calls 2 Active Constraints 0 Objective Function -9268645.172 Max Abs Gradient Element 0 Slope of Search Direction 0 ABSGCONV convergence criterion satisfied. The SAS System 07:46 Monday, October 16, 2017 7511 Optimization Results Parameter Estimates Gradient Objective N Parameter Estimate Function 1 X1 3.480000 0 2 X2 0.276000 0 3 X3 0.118000 0 4 X4 0.012500 0 5 X5 0.051000 0 6 X6 0.001250 0 7 X7 0.310000 0 8 X8 0.000000100 0 9 X9 0.000000100 0 10 X10 0.000000100 0 11 X11 0.000000100 0 12 X12 0.000000100 0 Value of Objective Function = -9268645.172 The SAS System 07:46 Monday, October 16, 2017 7512 Optimization Start Parameter Estimates Gradient Lower Upper Objective Bound Bound N Parameter Estimate Function Constraint Constraint 1 X1 3.480000 0 0 1E300 2 X2 0.276000 0 0 1E300 3 X3 0.118000 0 -1E300 1E300 4 X4 0.012500 0 -1E300 1E300 5 X5 0.051000 0 0 1E300 6 X6 0.011250 0 -1E300 1E300 7 X7 0.290000 0 -1.000000 1.000000 8 X8 0.000000100 0 1E-9 1E300 9 X9 0.000000100 0 1E-9 1E300 10 X10 0.000000100 0 1E-9 1E300 11 X11 0.000000100 0 . . 12 X12 0.000000100 0 . . Value of Objective Function = -9268645.145 The SAS System 07:46 Monday, October 16, 2017 7513 Dual Quasi-Newton Optimization Minimum Iterations 0 Maximum Iterations 2000 Maximum Function Calls 5000 ABSGCONV Gradient Criterion 0.00001 GCONV Gradient Criterion 1E-8 ABSFCONV Function Criterion 0 FCONV Function Criterion 2.220446E-16 FCONV2 Function Criterion 0 FSIZE Parameter 0 ABSXCONV Parameter Change Criterion 0 XCONV Parameter Change Criterion 0 XSIZE Parameter 0 ABSCONV Function Criterion 1.340781E154 Line Search Method 2 Starting Alpha for Line Search 1 Line Search Precision LSPRECISION 0.4 DAMPSTEP Parameter for Line Search . MAXSTEP Parameter for Line Search 0 FD Derivatives: Accurate Digits in Obj.F 15.653559775 Singularity Tolerance (SINGULAR) 1E-8 Constraint Precision (LCEPS) 1E-8 Linearly Dependent Constraints (LCSING) 1E-8 Releasing Active Constraints (LCDEACT) . Dual Quasi-Newton Optimization Dual Broyden - Fletcher - Goldfarb - Shanno Update (DBFGS) Gradient Computed by Finite Differences Parameter Estimates 12 Lower Bounds 10 Upper Bounds 10 Optimization Start Active Constraints 0 Objective Function -9268645.145 Max Abs Gradient Element 0 Optimization Results Iterations 0 Function Calls 2 Gradient Calls 2 Active Constraints 0 Objective Function -9268645.145 Max Abs Gradient Element 0 Slope of Search Direction 0 ABSGCONV convergence criterion satisfied. The SAS System 07:46 Monday, October 16, 2017 7514 Optimization Results Parameter Estimates Gradient Objective N Parameter Estimate Function 1 X1 3.480000 0 2 X2 0.276000 0 3 X3 0.118000 0 4 X4 0.012500 0 5 X5 0.051000 0 6 X6 0.011250 0 7 X7 0.290000 0 8 X8 0.000000100 0 9 X9 0.000000100 0 10 X10 0.000000100 0 11 X11 0.000000100 0 12 X12 0.000000100 0 Value of Objective Function = -9268645.145 The SAS System 07:46 Monday, October 16, 2017 7515 Optimization Start Parameter Estimates Gradient Lower Upper Objective Bound Bound N Parameter Estimate Function Constraint Constraint 1 X1 3.480000 0 0 1E300 2 X2 0.276000 0 0 1E300 3 X3 0.118000 0 -1E300 1E300 4 X4 0.012500 0 -1E300 1E300 5 X5 0.051000 0 0 1E300 6 X6 0.011250 0 -1E300 1E300 7 X7 0.310000 0 -1.000000 1.000000 8 X8 0.000000100 0 1E-9 1E300 9 X9 0.000000100 0 1E-9 1E300 10 X10 0.000000100 0 1E-9 1E300 11 X11 0.000000100 0 . . 12 X12 0.000000100 0 . . Value of Objective Function = -9268645.145 The SAS System 07:46 Monday, October 16, 2017 7516 Dual Quasi-Newton Optimization Minimum Iterations 0 Maximum Iterations 2000 Maximum Function Calls 5000 ABSGCONV Gradient Criterion 0.00001 GCONV Gradient Criterion 1E-8 ABSFCONV Function Criterion 0 FCONV Function Criterion 2.220446E-16 FCONV2 Function Criterion 0 FSIZE Parameter 0 ABSXCONV Parameter Change Criterion 0 XCONV Parameter Change Criterion 0 XSIZE Parameter 0 ABSCONV Function Criterion 1.340781E154 Line Search Method 2 Starting Alpha for Line Search 1 Line Search Precision LSPRECISION 0.4 DAMPSTEP Parameter for Line Search . MAXSTEP Parameter for Line Search 0 FD Derivatives: Accurate Digits in Obj.F 15.653559775 Singularity Tolerance (SINGULAR) 1E-8 Constraint Precision (LCEPS) 1E-8 Linearly Dependent Constraints (LCSING) 1E-8 Releasing Active Constraints (LCDEACT) . Dual Quasi-Newton Optimization Dual Broyden - Fletcher - Goldfarb - Shanno Update (DBFGS) Gradient Computed by Finite Differences Parameter Estimates 12 Lower Bounds 10 Upper Bounds 10 Optimization Start Active Constraints 0 Objective Function -9268645.145 Max Abs Gradient Element 0 Optimization Results Iterations 0 Function Calls 2 Gradient Calls 2 Active Constraints 0 Objective Function -9268645.145 Max Abs Gradient Element 0 Slope of Search Direction 0 ABSGCONV convergence criterion satisfied. The SAS System 07:46 Monday, October 16, 2017 7517 Optimization Results Parameter Estimates Gradient Objective N Parameter Estimate Function 1 X1 3.480000 0 2 X2 0.276000 0 3 X3 0.118000 0 4 X4 0.012500 0 5 X5 0.051000 0 6 X6 0.011250 0 7 X7 0.310000 0 8 X8 0.000000100 0 9 X9 0.000000100 0 10 X10 0.000000100 0 11 X11 0.000000100 0 12 X12 0.000000100 0 Value of Objective Function = -9268645.145 The SAS System 07:46 Monday, October 16, 2017 7518 Optimization Start Parameter Estimates Gradient Lower Upper Objective Bound Bound N Parameter Estimate Function Constraint Constraint 1 X1 3.480000 0 0 1E300 2 X2 0.276000 0 0 1E300 3 X3 0.118000 0 -1E300 1E300 4 X4 0.012500 0 -1E300 1E300 5 X5 0.101000 0 0 1E300 6 X6 0.001250 0 -1E300 1E300 7 X7 0.290000 0 -1.000000 1.000000 8 X8 0.000000100 0 1E-9 1E300 9 X9 0.000000100 0 1E-9 1E300 10 X10 0.000000100 0 1E-9 1E300 11 X11 0.000000100 0 . . 12 X12 0.000000100 0 . . Value of Objective Function = -9268645.158 The SAS System 07:46 Monday, October 16, 2017 7519 Dual Quasi-Newton Optimization Minimum Iterations 0 Maximum Iterations 2000 Maximum Function Calls 5000 ABSGCONV Gradient Criterion 0.00001 GCONV Gradient Criterion 1E-8 ABSFCONV Function Criterion 0 FCONV Function Criterion 2.220446E-16 FCONV2 Function Criterion 0 FSIZE Parameter 0 ABSXCONV Parameter Change Criterion 0 XCONV Parameter Change Criterion 0 XSIZE Parameter 0 ABSCONV Function Criterion 1.340781E154 Line Search Method 2 Starting Alpha for Line Search 1 Line Search Precision LSPRECISION 0.4 DAMPSTEP Parameter for Line Search . MAXSTEP Parameter for Line Search 0 FD Derivatives: Accurate Digits in Obj.F 15.653559775 Singularity Tolerance (SINGULAR) 1E-8 Constraint Precision (LCEPS) 1E-8 Linearly Dependent Constraints (LCSING) 1E-8 Releasing Active Constraints (LCDEACT) . Dual Quasi-Newton Optimization Dual Broyden - Fletcher - Goldfarb - Shanno Update (DBFGS) Gradient Computed by Finite Differences Parameter Estimates 12 Lower Bounds 10 Upper Bounds 10 Optimization Start Active Constraints 0 Objective Function -9268645.158 Max Abs Gradient Element 0 Optimization Results Iterations 0 Function Calls 2 Gradient Calls 2 Active Constraints 0 Objective Function -9268645.158 Max Abs Gradient Element 0 Slope of Search Direction 0 ABSGCONV convergence criterion satisfied. The SAS System 07:46 Monday, October 16, 2017 7520 Optimization Results Parameter Estimates Gradient Objective N Parameter Estimate Function 1 X1 3.480000 0 2 X2 0.276000 0 3 X3 0.118000 0 4 X4 0.012500 0 5 X5 0.101000 0 6 X6 0.001250 0 7 X7 0.290000 0 8 X8 0.000000100 0 9 X9 0.000000100 0 10 X10 0.000000100 0 11 X11 0.000000100 0 12 X12 0.000000100 0 Value of Objective Function = -9268645.158 The SAS System 07:46 Monday, October 16, 2017 7521 Optimization Start Parameter Estimates Gradient Lower Upper Objective Bound Bound N Parameter Estimate Function Constraint Constraint 1 X1 3.480000 0 0 1E300 2 X2 0.276000 0 0 1E300 3 X3 0.118000 0 -1E300 1E300 4 X4 0.012500 0 -1E300 1E300 5 X5 0.101000 0 0 1E300 6 X6 0.001250 0 -1E300 1E300 7 X7 0.310000 0 -1.000000 1.000000 8 X8 0.000000100 0 1E-9 1E300 9 X9 0.000000100 0 1E-9 1E300 10 X10 0.000000100 0 1E-9 1E300 11 X11 0.000000100 0 . . 12 X12 0.000000100 0 . . Value of Objective Function = -9268645.157 The SAS System 07:46 Monday, October 16, 2017 7522 Dual Quasi-Newton Optimization Minimum Iterations 0 Maximum Iterations 2000 Maximum Function Calls 5000 ABSGCONV Gradient Criterion 0.00001 GCONV Gradient Criterion 1E-8 ABSFCONV Function Criterion 0 FCONV Function Criterion 2.220446E-16 FCONV2 Function Criterion 0 FSIZE Parameter 0 ABSXCONV Parameter Change Criterion 0 XCONV Parameter Change Criterion 0 XSIZE Parameter 0 ABSCONV Function Criterion 1.340781E154 Line Search Method 2 Starting Alpha for Line Search 1 Line Search Precision LSPRECISION 0.4 DAMPSTEP Parameter for Line Search . MAXSTEP Parameter for Line Search 0 FD Derivatives: Accurate Digits in Obj.F 15.653559775 Singularity Tolerance (SINGULAR) 1E-8 Constraint Precision (LCEPS) 1E-8 Linearly Dependent Constraints (LCSING) 1E-8 Releasing Active Constraints (LCDEACT) . Dual Quasi-Newton Optimization Dual Broyden - Fletcher - Goldfarb - Shanno Update (DBFGS) Gradient Computed by Finite Differences Parameter Estimates 12 Lower Bounds 10 Upper Bounds 10 Optimization Start Active Constraints 0 Objective Function -9268645.157 Max Abs Gradient Element 0 Optimization Results Iterations 0 Function Calls 2 Gradient Calls 2 Active Constraints 0 Objective Function -9268645.157 Max Abs Gradient Element 0 Slope of Search Direction 0 ABSGCONV convergence criterion satisfied. The SAS System 07:46 Monday, October 16, 2017 7523 Optimization Results Parameter Estimates Gradient Objective N Parameter Estimate Function 1 X1 3.480000 0 2 X2 0.276000 0 3 X3 0.118000 0 4 X4 0.012500 0 5 X5 0.101000 0 6 X6 0.001250 0 7 X7 0.310000 0 8 X8 0.000000100 0 9 X9 0.000000100 0 10 X10 0.000000100 0 11 X11 0.000000100 0 12 X12 0.000000100 0 Value of Objective Function = -9268645.157 The SAS System 07:46 Monday, October 16, 2017 7524 Optimization Start Parameter Estimates Gradient Lower Upper Objective Bound Bound N Parameter Estimate Function Constraint Constraint 1 X1 3.480000 0 0 1E300 2 X2 0.276000 0 0 1E300 3 X3 0.118000 0 -1E300 1E300 4 X4 0.012500 0 -1E300 1E300 5 X5 0.101000 0 0 1E300 6 X6 0.011250 0 -1E300 1E300 7 X7 0.290000 0 -1.000000 1.000000 8 X8 0.000000100 0 1E-9 1E300 9 X9 0.000000100 0 1E-9 1E300 10 X10 0.000000100 0 1E-9 1E300 11 X11 0.000000100 0 . . 12 X12 0.000000100 0 . . Value of Objective Function = -9268645.138 The SAS System 07:46 Monday, October 16, 2017 7525 Dual Quasi-Newton Optimization Minimum Iterations 0 Maximum Iterations 2000 Maximum Function Calls 5000 ABSGCONV Gradient Criterion 0.00001 GCONV Gradient Criterion 1E-8 ABSFCONV Function Criterion 0 FCONV Function Criterion 2.220446E-16 FCONV2 Function Criterion 0 FSIZE Parameter 0 ABSXCONV Parameter Change Criterion 0 XCONV Parameter Change Criterion 0 XSIZE Parameter 0 ABSCONV Function Criterion 1.340781E154 Line Search Method 2 Starting Alpha for Line Search 1 Line Search Precision LSPRECISION 0.4 DAMPSTEP Parameter for Line Search . MAXSTEP Parameter for Line Search 0 FD Derivatives: Accurate Digits in Obj.F 15.653559775 Singularity Tolerance (SINGULAR) 1E-8 Constraint Precision (LCEPS) 1E-8 Linearly Dependent Constraints (LCSING) 1E-8 Releasing Active Constraints (LCDEACT) . Dual Quasi-Newton Optimization Dual Broyden - Fletcher - Goldfarb - Shanno Update (DBFGS) Gradient Computed by Finite Differences Parameter Estimates 12 Lower Bounds 10 Upper Bounds 10 Optimization Start Active Constraints 0 Objective Function -9268645.138 Max Abs Gradient Element 0 Optimization Results Iterations 0 Function Calls 2 Gradient Calls 2 Active Constraints 0 Objective Function -9268645.138 Max Abs Gradient Element 0 Slope of Search Direction 0 ABSGCONV convergence criterion satisfied. The SAS System 07:46 Monday, October 16, 2017 7526 Optimization Results Parameter Estimates Gradient Objective N Parameter Estimate Function 1 X1 3.480000 0 2 X2 0.276000 0 3 X3 0.118000 0 4 X4 0.012500 0 5 X5 0.101000 0 6 X6 0.011250 0 7 X7 0.290000 0 8 X8 0.000000100 0 9 X9 0.000000100 0 10 X10 0.000000100 0 11 X11 0.000000100 0 12 X12 0.000000100 0 Value of Objective Function = -9268645.138 The SAS System 07:46 Monday, October 16, 2017 7527 Optimization Start Parameter Estimates Gradient Lower Upper Objective Bound Bound N Parameter Estimate Function Constraint Constraint 1 X1 3.480000 0 0 1E300 2 X2 0.276000 0 0 1E300 3 X3 0.118000 0 -1E300 1E300 4 X4 0.012500 0 -1E300 1E300 5 X5 0.101000 0 0 1E300 6 X6 0.011250 0 -1E300 1E300 7 X7 0.310000 0 -1.000000 1.000000 8 X8 0.000000100 0 1E-9 1E300 9 X9 0.000000100 0 1E-9 1E300 10 X10 0.000000100 0 1E-9 1E300 11 X11 0.000000100 0 . . 12 X12 0.000000100 0 . . Value of Objective Function = -9268645.138 The SAS System 07:46 Monday, October 16, 2017 7528 Dual Quasi-Newton Optimization Minimum Iterations 0 Maximum Iterations 2000 Maximum Function Calls 5000 ABSGCONV Gradient Criterion 0.00001 GCONV Gradient Criterion 1E-8 ABSFCONV Function Criterion 0 FCONV Function Criterion 2.220446E-16 FCONV2 Function Criterion 0 FSIZE Parameter 0 ABSXCONV Parameter Change Criterion 0 XCONV Parameter Change Criterion 0 XSIZE Parameter 0 ABSCONV Function Criterion 1.340781E154 Line Search Method 2 Starting Alpha for Line Search 1 Line Search Precision LSPRECISION 0.4 DAMPSTEP Parameter for Line Search . MAXSTEP Parameter for Line Search 0 FD Derivatives: Accurate Digits in Obj.F 15.653559775 Singularity Tolerance (SINGULAR) 1E-8 Constraint Precision (LCEPS) 1E-8 Linearly Dependent Constraints (LCSING) 1E-8 Releasing Active Constraints (LCDEACT) . Dual Quasi-Newton Optimization Dual Broyden - Fletcher - Goldfarb - Shanno Update (DBFGS) Gradient Computed by Finite Differences Parameter Estimates 12 Lower Bounds 10 Upper Bounds 10 Optimization Start Active Constraints 0 Objective Function -9268645.138 Max Abs Gradient Element 0 Optimization Results Iterations 0 Function Calls 2 Gradient Calls 2 Active Constraints 0 Objective Function -9268645.138 Max Abs Gradient Element 0 Slope of Search Direction 0 ABSGCONV convergence criterion satisfied. The SAS System 07:46 Monday, October 16, 2017 7529 Optimization Results Parameter Estimates Gradient Objective N Parameter Estimate Function 1 X1 3.480000 0 2 X2 0.276000 0 3 X3 0.118000 0 4 X4 0.012500 0 5 X5 0.101000 0 6 X6 0.011250 0 7 X7 0.310000 0 8 X8 0.000000100 0 9 X9 0.000000100 0 10 X10 0.000000100 0 11 X11 0.000000100 0 12 X12 0.000000100 0 Value of Objective Function = -9268645.138 The SAS System 07:46 Monday, October 16, 2017 7530 Optimization Start Parameter Estimates Gradient Lower Upper Objective Bound Bound N Parameter Estimate Function Constraint Constraint 1 X1 3.480000 0 0 1E300 2 X2 0.276000 0 0 1E300 3 X3 0.118000 0 -1E300 1E300 4 X4 0.012500 0 -1E300 1E300 5 X5 0.151000 0 0 1E300 6 X6 0.001250 0 -1E300 1E300 7 X7 0.290000 0 -1.000000 1.000000 8 X8 0.000000100 0 1E-9 1E300 9 X9 0.000000100 0 1E-9 1E300 10 X10 0.000000100 0 1E-9 1E300 11 X11 0.000000100 0 . . 12 X12 0.000000100 0 . . Value of Objective Function = -9268645.142 The SAS System 07:46 Monday, October 16, 2017 7531 Dual Quasi-Newton Optimization Minimum Iterations 0 Maximum Iterations 2000 Maximum Function Calls 5000 ABSGCONV Gradient Criterion 0.00001 GCONV Gradient Criterion 1E-8 ABSFCONV Function Criterion 0 FCONV Function Criterion 2.220446E-16 FCONV2 Function Criterion 0 FSIZE Parameter 0 ABSXCONV Parameter Change Criterion 0 XCONV Parameter Change Criterion 0 XSIZE Parameter 0 ABSCONV Function Criterion 1.340781E154 Line Search Method 2 Starting Alpha for Line Search 1 Line Search Precision LSPRECISION 0.4 DAMPSTEP Parameter for Line Search . MAXSTEP Parameter for Line Search 0 FD Derivatives: Accurate Digits in Obj.F 15.653559775 Singularity Tolerance (SINGULAR) 1E-8 Constraint Precision (LCEPS) 1E-8 Linearly Dependent Constraints (LCSING) 1E-8 Releasing Active Constraints (LCDEACT) . Dual Quasi-Newton Optimization Dual Broyden - Fletcher - Goldfarb - Shanno Update (DBFGS) Gradient Computed by Finite Differences Parameter Estimates 12 Lower Bounds 10 Upper Bounds 10 Optimization Start Active Constraints 0 Objective Function -9268645.142 Max Abs Gradient Element 0 Optimization Results Iterations 0 Function Calls 2 Gradient Calls 2 Active Constraints 0 Objective Function -9268645.142 Max Abs Gradient Element 0 Slope of Search Direction 0 ABSGCONV convergence criterion satisfied. The SAS System 07:46 Monday, October 16, 2017 7532 Optimization Results Parameter Estimates Gradient Objective N Parameter Estimate Function 1 X1 3.480000 0 2 X2 0.276000 0 3 X3 0.118000 0 4 X4 0.012500 0 5 X5 0.151000 0 6 X6 0.001250 0 7 X7 0.290000 0 8 X8 0.000000100 0 9 X9 0.000000100 0 10 X10 0.000000100 0 11 X11 0.000000100 0 12 X12 0.000000100 0 Value of Objective Function = -9268645.142 The SAS System 07:46 Monday, October 16, 2017 7533 Optimization Start Parameter Estimates Gradient Lower Upper Objective Bound Bound N Parameter Estimate Function Constraint Constraint 1 X1 3.480000 0 0 1E300 2 X2 0.276000 0 0 1E300 3 X3 0.118000 0 -1E300 1E300 4 X4 0.012500 0 -1E300 1E300 5 X5 0.151000 0 0 1E300 6 X6 0.001250 0 -1E300 1E300 7 X7 0.310000 0 -1.000000 1.000000 8 X8 0.000000100 0 1E-9 1E300 9 X9 0.000000100 0 1E-9 1E300 10 X10 0.000000100 0 1E-9 1E300 11 X11 0.000000100 0 . . 12 X12 0.000000100 0 . . Value of Objective Function = -9268645.142 The SAS System 07:46 Monday, October 16, 2017 7534 Dual Quasi-Newton Optimization Minimum Iterations 0 Maximum Iterations 2000 Maximum Function Calls 5000 ABSGCONV Gradient Criterion 0.00001 GCONV Gradient Criterion 1E-8 ABSFCONV Function Criterion 0 FCONV Function Criterion 2.220446E-16 FCONV2 Function Criterion 0 FSIZE Parameter 0 ABSXCONV Parameter Change Criterion 0 XCONV Parameter Change Criterion 0 XSIZE Parameter 0 ABSCONV Function Criterion 1.340781E154 Line Search Method 2 Starting Alpha for Line Search 1 Line Search Precision LSPRECISION 0.4 DAMPSTEP Parameter for Line Search . MAXSTEP Parameter for Line Search 0 FD Derivatives: Accurate Digits in Obj.F 15.653559775 Singularity Tolerance (SINGULAR) 1E-8 Constraint Precision (LCEPS) 1E-8 Linearly Dependent Constraints (LCSING) 1E-8 Releasing Active Constraints (LCDEACT) . Dual Quasi-Newton Optimization Dual Broyden - Fletcher - Goldfarb - Shanno Update (DBFGS) Gradient Computed by Finite Differences Parameter Estimates 12 Lower Bounds 10 Upper Bounds 10 Optimization Start Active Constraints 0 Objective Function -9268645.142 Max Abs Gradient Element 0 Optimization Results Iterations 0 Function Calls 2 Gradient Calls 2 Active Constraints 0 Objective Function -9268645.142 Max Abs Gradient Element 0 Slope of Search Direction 0 ABSGCONV convergence criterion satisfied. The SAS System 07:46 Monday, October 16, 2017 7535 Optimization Results Parameter Estimates Gradient Objective N Parameter Estimate Function 1 X1 3.480000 0 2 X2 0.276000 0 3 X3 0.118000 0 4 X4 0.012500 0 5 X5 0.151000 0 6 X6 0.001250 0 7 X7 0.310000 0 8 X8 0.000000100 0 9 X9 0.000000100 0 10 X10 0.000000100 0 11 X11 0.000000100 0 12 X12 0.000000100 0 Value of Objective Function = -9268645.142 The SAS System 07:46 Monday, October 16, 2017 7536 Optimization Start Parameter Estimates Gradient Lower Upper Objective Bound Bound N Parameter Estimate Function Constraint Constraint 1 X1 3.480000 0 0 1E300 2 X2 0.276000 0 0 1E300 3 X3 0.118000 0 -1E300 1E300 4 X4 0.012500 0 -1E300 1E300 5 X5 0.151000 0 0 1E300 6 X6 0.011250 0 -1E300 1E300 7 X7 0.290000 0 -1.000000 1.000000 8 X8 0.000000100 0 1E-9 1E300 9 X9 0.000000100 0 1E-9 1E300 10 X10 0.000000100 0 1E-9 1E300 11 X11 0.000000100 0 . . 12 X12 0.000000100 0 . . Value of Objective Function = -9268645.133 The SAS System 07:46 Monday, October 16, 2017 7537 Dual Quasi-Newton Optimization Minimum Iterations 0 Maximum Iterations 2000 Maximum Function Calls 5000 ABSGCONV Gradient Criterion 0.00001 GCONV Gradient Criterion 1E-8 ABSFCONV Function Criterion 0 FCONV Function Criterion 2.220446E-16 FCONV2 Function Criterion 0 FSIZE Parameter 0 ABSXCONV Parameter Change Criterion 0 XCONV Parameter Change Criterion 0 XSIZE Parameter 0 ABSCONV Function Criterion 1.340781E154 Line Search Method 2 Starting Alpha for Line Search 1 Line Search Precision LSPRECISION 0.4 DAMPSTEP Parameter for Line Search . MAXSTEP Parameter for Line Search 0 FD Derivatives: Accurate Digits in Obj.F 15.653559775 Singularity Tolerance (SINGULAR) 1E-8 Constraint Precision (LCEPS) 1E-8 Linearly Dependent Constraints (LCSING) 1E-8 Releasing Active Constraints (LCDEACT) . Dual Quasi-Newton Optimization Dual Broyden - Fletcher - Goldfarb - Shanno Update (DBFGS) Gradient Computed by Finite Differences Parameter Estimates 12 Lower Bounds 10 Upper Bounds 10 Optimization Start Active Constraints 0 Objective Function -9268645.133 Max Abs Gradient Element 0 Optimization Results Iterations 0 Function Calls 2 Gradient Calls 2 Active Constraints 0 Objective Function -9268645.133 Max Abs Gradient Element 0 Slope of Search Direction 0 ABSGCONV convergence criterion satisfied. The SAS System 07:46 Monday, October 16, 2017 7538 Optimization Results Parameter Estimates Gradient Objective N Parameter Estimate Function 1 X1 3.480000 0 2 X2 0.276000 0 3 X3 0.118000 0 4 X4 0.012500 0 5 X5 0.151000 0 6 X6 0.011250 0 7 X7 0.290000 0 8 X8 0.000000100 0 9 X9 0.000000100 0 10 X10 0.000000100 0 11 X11 0.000000100 0 12 X12 0.000000100 0 Value of Objective Function = -9268645.133 The SAS System 07:46 Monday, October 16, 2017 7539 Optimization Start Parameter Estimates Gradient Lower Upper Objective Bound Bound N Parameter Estimate Function Constraint Constraint 1 X1 3.480000 0 0 1E300 2 X2 0.276000 0 0 1E300 3 X3 0.118000 0 -1E300 1E300 4 X4 0.012500 0 -1E300 1E300 5 X5 0.151000 0 0 1E300 6 X6 0.011250 0 -1E300 1E300 7 X7 0.310000 0 -1.000000 1.000000 8 X8 0.000000100 0 1E-9 1E300 9 X9 0.000000100 0 1E-9 1E300 10 X10 0.000000100 0 1E-9 1E300 11 X11 0.000000100 0 . . 12 X12 0.000000100 0 . . Value of Objective Function = -9268645.133 The SAS System 07:46 Monday, October 16, 2017 7540 Dual Quasi-Newton Optimization Minimum Iterations 0 Maximum Iterations 2000 Maximum Function Calls 5000 ABSGCONV Gradient Criterion 0.00001 GCONV Gradient Criterion 1E-8 ABSFCONV Function Criterion 0 FCONV Function Criterion 2.220446E-16 FCONV2 Function Criterion 0 FSIZE Parameter 0 ABSXCONV Parameter Change Criterion 0 XCONV Parameter Change Criterion 0 XSIZE Parameter 0 ABSCONV Function Criterion 1.340781E154 Line Search Method 2 Starting Alpha for Line Search 1 Line Search Precision LSPRECISION 0.4 DAMPSTEP Parameter for Line Search . MAXSTEP Parameter for Line Search 0 FD Derivatives: Accurate Digits in Obj.F 15.653559775 Singularity Tolerance (SINGULAR) 1E-8 Constraint Precision (LCEPS) 1E-8 Linearly Dependent Constraints (LCSING) 1E-8 Releasing Active Constraints (LCDEACT) . Dual Quasi-Newton Optimization Dual Broyden - Fletcher - Goldfarb - Shanno Update (DBFGS) Gradient Computed by Finite Differences Parameter Estimates 12 Lower Bounds 10 Upper Bounds 10 Optimization Start Active Constraints 0 Objective Function -9268645.133 Max Abs Gradient Element 0 Optimization Results Iterations 0 Function Calls 2 Gradient Calls 2 Active Constraints 0 Objective Function -9268645.133 Max Abs Gradient Element 0 Slope of Search Direction 0 ABSGCONV convergence criterion satisfied. The SAS System 07:46 Monday, October 16, 2017 7541 Optimization Results Parameter Estimates Gradient Objective N Parameter Estimate Function 1 X1 3.480000 0 2 X2 0.276000 0 3 X3 0.118000 0 4 X4 0.012500 0 5 X5 0.151000 0 6 X6 0.011250 0 7 X7 0.310000 0 8 X8 0.000000100 0 9 X9 0.000000100 0 10 X10 0.000000100 0 11 X11 0.000000100 0 12 X12 0.000000100 0 Value of Objective Function = -9268645.133 The SAS System 07:46 Monday, October 16, 2017 7542 Optimization Start Parameter Estimates Gradient Lower Upper Objective Bound Bound N Parameter Estimate Function Constraint Constraint 1 X1 3.480000 0 0 1E300 2 X2 0.276000 0 0 1E300 3 X3 0.158000 0 -1E300 1E300 4 X4 -0.022500 0 -1E300 1E300 5 X5 0.001000 0 0 1E300 6 X6 0.001250 0 -1E300 1E300 7 X7 0.290000 0 -1.000000 1.000000 8 X8 0.000000100 0 1E-9 1E300 9 X9 0.000000100 0 1E-9 1E300 10 X10 0.000000100 0 1E-9 1E300 11 X11 0.000000100 0 . . 12 X12 0.000000100 0 . . Value of Objective Function = -9268645.22 The SAS System 07:46 Monday, October 16, 2017 7543 Dual Quasi-Newton Optimization Minimum Iterations 0 Maximum Iterations 2000 Maximum Function Calls 5000 ABSGCONV Gradient Criterion 0.00001 GCONV Gradient Criterion 1E-8 ABSFCONV Function Criterion 0 FCONV Function Criterion 2.220446E-16 FCONV2 Function Criterion 0 FSIZE Parameter 0 ABSXCONV Parameter Change Criterion 0 XCONV Parameter Change Criterion 0 XSIZE Parameter 0 ABSCONV Function Criterion 1.340781E154 Line Search Method 2 Starting Alpha for Line Search 1 Line Search Precision LSPRECISION 0.4 DAMPSTEP Parameter for Line Search . MAXSTEP Parameter for Line Search 0 FD Derivatives: Accurate Digits in Obj.F 15.653559775 Singularity Tolerance (SINGULAR) 1E-8 Constraint Precision (LCEPS) 1E-8 Linearly Dependent Constraints (LCSING) 1E-8 Releasing Active Constraints (LCDEACT) . Dual Quasi-Newton Optimization Dual Broyden - Fletcher - Goldfarb - Shanno Update (DBFGS) Gradient Computed by Finite Differences Parameter Estimates 12 Lower Bounds 10 Upper Bounds 10 Optimization Start Active Constraints 0 Objective Function -9268645.22 Max Abs Gradient Element 0 Optimization Results Iterations 0 Function Calls 2 Gradient Calls 2 Active Constraints 0 Objective Function -9268645.22 Max Abs Gradient Element 0 Slope of Search Direction 0 ABSGCONV convergence criterion satisfied. The SAS System 07:46 Monday, October 16, 2017 7544 Optimization Results Parameter Estimates Gradient Objective N Parameter Estimate Function 1 X1 3.480000 0 2 X2 0.276000 0 3 X3 0.158000 0 4 X4 -0.022500 0 5 X5 0.001000 0 6 X6 0.001250 0 7 X7 0.290000 0 8 X8 0.000000100 0 9 X9 0.000000100 0 10 X10 0.000000100 0 11 X11 0.000000100 0 12 X12 0.000000100 0 Value of Objective Function = -9268645.22 The SAS System 07:46 Monday, October 16, 2017 7545 Optimization Start Parameter Estimates Gradient Lower Upper Objective Bound Bound N Parameter Estimate Function Constraint Constraint 1 X1 3.480000 0 0 1E300 2 X2 0.276000 0 0 1E300 3 X3 0.158000 0 -1E300 1E300 4 X4 -0.022500 0 -1E300 1E300 5 X5 0.001000 0 0 1E300 6 X6 0.001250 0 -1E300 1E300 7 X7 0.310000 0 -1.000000 1.000000 8 X8 0.000000100 0 1E-9 1E300 9 X9 0.000000100 0 1E-9 1E300 10 X10 0.000000100 0 1E-9 1E300 11 X11 0.000000100 0 . . 12 X12 0.000000100 0 . . Value of Objective Function = -9268645.22 The SAS System 07:46 Monday, October 16, 2017 7546 Dual Quasi-Newton Optimization Minimum Iterations 0 Maximum Iterations 2000 Maximum Function Calls 5000 ABSGCONV Gradient Criterion 0.00001 GCONV Gradient Criterion 1E-8 ABSFCONV Function Criterion 0 FCONV Function Criterion 2.220446E-16 FCONV2 Function Criterion 0 FSIZE Parameter 0 ABSXCONV Parameter Change Criterion 0 XCONV Parameter Change Criterion 0 XSIZE Parameter 0 ABSCONV Function Criterion 1.340781E154 Line Search Method 2 Starting Alpha for Line Search 1 Line Search Precision LSPRECISION 0.4 DAMPSTEP Parameter for Line Search . MAXSTEP Parameter for Line Search 0 FD Derivatives: Accurate Digits in Obj.F 15.653559775 Singularity Tolerance (SINGULAR) 1E-8 Constraint Precision (LCEPS) 1E-8 Linearly Dependent Constraints (LCSING) 1E-8 Releasing Active Constraints (LCDEACT) . Dual Quasi-Newton Optimization Dual Broyden - Fletcher - Goldfarb - Shanno Update (DBFGS) Gradient Computed by Finite Differences Parameter Estimates 12 Lower Bounds 10 Upper Bounds 10 Optimization Start Active Constraints 0 Objective Function -9268645.22 Max Abs Gradient Element 0 Optimization Results Iterations 0 Function Calls 2 Gradient Calls 2 Active Constraints 0 Objective Function -9268645.22 Max Abs Gradient Element 0 Slope of Search Direction 0 ABSGCONV convergence criterion satisfied. The SAS System 07:46 Monday, October 16, 2017 7547 Optimization Results Parameter Estimates Gradient Objective N Parameter Estimate Function 1 X1 3.480000 0 2 X2 0.276000 0 3 X3 0.158000 0 4 X4 -0.022500 0 5 X5 0.001000 0 6 X6 0.001250 0 7 X7 0.310000 0 8 X8 0.000000100 0 9 X9 0.000000100 0 10 X10 0.000000100 0 11 X11 0.000000100 0 12 X12 0.000000100 0 Value of Objective Function = -9268645.22 The SAS System 07:46 Monday, October 16, 2017 7548 Optimization Start Parameter Estimates Gradient Lower Upper Objective Bound Bound N Parameter Estimate Function Constraint Constraint 1 X1 3.480000 0 0 1E300 2 X2 0.276000 0 0 1E300 3 X3 0.158000 0 -1E300 1E300 4 X4 -0.022500 0 -1E300 1E300 5 X5 0.001000 0 0 1E300 6 X6 0.011250 0 -1E300 1E300 7 X7 0.290000 0 -1.000000 1.000000 8 X8 0.000000100 0 1E-9 1E300 9 X9 0.000000100 0 1E-9 1E300 10 X10 0.000000100 0 1E-9 1E300 11 X11 0.000000100 0 . . 12 X12 0.000000100 0 . . Value of Objective Function = -9268645.176 The SAS System 07:46 Monday, October 16, 2017 7549 Dual Quasi-Newton Optimization Minimum Iterations 0 Maximum Iterations 2000 Maximum Function Calls 5000 ABSGCONV Gradient Criterion 0.00001 GCONV Gradient Criterion 1E-8 ABSFCONV Function Criterion 0 FCONV Function Criterion 2.220446E-16 FCONV2 Function Criterion 0 FSIZE Parameter 0 ABSXCONV Parameter Change Criterion 0 XCONV Parameter Change Criterion 0 XSIZE Parameter 0 ABSCONV Function Criterion 1.340781E154 Line Search Method 2 Starting Alpha for Line Search 1 Line Search Precision LSPRECISION 0.4 DAMPSTEP Parameter for Line Search . MAXSTEP Parameter for Line Search 0 FD Derivatives: Accurate Digits in Obj.F 15.653559775 Singularity Tolerance (SINGULAR) 1E-8 Constraint Precision (LCEPS) 1E-8 Linearly Dependent Constraints (LCSING) 1E-8 Releasing Active Constraints (LCDEACT) . Dual Quasi-Newton Optimization Dual Broyden - Fletcher - Goldfarb - Shanno Update (DBFGS) Gradient Computed by Finite Differences Parameter Estimates 12 Lower Bounds 10 Upper Bounds 10 Optimization Start Active Constraints 0 Objective Function -9268645.176 Max Abs Gradient Element 0 Optimization Results Iterations 0 Function Calls 2 Gradient Calls 2 Active Constraints 0 Objective Function -9268645.176 Max Abs Gradient Element 0 Slope of Search Direction 0 ABSGCONV convergence criterion satisfied. The SAS System 07:46 Monday, October 16, 2017 7550 Optimization Results Parameter Estimates Gradient Objective N Parameter Estimate Function 1 X1 3.480000 0 2 X2 0.276000 0 3 X3 0.158000 0 4 X4 -0.022500 0 5 X5 0.001000 0 6 X6 0.011250 0 7 X7 0.290000 0 8 X8 0.000000100 0 9 X9 0.000000100 0 10 X10 0.000000100 0 11 X11 0.000000100 0 12 X12 0.000000100 0 Value of Objective Function = -9268645.176 The SAS System 07:46 Monday, October 16, 2017 7551 Optimization Start Parameter Estimates Gradient Lower Upper Objective Bound Bound N Parameter Estimate Function Constraint Constraint 1 X1 3.480000 0 0 1E300 2 X2 0.276000 0 0 1E300 3 X3 0.158000 0 -1E300 1E300 4 X4 -0.022500 0 -1E300 1E300 5 X5 0.001000 0 0 1E300 6 X6 0.011250 0 -1E300 1E300 7 X7 0.310000 0 -1.000000 1.000000 8 X8 0.000000100 0 1E-9 1E300 9 X9 0.000000100 0 1E-9 1E300 10 X10 0.000000100 0 1E-9 1E300 11 X11 0.000000100 0 . . 12 X12 0.000000100 0 . . Value of Objective Function = -9268645.176 The SAS System 07:46 Monday, October 16, 2017 7552 Dual Quasi-Newton Optimization Minimum Iterations 0 Maximum Iterations 2000 Maximum Function Calls 5000 ABSGCONV Gradient Criterion 0.00001 GCONV Gradient Criterion 1E-8 ABSFCONV Function Criterion 0 FCONV Function Criterion 2.220446E-16 FCONV2 Function Criterion 0 FSIZE Parameter 0 ABSXCONV Parameter Change Criterion 0 XCONV Parameter Change Criterion 0 XSIZE Parameter 0 ABSCONV Function Criterion 1.340781E154 Line Search Method 2 Starting Alpha for Line Search 1 Line Search Precision LSPRECISION 0.4 DAMPSTEP Parameter for Line Search . MAXSTEP Parameter for Line Search 0 FD Derivatives: Accurate Digits in Obj.F 15.653559775 Singularity Tolerance (SINGULAR) 1E-8 Constraint Precision (LCEPS) 1E-8 Linearly Dependent Constraints (LCSING) 1E-8 Releasing Active Constraints (LCDEACT) . Dual Quasi-Newton Optimization Dual Broyden - Fletcher - Goldfarb - Shanno Update (DBFGS) Gradient Computed by Finite Differences Parameter Estimates 12 Lower Bounds 10 Upper Bounds 10 Optimization Start Active Constraints 0 Objective Function -9268645.176 Max Abs Gradient Element 0 Optimization Results Iterations 0 Function Calls 2 Gradient Calls 2 Active Constraints 0 Objective Function -9268645.176 Max Abs Gradient Element 0 Slope of Search Direction 0 ABSGCONV convergence criterion satisfied. The SAS System 07:46 Monday, October 16, 2017 7553 Optimization Results Parameter Estimates Gradient Objective N Parameter Estimate Function 1 X1 3.480000 0 2 X2 0.276000 0 3 X3 0.158000 0 4 X4 -0.022500 0 5 X5 0.001000 0 6 X6 0.011250 0 7 X7 0.310000 0 8 X8 0.000000100 0 9 X9 0.000000100 0 10 X10 0.000000100 0 11 X11 0.000000100 0 12 X12 0.000000100 0 Value of Objective Function = -9268645.176 The SAS System 07:46 Monday, October 16, 2017 7554 Optimization Start Parameter Estimates Gradient Lower Upper Objective Bound Bound N Parameter Estimate Function Constraint Constraint 1 X1 3.480000 0 0 1E300 2 X2 0.276000 0 0 1E300 3 X3 0.158000 0 -1E300 1E300 4 X4 -0.022500 0 -1E300 1E300 5 X5 0.051000 0 0 1E300 6 X6 0.001250 0 -1E300 1E300 7 X7 0.290000 0 -1.000000 1.000000 8 X8 0.000000100 0 1E-9 1E300 9 X9 0.000000100 0 1E-9 1E300 10 X10 0.000000100 0 1E-9 1E300 11 X11 0.000000100 0 . . 12 X12 0.000000100 0 . . Value of Objective Function = -9268645.209 The SAS System 07:46 Monday, October 16, 2017 7555 Dual Quasi-Newton Optimization Minimum Iterations 0 Maximum Iterations 2000 Maximum Function Calls 5000 ABSGCONV Gradient Criterion 0.00001 GCONV Gradient Criterion 1E-8 ABSFCONV Function Criterion 0 FCONV Function Criterion 2.220446E-16 FCONV2 Function Criterion 0 FSIZE Parameter 0 ABSXCONV Parameter Change Criterion 0 XCONV Parameter Change Criterion 0 XSIZE Parameter 0 ABSCONV Function Criterion 1.340781E154 Line Search Method 2 Starting Alpha for Line Search 1 Line Search Precision LSPRECISION 0.4 DAMPSTEP Parameter for Line Search . MAXSTEP Parameter for Line Search 0 FD Derivatives: Accurate Digits in Obj.F 15.653559775 Singularity Tolerance (SINGULAR) 1E-8 Constraint Precision (LCEPS) 1E-8 Linearly Dependent Constraints (LCSING) 1E-8 Releasing Active Constraints (LCDEACT) . Dual Quasi-Newton Optimization Dual Broyden - Fletcher - Goldfarb - Shanno Update (DBFGS) Gradient Computed by Finite Differences Parameter Estimates 12 Lower Bounds 10 Upper Bounds 10 Optimization Start Active Constraints 0 Objective Function -9268645.209 Max Abs Gradient Element 0 Optimization Results Iterations 0 Function Calls 2 Gradient Calls 2 Active Constraints 0 Objective Function -9268645.209 Max Abs Gradient Element 0 Slope of Search Direction 0 ABSGCONV convergence criterion satisfied. The SAS System 07:46 Monday, October 16, 2017 7556 Optimization Results Parameter Estimates Gradient Objective N Parameter Estimate Function 1 X1 3.480000 0 2 X2 0.276000 0 3 X3 0.158000 0 4 X4 -0.022500 0 5 X5 0.051000 0 6 X6 0.001250 0 7 X7 0.290000 0 8 X8 0.000000100 0 9 X9 0.000000100 0 10 X10 0.000000100 0 11 X11 0.000000100 0 12 X12 0.000000100 0 Value of Objective Function = -9268645.209 The SAS System 07:46 Monday, October 16, 2017 7557 Optimization Start Parameter Estimates Gradient Lower Upper Objective Bound Bound N Parameter Estimate Function Constraint Constraint 1 X1 3.480000 0 0 1E300 2 X2 0.276000 0 0 1E300 3 X3 0.158000 0 -1E300 1E300 4 X4 -0.022500 0 -1E300 1E300 5 X5 0.051000 0 0 1E300 6 X6 0.001250 0 -1E300 1E300 7 X7 0.310000 0 -1.000000 1.000000 8 X8 0.000000100 0 1E-9 1E300 9 X9 0.000000100 0 1E-9 1E300 10 X10 0.000000100 0 1E-9 1E300 11 X11 0.000000100 0 . . 12 X12 0.000000100 0 . . Value of Objective Function = -9268645.208 The SAS System 07:46 Monday, October 16, 2017 7558 Dual Quasi-Newton Optimization Minimum Iterations 0 Maximum Iterations 2000 Maximum Function Calls 5000 ABSGCONV Gradient Criterion 0.00001 GCONV Gradient Criterion 1E-8 ABSFCONV Function Criterion 0 FCONV Function Criterion 2.220446E-16 FCONV2 Function Criterion 0 FSIZE Parameter 0 ABSXCONV Parameter Change Criterion 0 XCONV Parameter Change Criterion 0 XSIZE Parameter 0 ABSCONV Function Criterion 1.340781E154 Line Search Method 2 Starting Alpha for Line Search 1 Line Search Precision LSPRECISION 0.4 DAMPSTEP Parameter for Line Search . MAXSTEP Parameter for Line Search 0 FD Derivatives: Accurate Digits in Obj.F 15.653559775 Singularity Tolerance (SINGULAR) 1E-8 Constraint Precision (LCEPS) 1E-8 Linearly Dependent Constraints (LCSING) 1E-8 Releasing Active Constraints (LCDEACT) . Dual Quasi-Newton Optimization Dual Broyden - Fletcher - Goldfarb - Shanno Update (DBFGS) Gradient Computed by Finite Differences Parameter Estimates 12 Lower Bounds 10 Upper Bounds 10 Optimization Start Active Constraints 0 Objective Function -9268645.208 Max Abs Gradient Element 0 Optimization Results Iterations 0 Function Calls 2 Gradient Calls 2 Active Constraints 0 Objective Function -9268645.208 Max Abs Gradient Element 0 Slope of Search Direction 0 ABSGCONV convergence criterion satisfied. The SAS System 07:46 Monday, October 16, 2017 7559 Optimization Results Parameter Estimates Gradient Objective N Parameter Estimate Function 1 X1 3.480000 0 2 X2 0.276000 0 3 X3 0.158000 0 4 X4 -0.022500 0 5 X5 0.051000 0 6 X6 0.001250 0 7 X7 0.310000 0 8 X8 0.000000100 0 9 X9 0.000000100 0 10 X10 0.000000100 0 11 X11 0.000000100 0 12 X12 0.000000100 0 Value of Objective Function = -9268645.208 The SAS System 07:46 Monday, October 16, 2017 7560 Optimization Start Parameter Estimates Gradient Lower Upper Objective Bound Bound N Parameter Estimate Function Constraint Constraint 1 X1 3.480000 0 0 1E300 2 X2 0.276000 0 0 1E300 3 X3 0.158000 0 -1E300 1E300 4 X4 -0.022500 0 -1E300 1E300 5 X5 0.051000 0 0 1E300 6 X6 0.011250 0 -1E300 1E300 7 X7 0.290000 0 -1.000000 1.000000 8 X8 0.000000100 0 1E-9 1E300 9 X9 0.000000100 0 1E-9 1E300 10 X10 0.000000100 0 1E-9 1E300 11 X11 0.000000100 0 . . 12 X12 0.000000100 0 . . Value of Objective Function = -9268645.169 The SAS System 07:46 Monday, October 16, 2017 7561 Dual Quasi-Newton Optimization Minimum Iterations 0 Maximum Iterations 2000 Maximum Function Calls 5000 ABSGCONV Gradient Criterion 0.00001 GCONV Gradient Criterion 1E-8 ABSFCONV Function Criterion 0 FCONV Function Criterion 2.220446E-16 FCONV2 Function Criterion 0 FSIZE Parameter 0 ABSXCONV Parameter Change Criterion 0 XCONV Parameter Change Criterion 0 XSIZE Parameter 0 ABSCONV Function Criterion 1.340781E154 Line Search Method 2 Starting Alpha for Line Search 1 Line Search Precision LSPRECISION 0.4 DAMPSTEP Parameter for Line Search . MAXSTEP Parameter for Line Search 0 FD Derivatives: Accurate Digits in Obj.F 15.653559775 Singularity Tolerance (SINGULAR) 1E-8 Constraint Precision (LCEPS) 1E-8 Linearly Dependent Constraints (LCSING) 1E-8 Releasing Active Constraints (LCDEACT) . Dual Quasi-Newton Optimization Dual Broyden - Fletcher - Goldfarb - Shanno Update (DBFGS) Gradient Computed by Finite Differences Parameter Estimates 12 Lower Bounds 10 Upper Bounds 10 Optimization Start Active Constraints 0 Objective Function -9268645.169 Max Abs Gradient Element 0 Optimization Results Iterations 0 Function Calls 2 Gradient Calls 2 Active Constraints 0 Objective Function -9268645.169 Max Abs Gradient Element 0 Slope of Search Direction 0 ABSGCONV convergence criterion satisfied. The SAS System 07:46 Monday, October 16, 2017 7562 Optimization Results Parameter Estimates Gradient Objective N Parameter Estimate Function 1 X1 3.480000 0 2 X2 0.276000 0 3 X3 0.158000 0 4 X4 -0.022500 0 5 X5 0.051000 0 6 X6 0.011250 0 7 X7 0.290000 0 8 X8 0.000000100 0 9 X9 0.000000100 0 10 X10 0.000000100 0 11 X11 0.000000100 0 12 X12 0.000000100 0 Value of Objective Function = -9268645.169 The SAS System 07:46 Monday, October 16, 2017 7563 Optimization Start Parameter Estimates Gradient Lower Upper Objective Bound Bound N Parameter Estimate Function Constraint Constraint 1 X1 3.480000 0 0 1E300 2 X2 0.276000 0 0 1E300 3 X3 0.158000 0 -1E300 1E300 4 X4 -0.022500 0 -1E300 1E300 5 X5 0.051000 0 0 1E300 6 X6 0.011250 0 -1E300 1E300 7 X7 0.310000 0 -1.000000 1.000000 8 X8 0.000000100 0 1E-9 1E300 9 X9 0.000000100 0 1E-9 1E300 10 X10 0.000000100 0 1E-9 1E300 11 X11 0.000000100 0 . . 12 X12 0.000000100 0 . . Value of Objective Function = -9268645.169 The SAS System 07:46 Monday, October 16, 2017 7564 Dual Quasi-Newton Optimization Minimum Iterations 0 Maximum Iterations 2000 Maximum Function Calls 5000 ABSGCONV Gradient Criterion 0.00001 GCONV Gradient Criterion 1E-8 ABSFCONV Function Criterion 0 FCONV Function Criterion 2.220446E-16 FCONV2 Function Criterion 0 FSIZE Parameter 0 ABSXCONV Parameter Change Criterion 0 XCONV Parameter Change Criterion 0 XSIZE Parameter 0 ABSCONV Function Criterion 1.340781E154 Line Search Method 2 Starting Alpha for Line Search 1 Line Search Precision LSPRECISION 0.4 DAMPSTEP Parameter for Line Search . MAXSTEP Parameter for Line Search 0 FD Derivatives: Accurate Digits in Obj.F 15.653559775 Singularity Tolerance (SINGULAR) 1E-8 Constraint Precision (LCEPS) 1E-8 Linearly Dependent Constraints (LCSING) 1E-8 Releasing Active Constraints (LCDEACT) . Dual Quasi-Newton Optimization Dual Broyden - Fletcher - Goldfarb - Shanno Update (DBFGS) Gradient Computed by Finite Differences Parameter Estimates 12 Lower Bounds 10 Upper Bounds 10 Optimization Start Active Constraints 0 Objective Function -9268645.169 Max Abs Gradient Element 0 Optimization Results Iterations 0 Function Calls 2 Gradient Calls 2 Active Constraints 0 Objective Function -9268645.169 Max Abs Gradient Element 0 Slope of Search Direction 0 ABSGCONV convergence criterion satisfied. The SAS System 07:46 Monday, October 16, 2017 7565 Optimization Results Parameter Estimates Gradient Objective N Parameter Estimate Function 1 X1 3.480000 0 2 X2 0.276000 0 3 X3 0.158000 0 4 X4 -0.022500 0 5 X5 0.051000 0 6 X6 0.011250 0 7 X7 0.310000 0 8 X8 0.000000100 0 9 X9 0.000000100 0 10 X10 0.000000100 0 11 X11 0.000000100 0 12 X12 0.000000100 0 Value of Objective Function = -9268645.169 The SAS System 07:46 Monday, October 16, 2017 7566 Optimization Start Parameter Estimates Gradient Lower Upper Objective Bound Bound N Parameter Estimate Function Constraint Constraint 1 X1 3.480000 0 0 1E300 2 X2 0.276000 0 0 1E300 3 X3 0.158000 0 -1E300 1E300 4 X4 -0.022500 0 -1E300 1E300 5 X5 0.101000 0 0 1E300 6 X6 0.001250 0 -1E300 1E300 7 X7 0.290000 0 -1.000000 1.000000 8 X8 0.000000100 0 1E-9 1E300 9 X9 0.000000100 0 1E-9 1E300 10 X10 0.000000100 0 1E-9 1E300 11 X11 0.000000100 0 . . 12 X12 0.000000100 0 . . Value of Objective Function = -9268645.188 The SAS System 07:46 Monday, October 16, 2017 7567 Dual Quasi-Newton Optimization Minimum Iterations 0 Maximum Iterations 2000 Maximum Function Calls 5000 ABSGCONV Gradient Criterion 0.00001 GCONV Gradient Criterion 1E-8 ABSFCONV Function Criterion 0 FCONV Function Criterion 2.220446E-16 FCONV2 Function Criterion 0 FSIZE Parameter 0 ABSXCONV Parameter Change Criterion 0 XCONV Parameter Change Criterion 0 XSIZE Parameter 0 ABSCONV Function Criterion 1.340781E154 Line Search Method 2 Starting Alpha for Line Search 1 Line Search Precision LSPRECISION 0.4 DAMPSTEP Parameter for Line Search . MAXSTEP Parameter for Line Search 0 FD Derivatives: Accurate Digits in Obj.F 15.653559775 Singularity Tolerance (SINGULAR) 1E-8 Constraint Precision (LCEPS) 1E-8 Linearly Dependent Constraints (LCSING) 1E-8 Releasing Active Constraints (LCDEACT) . Dual Quasi-Newton Optimization Dual Broyden - Fletcher - Goldfarb - Shanno Update (DBFGS) Gradient Computed by Finite Differences Parameter Estimates 12 Lower Bounds 10 Upper Bounds 10 Optimization Start Active Constraints 0 Objective Function -9268645.188 Max Abs Gradient Element 0 Optimization Results Iterations 0 Function Calls 2 Gradient Calls 2 Active Constraints 0 Objective Function -9268645.188 Max Abs Gradient Element 0 Slope of Search Direction 0 ABSGCONV convergence criterion satisfied. The SAS System 07:46 Monday, October 16, 2017 7568 Optimization Results Parameter Estimates Gradient Objective N Parameter Estimate Function 1 X1 3.480000 0 2 X2 0.276000 0 3 X3 0.158000 0 4 X4 -0.022500 0 5 X5 0.101000 0 6 X6 0.001250 0 7 X7 0.290000 0 8 X8 0.000000100 0 9 X9 0.000000100 0 10 X10 0.000000100 0 11 X11 0.000000100 0 12 X12 0.000000100 0 Value of Objective Function = -9268645.188 The SAS System 07:46 Monday, October 16, 2017 7569 Optimization Start Parameter Estimates Gradient Lower Upper Objective Bound Bound N Parameter Estimate Function Constraint Constraint 1 X1 3.480000 0 0 1E300 2 X2 0.276000 0 0 1E300 3 X3 0.158000 0 -1E300 1E300 4 X4 -0.022500 0 -1E300 1E300 5 X5 0.101000 0 0 1E300 6 X6 0.001250 0 -1E300 1E300 7 X7 0.310000 0 -1.000000 1.000000 8 X8 0.000000100 0 1E-9 1E300 9 X9 0.000000100 0 1E-9 1E300 10 X10 0.000000100 0 1E-9 1E300 11 X11 0.000000100 0 . . 12 X12 0.000000100 0 . . Value of Objective Function = -9268645.187 The SAS System 07:46 Monday, October 16, 2017 7570 Dual Quasi-Newton Optimization Minimum Iterations 0 Maximum Iterations 2000 Maximum Function Calls 5000 ABSGCONV Gradient Criterion 0.00001 GCONV Gradient Criterion 1E-8 ABSFCONV Function Criterion 0 FCONV Function Criterion 2.220446E-16 FCONV2 Function Criterion 0 FSIZE Parameter 0 ABSXCONV Parameter Change Criterion 0 XCONV Parameter Change Criterion 0 XSIZE Parameter 0 ABSCONV Function Criterion 1.340781E154 Line Search Method 2 Starting Alpha for Line Search 1 Line Search Precision LSPRECISION 0.4 DAMPSTEP Parameter for Line Search . MAXSTEP Parameter for Line Search 0 FD Derivatives: Accurate Digits in Obj.F 15.653559775 Singularity Tolerance (SINGULAR) 1E-8 Constraint Precision (LCEPS) 1E-8 Linearly Dependent Constraints (LCSING) 1E-8 Releasing Active Constraints (LCDEACT) . Dual Quasi-Newton Optimization Dual Broyden - Fletcher - Goldfarb - Shanno Update (DBFGS) Gradient Computed by Finite Differences Parameter Estimates 12 Lower Bounds 10 Upper Bounds 10 Optimization Start Active Constraints 0 Objective Function -9268645.187 Max Abs Gradient Element 0 Optimization Results Iterations 0 Function Calls 2 Gradient Calls 2 Active Constraints 0 Objective Function -9268645.187 Max Abs Gradient Element 0 Slope of Search Direction 0 ABSGCONV convergence criterion satisfied. The SAS System 07:46 Monday, October 16, 2017 7571 Optimization Results Parameter Estimates Gradient Objective N Parameter Estimate Function 1 X1 3.480000 0 2 X2 0.276000 0 3 X3 0.158000 0 4 X4 -0.022500 0 5 X5 0.101000 0 6 X6 0.001250 0 7 X7 0.310000 0 8 X8 0.000000100 0 9 X9 0.000000100 0 10 X10 0.000000100 0 11 X11 0.000000100 0 12 X12 0.000000100 0 Value of Objective Function = -9268645.187 The SAS System 07:46 Monday, October 16, 2017 7572 Optimization Start Parameter Estimates Gradient Lower Upper Objective Bound Bound N Parameter Estimate Function Constraint Constraint 1 X1 3.480000 0 0 1E300 2 X2 0.276000 0 0 1E300 3 X3 0.158000 0 -1E300 1E300 4 X4 -0.022500 0 -1E300 1E300 5 X5 0.101000 0 0 1E300 6 X6 0.011250 0 -1E300 1E300 7 X7 0.290000 0 -1.000000 1.000000 8 X8 0.000000100 0 1E-9 1E300 9 X9 0.000000100 0 1E-9 1E300 10 X10 0.000000100 0 1E-9 1E300 11 X11 0.000000100 0 . . 12 X12 0.000000100 0 . . Value of Objective Function = -9268645.155 The SAS System 07:46 Monday, October 16, 2017 7573 Dual Quasi-Newton Optimization Minimum Iterations 0 Maximum Iterations 2000 Maximum Function Calls 5000 ABSGCONV Gradient Criterion 0.00001 GCONV Gradient Criterion 1E-8 ABSFCONV Function Criterion 0 FCONV Function Criterion 2.220446E-16 FCONV2 Function Criterion 0 FSIZE Parameter 0 ABSXCONV Parameter Change Criterion 0 XCONV Parameter Change Criterion 0 XSIZE Parameter 0 ABSCONV Function Criterion 1.340781E154 Line Search Method 2 Starting Alpha for Line Search 1 Line Search Precision LSPRECISION 0.4 DAMPSTEP Parameter for Line Search . MAXSTEP Parameter for Line Search 0 FD Derivatives: Accurate Digits in Obj.F 15.653559775 Singularity Tolerance (SINGULAR) 1E-8 Constraint Precision (LCEPS) 1E-8 Linearly Dependent Constraints (LCSING) 1E-8 Releasing Active Constraints (LCDEACT) . Dual Quasi-Newton Optimization Dual Broyden - Fletcher - Goldfarb - Shanno Update (DBFGS) Gradient Computed by Finite Differences Parameter Estimates 12 Lower Bounds 10 Upper Bounds 10 Optimization Start Active Constraints 0 Objective Function -9268645.155 Max Abs Gradient Element 0 Optimization Results Iterations 0 Function Calls 2 Gradient Calls 2 Active Constraints 0 Objective Function -9268645.155 Max Abs Gradient Element 0 Slope of Search Direction 0 ABSGCONV convergence criterion satisfied. The SAS System 07:46 Monday, October 16, 2017 7574 Optimization Results Parameter Estimates Gradient Objective N Parameter Estimate Function 1 X1 3.480000 0 2 X2 0.276000 0 3 X3 0.158000 0 4 X4 -0.022500 0 5 X5 0.101000 0 6 X6 0.011250 0 7 X7 0.290000 0 8 X8 0.000000100 0 9 X9 0.000000100 0 10 X10 0.000000100 0 11 X11 0.000000100 0 12 X12 0.000000100 0 Value of Objective Function = -9268645.155 The SAS System 07:46 Monday, October 16, 2017 7575 Optimization Start Parameter Estimates Gradient Lower Upper Objective Bound Bound N Parameter Estimate Function Constraint Constraint 1 X1 3.480000 0 0 1E300 2 X2 0.276000 0 0 1E300 3 X3 0.158000 0 -1E300 1E300 4 X4 -0.022500 0 -1E300 1E300 5 X5 0.101000 0 0 1E300 6 X6 0.011250 0 -1E300 1E300 7 X7 0.310000 0 -1.000000 1.000000 8 X8 0.000000100 0 1E-9 1E300 9 X9 0.000000100 0 1E-9 1E300 10 X10 0.000000100 0 1E-9 1E300 11 X11 0.000000100 0 . . 12 X12 0.000000100 0 . . Value of Objective Function = -9268645.155 The SAS System 07:46 Monday, October 16, 2017 7576 Dual Quasi-Newton Optimization Minimum Iterations 0 Maximum Iterations 2000 Maximum Function Calls 5000 ABSGCONV Gradient Criterion 0.00001 GCONV Gradient Criterion 1E-8 ABSFCONV Function Criterion 0 FCONV Function Criterion 2.220446E-16 FCONV2 Function Criterion 0 FSIZE Parameter 0 ABSXCONV Parameter Change Criterion 0 XCONV Parameter Change Criterion 0 XSIZE Parameter 0 ABSCONV Function Criterion 1.340781E154 Line Search Method 2 Starting Alpha for Line Search 1 Line Search Precision LSPRECISION 0.4 DAMPSTEP Parameter for Line Search . MAXSTEP Parameter for Line Search 0 FD Derivatives: Accurate Digits in Obj.F 15.653559775 Singularity Tolerance (SINGULAR) 1E-8 Constraint Precision (LCEPS) 1E-8 Linearly Dependent Constraints (LCSING) 1E-8 Releasing Active Constraints (LCDEACT) . Dual Quasi-Newton Optimization Dual Broyden - Fletcher - Goldfarb - Shanno Update (DBFGS) Gradient Computed by Finite Differences Parameter Estimates 12 Lower Bounds 10 Upper Bounds 10 Optimization Start Active Constraints 0 Objective Function -9268645.155 Max Abs Gradient Element 0 Optimization Results Iterations 0 Function Calls 2 Gradient Calls 2 Active Constraints 0 Objective Function -9268645.155 Max Abs Gradient Element 0 Slope of Search Direction 0 ABSGCONV convergence criterion satisfied. The SAS System 07:46 Monday, October 16, 2017 7577 Optimization Results Parameter Estimates Gradient Objective N Parameter Estimate Function 1 X1 3.480000 0 2 X2 0.276000 0 3 X3 0.158000 0 4 X4 -0.022500 0 5 X5 0.101000 0 6 X6 0.011250 0 7 X7 0.310000 0 8 X8 0.000000100 0 9 X9 0.000000100 0 10 X10 0.000000100 0 11 X11 0.000000100 0 12 X12 0.000000100 0 Value of Objective Function = -9268645.155 The SAS System 07:46 Monday, October 16, 2017 7578 Optimization Start Parameter Estimates Gradient Lower Upper Objective Bound Bound N Parameter Estimate Function Constraint Constraint 1 X1 3.480000 0 0 1E300 2 X2 0.276000 0 0 1E300 3 X3 0.158000 0 -1E300 1E300 4 X4 -0.022500 0 -1E300 1E300 5 X5 0.151000 0 0 1E300 6 X6 0.001250 0 -1E300 1E300 7 X7 0.290000 0 -1.000000 1.000000 8 X8 0.000000100 0 1E-9 1E300 9 X9 0.000000100 0 1E-9 1E300 10 X10 0.000000100 0 1E-9 1E300 11 X11 0.000000100 0 . . 12 X12 0.000000100 0 . . Value of Objective Function = -9268645.163 The SAS System 07:46 Monday, October 16, 2017 7579 Dual Quasi-Newton Optimization Minimum Iterations 0 Maximum Iterations 2000 Maximum Function Calls 5000 ABSGCONV Gradient Criterion 0.00001 GCONV Gradient Criterion 1E-8 ABSFCONV Function Criterion 0 FCONV Function Criterion 2.220446E-16 FCONV2 Function Criterion 0 FSIZE Parameter 0 ABSXCONV Parameter Change Criterion 0 XCONV Parameter Change Criterion 0 XSIZE Parameter 0 ABSCONV Function Criterion 1.340781E154 Line Search Method 2 Starting Alpha for Line Search 1 Line Search Precision LSPRECISION 0.4 DAMPSTEP Parameter for Line Search . MAXSTEP Parameter for Line Search 0 FD Derivatives: Accurate Digits in Obj.F 15.653559775 Singularity Tolerance (SINGULAR) 1E-8 Constraint Precision (LCEPS) 1E-8 Linearly Dependent Constraints (LCSING) 1E-8 Releasing Active Constraints (LCDEACT) . Dual Quasi-Newton Optimization Dual Broyden - Fletcher - Goldfarb - Shanno Update (DBFGS) Gradient Computed by Finite Differences Parameter Estimates 12 Lower Bounds 10 Upper Bounds 10 Optimization Start Active Constraints 0 Objective Function -9268645.163 Max Abs Gradient Element 0 Optimization Results Iterations 0 Function Calls 2 Gradient Calls 2 Active Constraints 0 Objective Function -9268645.163 Max Abs Gradient Element 0 Slope of Search Direction 0 ABSGCONV convergence criterion satisfied. The SAS System 07:46 Monday, October 16, 2017 7580 Optimization Results Parameter Estimates Gradient Objective N Parameter Estimate Function 1 X1 3.480000 0 2 X2 0.276000 0 3 X3 0.158000 0 4 X4 -0.022500 0 5 X5 0.151000 0 6 X6 0.001250 0 7 X7 0.290000 0 8 X8 0.000000100 0 9 X9 0.000000100 0 10 X10 0.000000100 0 11 X11 0.000000100 0 12 X12 0.000000100 0 Value of Objective Function = -9268645.163 The SAS System 07:46 Monday, October 16, 2017 7581 Optimization Start Parameter Estimates Gradient Lower Upper Objective Bound Bound N Parameter Estimate Function Constraint Constraint 1 X1 3.480000 0 0 1E300 2 X2 0.276000 0 0 1E300 3 X3 0.158000 0 -1E300 1E300 4 X4 -0.022500 0 -1E300 1E300 5 X5 0.151000 0 0 1E300 6 X6 0.001250 0 -1E300 1E300 7 X7 0.310000 0 -1.000000 1.000000 8 X8 0.000000100 0 1E-9 1E300 9 X9 0.000000100 0 1E-9 1E300 10 X10 0.000000100 0 1E-9 1E300 11 X11 0.000000100 0 . . 12 X12 0.000000100 0 . . Value of Objective Function = -9268645.162 The SAS System 07:46 Monday, October 16, 2017 7582 Dual Quasi-Newton Optimization Minimum Iterations 0 Maximum Iterations 2000 Maximum Function Calls 5000 ABSGCONV Gradient Criterion 0.00001 GCONV Gradient Criterion 1E-8 ABSFCONV Function Criterion 0 FCONV Function Criterion 2.220446E-16 FCONV2 Function Criterion 0 FSIZE Parameter 0 ABSXCONV Parameter Change Criterion 0 XCONV Parameter Change Criterion 0 XSIZE Parameter 0 ABSCONV Function Criterion 1.340781E154 Line Search Method 2 Starting Alpha for Line Search 1 Line Search Precision LSPRECISION 0.4 DAMPSTEP Parameter for Line Search . MAXSTEP Parameter for Line Search 0 FD Derivatives: Accurate Digits in Obj.F 15.653559775 Singularity Tolerance (SINGULAR) 1E-8 Constraint Precision (LCEPS) 1E-8 Linearly Dependent Constraints (LCSING) 1E-8 Releasing Active Constraints (LCDEACT) . Dual Quasi-Newton Optimization Dual Broyden - Fletcher - Goldfarb - Shanno Update (DBFGS) Gradient Computed by Finite Differences Parameter Estimates 12 Lower Bounds 10 Upper Bounds 10 Optimization Start Active Constraints 0 Objective Function -9268645.162 Max Abs Gradient Element 0 Optimization Results Iterations 0 Function Calls 2 Gradient Calls 2 Active Constraints 0 Objective Function -9268645.162 Max Abs Gradient Element 0 Slope of Search Direction 0 ABSGCONV convergence criterion satisfied. The SAS System 07:46 Monday, October 16, 2017 7583 Optimization Results Parameter Estimates Gradient Objective N Parameter Estimate Function 1 X1 3.480000 0 2 X2 0.276000 0 3 X3 0.158000 0 4 X4 -0.022500 0 5 X5 0.151000 0 6 X6 0.001250 0 7 X7 0.310000 0 8 X8 0.000000100 0 9 X9 0.000000100 0 10 X10 0.000000100 0 11 X11 0.000000100 0 12 X12 0.000000100 0 Value of Objective Function = -9268645.162 The SAS System 07:46 Monday, October 16, 2017 7584 Optimization Start Parameter Estimates Gradient Lower Upper Objective Bound Bound N Parameter Estimate Function Constraint Constraint 1 X1 3.480000 0 0 1E300 2 X2 0.276000 0 0 1E300 3 X3 0.158000 0 -1E300 1E300 4 X4 -0.022500 0 -1E300 1E300 5 X5 0.151000 0 0 1E300 6 X6 0.011250 0 -1E300 1E300 7 X7 0.290000 0 -1.000000 1.000000 8 X8 0.000000100 0 1E-9 1E300 9 X9 0.000000100 0 1E-9 1E300 10 X10 0.000000100 0 1E-9 1E300 11 X11 0.000000100 0 . . 12 X12 0.000000100 0 . . Value of Objective Function = -9268645.141 The SAS System 07:46 Monday, October 16, 2017 7585 Dual Quasi-Newton Optimization Minimum Iterations 0 Maximum Iterations 2000 Maximum Function Calls 5000 ABSGCONV Gradient Criterion 0.00001 GCONV Gradient Criterion 1E-8 ABSFCONV Function Criterion 0 FCONV Function Criterion 2.220446E-16 FCONV2 Function Criterion 0 FSIZE Parameter 0 ABSXCONV Parameter Change Criterion 0 XCONV Parameter Change Criterion 0 XSIZE Parameter 0 ABSCONV Function Criterion 1.340781E154 Line Search Method 2 Starting Alpha for Line Search 1 Line Search Precision LSPRECISION 0.4 DAMPSTEP Parameter for Line Search . MAXSTEP Parameter for Line Search 0 FD Derivatives: Accurate Digits in Obj.F 15.653559775 Singularity Tolerance (SINGULAR) 1E-8 Constraint Precision (LCEPS) 1E-8 Linearly Dependent Constraints (LCSING) 1E-8 Releasing Active Constraints (LCDEACT) . Dual Quasi-Newton Optimization Dual Broyden - Fletcher - Goldfarb - Shanno Update (DBFGS) Gradient Computed by Finite Differences Parameter Estimates 12 Lower Bounds 10 Upper Bounds 10 Optimization Start Active Constraints 0 Objective Function -9268645.141 Max Abs Gradient Element 0 Optimization Results Iterations 0 Function Calls 2 Gradient Calls 2 Active Constraints 0 Objective Function -9268645.141 Max Abs Gradient Element 0 Slope of Search Direction 0 ABSGCONV convergence criterion satisfied. The SAS System 07:46 Monday, October 16, 2017 7586 Optimization Results Parameter Estimates Gradient Objective N Parameter Estimate Function 1 X1 3.480000 0 2 X2 0.276000 0 3 X3 0.158000 0 4 X4 -0.022500 0 5 X5 0.151000 0 6 X6 0.011250 0 7 X7 0.290000 0 8 X8 0.000000100 0 9 X9 0.000000100 0 10 X10 0.000000100 0 11 X11 0.000000100 0 12 X12 0.000000100 0 Value of Objective Function = -9268645.141 The SAS System 07:46 Monday, October 16, 2017 7587 Optimization Start Parameter Estimates Gradient Lower Upper Objective Bound Bound N Parameter Estimate Function Constraint Constraint 1 X1 3.480000 0 0 1E300 2 X2 0.276000 0 0 1E300 3 X3 0.158000 0 -1E300 1E300 4 X4 -0.022500 0 -1E300 1E300 5 X5 0.151000 0 0 1E300 6 X6 0.011250 0 -1E300 1E300 7 X7 0.310000 0 -1.000000 1.000000 8 X8 0.000000100 0 1E-9 1E300 9 X9 0.000000100 0 1E-9 1E300 10 X10 0.000000100 0 1E-9 1E300 11 X11 0.000000100 0 . . 12 X12 0.000000100 0 . . Value of Objective Function = -9268645.141 The SAS System 07:46 Monday, October 16, 2017 7588 Dual Quasi-Newton Optimization Minimum Iterations 0 Maximum Iterations 2000 Maximum Function Calls 5000 ABSGCONV Gradient Criterion 0.00001 GCONV Gradient Criterion 1E-8 ABSFCONV Function Criterion 0 FCONV Function Criterion 2.220446E-16 FCONV2 Function Criterion 0 FSIZE Parameter 0 ABSXCONV Parameter Change Criterion 0 XCONV Parameter Change Criterion 0 XSIZE Parameter 0 ABSCONV Function Criterion 1.340781E154 Line Search Method 2 Starting Alpha for Line Search 1 Line Search Precision LSPRECISION 0.4 DAMPSTEP Parameter for Line Search . MAXSTEP Parameter for Line Search 0 FD Derivatives: Accurate Digits in Obj.F 15.653559775 Singularity Tolerance (SINGULAR) 1E-8 Constraint Precision (LCEPS) 1E-8 Linearly Dependent Constraints (LCSING) 1E-8 Releasing Active Constraints (LCDEACT) . Dual Quasi-Newton Optimization Dual Broyden - Fletcher - Goldfarb - Shanno Update (DBFGS) Gradient Computed by Finite Differences Parameter Estimates 12 Lower Bounds 10 Upper Bounds 10 Optimization Start Active Constraints 0 Objective Function -9268645.141 Max Abs Gradient Element 0 Optimization Results Iterations 0 Function Calls 2 Gradient Calls 2 Active Constraints 0 Objective Function -9268645.141 Max Abs Gradient Element 0 Slope of Search Direction 0 ABSGCONV convergence criterion satisfied. The SAS System 07:46 Monday, October 16, 2017 7589 Optimization Results Parameter Estimates Gradient Objective N Parameter Estimate Function 1 X1 3.480000 0 2 X2 0.276000 0 3 X3 0.158000 0 4 X4 -0.022500 0 5 X5 0.151000 0 6 X6 0.011250 0 7 X7 0.310000 0 8 X8 0.000000100 0 9 X9 0.000000100 0 10 X10 0.000000100 0 11 X11 0.000000100 0 12 X12 0.000000100 0 Value of Objective Function = -9268645.141 The SAS System 07:46 Monday, October 16, 2017 7590 Optimization Start Parameter Estimates Gradient Lower Upper Objective Bound Bound N Parameter Estimate Function Constraint Constraint 1 X1 3.480000 0 0 1E300 2 X2 0.276000 0 0 1E300 3 X3 0.158000 0 -1E300 1E300 4 X4 0.012500 0 -1E300 1E300 5 X5 0.001000 0 0 1E300 6 X6 0.001250 0 -1E300 1E300 7 X7 0.290000 0 -1.000000 1.000000 8 X8 0.000000100 0 1E-9 1E300 9 X9 0.000000100 0 1E-9 1E300 10 X10 0.000000100 0 1E-9 1E300 11 X11 0.000000100 0 . . 12 X12 0.000000100 0 . . Value of Objective Function = -9268645.221 The SAS System 07:46 Monday, October 16, 2017 7591 Dual Quasi-Newton Optimization Minimum Iterations 0 Maximum Iterations 2000 Maximum Function Calls 5000 ABSGCONV Gradient Criterion 0.00001 GCONV Gradient Criterion 1E-8 ABSFCONV Function Criterion 0 FCONV Function Criterion 2.220446E-16 FCONV2 Function Criterion 0 FSIZE Parameter 0 ABSXCONV Parameter Change Criterion 0 XCONV Parameter Change Criterion 0 XSIZE Parameter 0 ABSCONV Function Criterion 1.340781E154 Line Search Method 2 Starting Alpha for Line Search 1 Line Search Precision LSPRECISION 0.4 DAMPSTEP Parameter for Line Search . MAXSTEP Parameter for Line Search 0 FD Derivatives: Accurate Digits in Obj.F 15.653559775 Singularity Tolerance (SINGULAR) 1E-8 Constraint Precision (LCEPS) 1E-8 Linearly Dependent Constraints (LCSING) 1E-8 Releasing Active Constraints (LCDEACT) . Dual Quasi-Newton Optimization Dual Broyden - Fletcher - Goldfarb - Shanno Update (DBFGS) Gradient Computed by Finite Differences Parameter Estimates 12 Lower Bounds 10 Upper Bounds 10 Optimization Start Active Constraints 0 Objective Function -9268645.221 Max Abs Gradient Element 0 Optimization Results Iterations 0 Function Calls 2 Gradient Calls 2 Active Constraints 0 Objective Function -9268645.221 Max Abs Gradient Element 0 Slope of Search Direction 0 ABSGCONV convergence criterion satisfied. The SAS System 07:46 Monday, October 16, 2017 7592 Optimization Results Parameter Estimates Gradient Objective N Parameter Estimate Function 1 X1 3.480000 0 2 X2 0.276000 0 3 X3 0.158000 0 4 X4 0.012500 0 5 X5 0.001000 0 6 X6 0.001250 0 7 X7 0.290000 0 8 X8 0.000000100 0 9 X9 0.000000100 0 10 X10 0.000000100 0 11 X11 0.000000100 0 12 X12 0.000000100 0 Value of Objective Function = -9268645.221 The SAS System 07:46 Monday, October 16, 2017 7593 Optimization Start Parameter Estimates Gradient Lower Upper Objective Bound Bound N Parameter Estimate Function Constraint Constraint 1 X1 3.480000 0 0 1E300 2 X2 0.276000 0 0 1E300 3 X3 0.158000 0 -1E300 1E300 4 X4 0.012500 0 -1E300 1E300 5 X5 0.001000 0 0 1E300 6 X6 0.001250 0 -1E300 1E300 7 X7 0.310000 0 -1.000000 1.000000 8 X8 0.000000100 0 1E-9 1E300 9 X9 0.000000100 0 1E-9 1E300 10 X10 0.000000100 0 1E-9 1E300 11 X11 0.000000100 0 . . 12 X12 0.000000100 0 . . Value of Objective Function = -9268645.221 The SAS System 07:46 Monday, October 16, 2017 7594 Dual Quasi-Newton Optimization Minimum Iterations 0 Maximum Iterations 2000 Maximum Function Calls 5000 ABSGCONV Gradient Criterion 0.00001 GCONV Gradient Criterion 1E-8 ABSFCONV Function Criterion 0 FCONV Function Criterion 2.220446E-16 FCONV2 Function Criterion 0 FSIZE Parameter 0 ABSXCONV Parameter Change Criterion 0 XCONV Parameter Change Criterion 0 XSIZE Parameter 0 ABSCONV Function Criterion 1.340781E154 Line Search Method 2 Starting Alpha for Line Search 1 Line Search Precision LSPRECISION 0.4 DAMPSTEP Parameter for Line Search . MAXSTEP Parameter for Line Search 0 FD Derivatives: Accurate Digits in Obj.F 15.653559775 Singularity Tolerance (SINGULAR) 1E-8 Constraint Precision (LCEPS) 1E-8 Linearly Dependent Constraints (LCSING) 1E-8 Releasing Active Constraints (LCDEACT) . Dual Quasi-Newton Optimization Dual Broyden - Fletcher - Goldfarb - Shanno Update (DBFGS) Gradient Computed by Finite Differences Parameter Estimates 12 Lower Bounds 10 Upper Bounds 10 Optimization Start Active Constraints 0 Objective Function -9268645.221 Max Abs Gradient Element 0 Optimization Results Iterations 0 Function Calls 2 Gradient Calls 2 Active Constraints 0 Objective Function -9268645.221 Max Abs Gradient Element 0 Slope of Search Direction 0 ABSGCONV convergence criterion satisfied. The SAS System 07:46 Monday, October 16, 2017 7595 Optimization Results Parameter Estimates Gradient Objective N Parameter Estimate Function 1 X1 3.480000 0 2 X2 0.276000 0 3 X3 0.158000 0 4 X4 0.012500 0 5 X5 0.001000 0 6 X6 0.001250 0 7 X7 0.310000 0 8 X8 0.000000100 0 9 X9 0.000000100 0 10 X10 0.000000100 0 11 X11 0.000000100 0 12 X12 0.000000100 0 Value of Objective Function = -9268645.221 The SAS System 07:46 Monday, October 16, 2017 7596 Optimization Start Parameter Estimates Gradient Lower Upper Objective Bound Bound N Parameter Estimate Function Constraint Constraint 1 X1 3.480000 0 0 1E300 2 X2 0.276000 0 0 1E300 3 X3 0.158000 0 -1E300 1E300 4 X4 0.012500 0 -1E300 1E300 5 X5 0.001000 0 0 1E300 6 X6 0.011250 0 -1E300 1E300 7 X7 0.290000 0 -1.000000 1.000000 8 X8 0.000000100 0 1E-9 1E300 9 X9 0.000000100 0 1E-9 1E300 10 X10 0.000000100 0 1E-9 1E300 11 X11 0.000000100 0 . . 12 X12 0.000000100 0 . . Value of Objective Function = -9268645.177 The SAS System 07:46 Monday, October 16, 2017 7597 Dual Quasi-Newton Optimization Minimum Iterations 0 Maximum Iterations 2000 Maximum Function Calls 5000 ABSGCONV Gradient Criterion 0.00001 GCONV Gradient Criterion 1E-8 ABSFCONV Function Criterion 0 FCONV Function Criterion 2.220446E-16 FCONV2 Function Criterion 0 FSIZE Parameter 0 ABSXCONV Parameter Change Criterion 0 XCONV Parameter Change Criterion 0 XSIZE Parameter 0 ABSCONV Function Criterion 1.340781E154 Line Search Method 2 Starting Alpha for Line Search 1 Line Search Precision LSPRECISION 0.4 DAMPSTEP Parameter for Line Search . MAXSTEP Parameter for Line Search 0 FD Derivatives: Accurate Digits in Obj.F 15.653559775 Singularity Tolerance (SINGULAR) 1E-8 Constraint Precision (LCEPS) 1E-8 Linearly Dependent Constraints (LCSING) 1E-8 Releasing Active Constraints (LCDEACT) . Dual Quasi-Newton Optimization Dual Broyden - Fletcher - Goldfarb - Shanno Update (DBFGS) Gradient Computed by Finite Differences Parameter Estimates 12 Lower Bounds 10 Upper Bounds 10 Optimization Start Active Constraints 0 Objective Function -9268645.177 Max Abs Gradient Element 0 Optimization Results Iterations 0 Function Calls 2 Gradient Calls 2 Active Constraints 0 Objective Function -9268645.177 Max Abs Gradient Element 0 Slope of Search Direction 0 ABSGCONV convergence criterion satisfied. The SAS System 07:46 Monday, October 16, 2017 7598 Optimization Results Parameter Estimates Gradient Objective N Parameter Estimate Function 1 X1 3.480000 0 2 X2 0.276000 0 3 X3 0.158000 0 4 X4 0.012500 0 5 X5 0.001000 0 6 X6 0.011250 0 7 X7 0.290000 0 8 X8 0.000000100 0 9 X9 0.000000100 0 10 X10 0.000000100 0 11 X11 0.000000100 0 12 X12 0.000000100 0 Value of Objective Function = -9268645.177 The SAS System 07:46 Monday, October 16, 2017 7599 Optimization Start Parameter Estimates Gradient Lower Upper Objective Bound Bound N Parameter Estimate Function Constraint Constraint 1 X1 3.480000 0 0 1E300 2 X2 0.276000 0 0 1E300 3 X3 0.158000 0 -1E300 1E300 4 X4 0.012500 0 -1E300 1E300 5 X5 0.001000 0 0 1E300 6 X6 0.011250 0 -1E300 1E300 7 X7 0.310000 0 -1.000000 1.000000 8 X8 0.000000100 0 1E-9 1E300 9 X9 0.000000100 0 1E-9 1E300 10 X10 0.000000100 0 1E-9 1E300 11 X11 0.000000100 0 . . 12 X12 0.000000100 0 . . Value of Objective Function = -9268645.177 The SAS System 07:46 Monday, October 16, 2017 7600 Dual Quasi-Newton Optimization Minimum Iterations 0 Maximum Iterations 2000 Maximum Function Calls 5000 ABSGCONV Gradient Criterion 0.00001 GCONV Gradient Criterion 1E-8 ABSFCONV Function Criterion 0 FCONV Function Criterion 2.220446E-16 FCONV2 Function Criterion 0 FSIZE Parameter 0 ABSXCONV Parameter Change Criterion 0 XCONV Parameter Change Criterion 0 XSIZE Parameter 0 ABSCONV Function Criterion 1.340781E154 Line Search Method 2 Starting Alpha for Line Search 1 Line Search Precision LSPRECISION 0.4 DAMPSTEP Parameter for Line Search . MAXSTEP Parameter for Line Search 0 FD Derivatives: Accurate Digits in Obj.F 15.653559775 Singularity Tolerance (SINGULAR) 1E-8 Constraint Precision (LCEPS) 1E-8 Linearly Dependent Constraints (LCSING) 1E-8 Releasing Active Constraints (LCDEACT) . Dual Quasi-Newton Optimization Dual Broyden - Fletcher - Goldfarb - Shanno Update (DBFGS) Gradient Computed by Finite Differences Parameter Estimates 12 Lower Bounds 10 Upper Bounds 10 Optimization Start Active Constraints 0 Objective Function -9268645.177 Max Abs Gradient Element 0 Optimization Results Iterations 0 Function Calls 2 Gradient Calls 2 Active Constraints 0 Objective Function -9268645.177 Max Abs Gradient Element 0 Slope of Search Direction 0 ABSGCONV convergence criterion satisfied. The SAS System 07:46 Monday, October 16, 2017 7601 Optimization Results Parameter Estimates Gradient Objective N Parameter Estimate Function 1 X1 3.480000 0 2 X2 0.276000 0 3 X3 0.158000 0 4 X4 0.012500 0 5 X5 0.001000 0 6 X6 0.011250 0 7 X7 0.310000 0 8 X8 0.000000100 0 9 X9 0.000000100 0 10 X10 0.000000100 0 11 X11 0.000000100 0 12 X12 0.000000100 0 Value of Objective Function = -9268645.177 The SAS System 07:46 Monday, October 16, 2017 7602 Optimization Start Parameter Estimates Gradient Lower Upper Objective Bound Bound N Parameter Estimate Function Constraint Constraint 1 X1 3.480000 0 0 1E300 2 X2 0.276000 0 0 1E300 3 X3 0.158000 0 -1E300 1E300 4 X4 0.012500 0 -1E300 1E300 5 X5 0.051000 0 0 1E300 6 X6 0.001250 0 -1E300 1E300 7 X7 0.290000 0 -1.000000 1.000000 8 X8 0.000000100 0 1E-9 1E300 9 X9 0.000000100 0 1E-9 1E300 10 X10 0.000000100 0 1E-9 1E300 11 X11 0.000000100 0 . . 12 X12 0.000000100 0 . . Value of Objective Function = -9268645.21 The SAS System 07:46 Monday, October 16, 2017 7603 Dual Quasi-Newton Optimization Minimum Iterations 0 Maximum Iterations 2000 Maximum Function Calls 5000 ABSGCONV Gradient Criterion 0.00001 GCONV Gradient Criterion 1E-8 ABSFCONV Function Criterion 0 FCONV Function Criterion 2.220446E-16 FCONV2 Function Criterion 0 FSIZE Parameter 0 ABSXCONV Parameter Change Criterion 0 XCONV Parameter Change Criterion 0 XSIZE Parameter 0 ABSCONV Function Criterion 1.340781E154 Line Search Method 2 Starting Alpha for Line Search 1 Line Search Precision LSPRECISION 0.4 DAMPSTEP Parameter for Line Search . MAXSTEP Parameter for Line Search 0 FD Derivatives: Accurate Digits in Obj.F 15.653559775 Singularity Tolerance (SINGULAR) 1E-8 Constraint Precision (LCEPS) 1E-8 Linearly Dependent Constraints (LCSING) 1E-8 Releasing Active Constraints (LCDEACT) . Dual Quasi-Newton Optimization Dual Broyden - Fletcher - Goldfarb - Shanno Update (DBFGS) Gradient Computed by Finite Differences Parameter Estimates 12 Lower Bounds 10 Upper Bounds 10 Optimization Start Active Constraints 0 Objective Function -9268645.21 Max Abs Gradient Element 0 Optimization Results Iterations 0 Function Calls 2 Gradient Calls 2 Active Constraints 0 Objective Function -9268645.21 Max Abs Gradient Element 0 Slope of Search Direction 0 ABSGCONV convergence criterion satisfied. The SAS System 07:46 Monday, October 16, 2017 7604 Optimization Results Parameter Estimates Gradient Objective N Parameter Estimate Function 1 X1 3.480000 0 2 X2 0.276000 0 3 X3 0.158000 0 4 X4 0.012500 0 5 X5 0.051000 0 6 X6 0.001250 0 7 X7 0.290000 0 8 X8 0.000000100 0 9 X9 0.000000100 0 10 X10 0.000000100 0 11 X11 0.000000100 0 12 X12 0.000000100 0 Value of Objective Function = -9268645.21 The SAS System 07:46 Monday, October 16, 2017 7605 Optimization Start Parameter Estimates Gradient Lower Upper Objective Bound Bound N Parameter Estimate Function Constraint Constraint 1 X1 3.480000 0 0 1E300 2 X2 0.276000 0 0 1E300 3 X3 0.158000 0 -1E300 1E300 4 X4 0.012500 0 -1E300 1E300 5 X5 0.051000 0 0 1E300 6 X6 0.001250 0 -1E300 1E300 7 X7 0.310000 0 -1.000000 1.000000 8 X8 0.000000100 0 1E-9 1E300 9 X9 0.000000100 0 1E-9 1E300 10 X10 0.000000100 0 1E-9 1E300 11 X11 0.000000100 0 . . 12 X12 0.000000100 0 . . Value of Objective Function = -9268645.209 The SAS System 07:46 Monday, October 16, 2017 7606 Dual Quasi-Newton Optimization Minimum Iterations 0 Maximum Iterations 2000 Maximum Function Calls 5000 ABSGCONV Gradient Criterion 0.00001 GCONV Gradient Criterion 1E-8 ABSFCONV Function Criterion 0 FCONV Function Criterion 2.220446E-16 FCONV2 Function Criterion 0 FSIZE Parameter 0 ABSXCONV Parameter Change Criterion 0 XCONV Parameter Change Criterion 0 XSIZE Parameter 0 ABSCONV Function Criterion 1.340781E154 Line Search Method 2 Starting Alpha for Line Search 1 Line Search Precision LSPRECISION 0.4 DAMPSTEP Parameter for Line Search . MAXSTEP Parameter for Line Search 0 FD Derivatives: Accurate Digits in Obj.F 15.653559775 Singularity Tolerance (SINGULAR) 1E-8 Constraint Precision (LCEPS) 1E-8 Linearly Dependent Constraints (LCSING) 1E-8 Releasing Active Constraints (LCDEACT) . Dual Quasi-Newton Optimization Dual Broyden - Fletcher - Goldfarb - Shanno Update (DBFGS) Gradient Computed by Finite Differences Parameter Estimates 12 Lower Bounds 10 Upper Bounds 10 Optimization Start Active Constraints 0 Objective Function -9268645.209 Max Abs Gradient Element 0 Optimization Results Iterations 0 Function Calls 2 Gradient Calls 2 Active Constraints 0 Objective Function -9268645.209 Max Abs Gradient Element 0 Slope of Search Direction 0 ABSGCONV convergence criterion satisfied. The SAS System 07:46 Monday, October 16, 2017 7607 Optimization Results Parameter Estimates Gradient Objective N Parameter Estimate Function 1 X1 3.480000 0 2 X2 0.276000 0 3 X3 0.158000 0 4 X4 0.012500 0 5 X5 0.051000 0 6 X6 0.001250 0 7 X7 0.310000 0 8 X8 0.000000100 0 9 X9 0.000000100 0 10 X10 0.000000100 0 11 X11 0.000000100 0 12 X12 0.000000100 0 Value of Objective Function = -9268645.209 The SAS System 07:46 Monday, October 16, 2017 7608 Optimization Start Parameter Estimates Gradient Lower Upper Objective Bound Bound N Parameter Estimate Function Constraint Constraint 1 X1 3.480000 0 0 1E300 2 X2 0.276000 0 0 1E300 3 X3 0.158000 0 -1E300 1E300 4 X4 0.012500 0 -1E300 1E300 5 X5 0.051000 0 0 1E300 6 X6 0.011250 0 -1E300 1E300 7 X7 0.290000 0 -1.000000 1.000000 8 X8 0.000000100 0 1E-9 1E300 9 X9 0.000000100 0 1E-9 1E300 10 X10 0.000000100 0 1E-9 1E300 11 X11 0.000000100 0 . . 12 X12 0.000000100 0 . . Value of Objective Function = -9268645.17 The SAS System 07:46 Monday, October 16, 2017 7609 Dual Quasi-Newton Optimization Minimum Iterations 0 Maximum Iterations 2000 Maximum Function Calls 5000 ABSGCONV Gradient Criterion 0.00001 GCONV Gradient Criterion 1E-8 ABSFCONV Function Criterion 0 FCONV Function Criterion 2.220446E-16 FCONV2 Function Criterion 0 FSIZE Parameter 0 ABSXCONV Parameter Change Criterion 0 XCONV Parameter Change Criterion 0 XSIZE Parameter 0 ABSCONV Function Criterion 1.340781E154 Line Search Method 2 Starting Alpha for Line Search 1 Line Search Precision LSPRECISION 0.4 DAMPSTEP Parameter for Line Search . MAXSTEP Parameter for Line Search 0 FD Derivatives: Accurate Digits in Obj.F 15.653559775 Singularity Tolerance (SINGULAR) 1E-8 Constraint Precision (LCEPS) 1E-8 Linearly Dependent Constraints (LCSING) 1E-8 Releasing Active Constraints (LCDEACT) . Dual Quasi-Newton Optimization Dual Broyden - Fletcher - Goldfarb - Shanno Update (DBFGS) Gradient Computed by Finite Differences Parameter Estimates 12 Lower Bounds 10 Upper Bounds 10 Optimization Start Active Constraints 0 Objective Function -9268645.17 Max Abs Gradient Element 0 Optimization Results Iterations 0 Function Calls 2 Gradient Calls 2 Active Constraints 0 Objective Function -9268645.17 Max Abs Gradient Element 0 Slope of Search Direction 0 ABSGCONV convergence criterion satisfied. The SAS System 07:46 Monday, October 16, 2017 7610 Optimization Results Parameter Estimates Gradient Objective N Parameter Estimate Function 1 X1 3.480000 0 2 X2 0.276000 0 3 X3 0.158000 0 4 X4 0.012500 0 5 X5 0.051000 0 6 X6 0.011250 0 7 X7 0.290000 0 8 X8 0.000000100 0 9 X9 0.000000100 0 10 X10 0.000000100 0 11 X11 0.000000100 0 12 X12 0.000000100 0 Value of Objective Function = -9268645.17 The SAS System 07:46 Monday, October 16, 2017 7611 Optimization Start Parameter Estimates Gradient Lower Upper Objective Bound Bound N Parameter Estimate Function Constraint Constraint 1 X1 3.480000 0 0 1E300 2 X2 0.276000 0 0 1E300 3 X3 0.158000 0 -1E300 1E300 4 X4 0.012500 0 -1E300 1E300 5 X5 0.051000 0 0 1E300 6 X6 0.011250 0 -1E300 1E300 7 X7 0.310000 0 -1.000000 1.000000 8 X8 0.000000100 0 1E-9 1E300 9 X9 0.000000100 0 1E-9 1E300 10 X10 0.000000100 0 1E-9 1E300 11 X11 0.000000100 0 . . 12 X12 0.000000100 0 . . Value of Objective Function = -9268645.169 The SAS System 07:46 Monday, October 16, 2017 7612 Dual Quasi-Newton Optimization Minimum Iterations 0 Maximum Iterations 2000 Maximum Function Calls 5000 ABSGCONV Gradient Criterion 0.00001 GCONV Gradient Criterion 1E-8 ABSFCONV Function Criterion 0 FCONV Function Criterion 2.220446E-16 FCONV2 Function Criterion 0 FSIZE Parameter 0 ABSXCONV Parameter Change Criterion 0 XCONV Parameter Change Criterion 0 XSIZE Parameter 0 ABSCONV Function Criterion 1.340781E154 Line Search Method 2 Starting Alpha for Line Search 1 Line Search Precision LSPRECISION 0.4 DAMPSTEP Parameter for Line Search . MAXSTEP Parameter for Line Search 0 FD Derivatives: Accurate Digits in Obj.F 15.653559775 Singularity Tolerance (SINGULAR) 1E-8 Constraint Precision (LCEPS) 1E-8 Linearly Dependent Constraints (LCSING) 1E-8 Releasing Active Constraints (LCDEACT) . Dual Quasi-Newton Optimization Dual Broyden - Fletcher - Goldfarb - Shanno Update (DBFGS) Gradient Computed by Finite Differences Parameter Estimates 12 Lower Bounds 10 Upper Bounds 10 Optimization Start Active Constraints 0 Objective Function -9268645.169 Max Abs Gradient Element 0 Optimization Results Iterations 0 Function Calls 2 Gradient Calls 2 Active Constraints 0 Objective Function -9268645.169 Max Abs Gradient Element 0 Slope of Search Direction 0 ABSGCONV convergence criterion satisfied. The SAS System 07:46 Monday, October 16, 2017 7613 Optimization Results Parameter Estimates Gradient Objective N Parameter Estimate Function 1 X1 3.480000 0 2 X2 0.276000 0 3 X3 0.158000 0 4 X4 0.012500 0 5 X5 0.051000 0 6 X6 0.011250 0 7 X7 0.310000 0 8 X8 0.000000100 0 9 X9 0.000000100 0 10 X10 0.000000100 0 11 X11 0.000000100 0 12 X12 0.000000100 0 Value of Objective Function = -9268645.169 The SAS System 07:46 Monday, October 16, 2017 7614 Optimization Start Parameter Estimates Gradient Lower Upper Objective Bound Bound N Parameter Estimate Function Constraint Constraint 1 X1 3.480000 0 0 1E300 2 X2 0.276000 0 0 1E300 3 X3 0.158000 0 -1E300 1E300 4 X4 0.012500 0 -1E300 1E300 5 X5 0.101000 0 0 1E300 6 X6 0.001250 0 -1E300 1E300 7 X7 0.290000 0 -1.000000 1.000000 8 X8 0.000000100 0 1E-9 1E300 9 X9 0.000000100 0 1E-9 1E300 10 X10 0.000000100 0 1E-9 1E300 11 X11 0.000000100 0 . . 12 X12 0.000000100 0 . . Value of Objective Function = -9268645.189 The SAS System 07:46 Monday, October 16, 2017 7615 Dual Quasi-Newton Optimization Minimum Iterations 0 Maximum Iterations 2000 Maximum Function Calls 5000 ABSGCONV Gradient Criterion 0.00001 GCONV Gradient Criterion 1E-8 ABSFCONV Function Criterion 0 FCONV Function Criterion 2.220446E-16 FCONV2 Function Criterion 0 FSIZE Parameter 0 ABSXCONV Parameter Change Criterion 0 XCONV Parameter Change Criterion 0 XSIZE Parameter 0 ABSCONV Function Criterion 1.340781E154 Line Search Method 2 Starting Alpha for Line Search 1 Line Search Precision LSPRECISION 0.4 DAMPSTEP Parameter for Line Search . MAXSTEP Parameter for Line Search 0 FD Derivatives: Accurate Digits in Obj.F 15.653559775 Singularity Tolerance (SINGULAR) 1E-8 Constraint Precision (LCEPS) 1E-8 Linearly Dependent Constraints (LCSING) 1E-8 Releasing Active Constraints (LCDEACT) . Dual Quasi-Newton Optimization Dual Broyden - Fletcher - Goldfarb - Shanno Update (DBFGS) Gradient Computed by Finite Differences Parameter Estimates 12 Lower Bounds 10 Upper Bounds 10 Optimization Start Active Constraints 0 Objective Function -9268645.189 Max Abs Gradient Element 0 Optimization Results Iterations 0 Function Calls 2 Gradient Calls 2 Active Constraints 0 Objective Function -9268645.189 Max Abs Gradient Element 0 Slope of Search Direction 0 ABSGCONV convergence criterion satisfied. The SAS System 07:46 Monday, October 16, 2017 7616 Optimization Results Parameter Estimates Gradient Objective N Parameter Estimate Function 1 X1 3.480000 0 2 X2 0.276000 0 3 X3 0.158000 0 4 X4 0.012500 0 5 X5 0.101000 0 6 X6 0.001250 0 7 X7 0.290000 0 8 X8 0.000000100 0 9 X9 0.000000100 0 10 X10 0.000000100 0 11 X11 0.000000100 0 12 X12 0.000000100 0 Value of Objective Function = -9268645.189 The SAS System 07:46 Monday, October 16, 2017 7617 Optimization Start Parameter Estimates Gradient Lower Upper Objective Bound Bound N Parameter Estimate Function Constraint Constraint 1 X1 3.480000 0 0 1E300 2 X2 0.276000 0 0 1E300 3 X3 0.158000 0 -1E300 1E300 4 X4 0.012500 0 -1E300 1E300 5 X5 0.101000 0 0 1E300 6 X6 0.001250 0 -1E300 1E300 7 X7 0.310000 0 -1.000000 1.000000 8 X8 0.000000100 0 1E-9 1E300 9 X9 0.000000100 0 1E-9 1E300 10 X10 0.000000100 0 1E-9 1E300 11 X11 0.000000100 0 . . 12 X12 0.000000100 0 . . Value of Objective Function = -9268645.188 The SAS System 07:46 Monday, October 16, 2017 7618 Dual Quasi-Newton Optimization Minimum Iterations 0 Maximum Iterations 2000 Maximum Function Calls 5000 ABSGCONV Gradient Criterion 0.00001 GCONV Gradient Criterion 1E-8 ABSFCONV Function Criterion 0 FCONV Function Criterion 2.220446E-16 FCONV2 Function Criterion 0 FSIZE Parameter 0 ABSXCONV Parameter Change Criterion 0 XCONV Parameter Change Criterion 0 XSIZE Parameter 0 ABSCONV Function Criterion 1.340781E154 Line Search Method 2 Starting Alpha for Line Search 1 Line Search Precision LSPRECISION 0.4 DAMPSTEP Parameter for Line Search . MAXSTEP Parameter for Line Search 0 FD Derivatives: Accurate Digits in Obj.F 15.653559775 Singularity Tolerance (SINGULAR) 1E-8 Constraint Precision (LCEPS) 1E-8 Linearly Dependent Constraints (LCSING) 1E-8 Releasing Active Constraints (LCDEACT) . Dual Quasi-Newton Optimization Dual Broyden - Fletcher - Goldfarb - Shanno Update (DBFGS) Gradient Computed by Finite Differences Parameter Estimates 12 Lower Bounds 10 Upper Bounds 10 Optimization Start Active Constraints 0 Objective Function -9268645.188 Max Abs Gradient Element 0 Optimization Results Iterations 0 Function Calls 2 Gradient Calls 2 Active Constraints 0 Objective Function -9268645.188 Max Abs Gradient Element 0 Slope of Search Direction 0 ABSGCONV convergence criterion satisfied. The SAS System 07:46 Monday, October 16, 2017 7619 Optimization Results Parameter Estimates Gradient Objective N Parameter Estimate Function 1 X1 3.480000 0 2 X2 0.276000 0 3 X3 0.158000 0 4 X4 0.012500 0 5 X5 0.101000 0 6 X6 0.001250 0 7 X7 0.310000 0 8 X8 0.000000100 0 9 X9 0.000000100 0 10 X10 0.000000100 0 11 X11 0.000000100 0 12 X12 0.000000100 0 Value of Objective Function = -9268645.188 The SAS System 07:46 Monday, October 16, 2017 7620 Optimization Start Parameter Estimates Gradient Lower Upper Objective Bound Bound N Parameter Estimate Function Constraint Constraint 1 X1 3.480000 0 0 1E300 2 X2 0.276000 0 0 1E300 3 X3 0.158000 0 -1E300 1E300 4 X4 0.012500 0 -1E300 1E300 5 X5 0.101000 0 0 1E300 6 X6 0.011250 0 -1E300 1E300 7 X7 0.290000 0 -1.000000 1.000000 8 X8 0.000000100 0 1E-9 1E300 9 X9 0.000000100 0 1E-9 1E300 10 X10 0.000000100 0 1E-9 1E300 11 X11 0.000000100 0 . . 12 X12 0.000000100 0 . . Value of Objective Function = -9268645.156 The SAS System 07:46 Monday, October 16, 2017 7621 Dual Quasi-Newton Optimization Minimum Iterations 0 Maximum Iterations 2000 Maximum Function Calls 5000 ABSGCONV Gradient Criterion 0.00001 GCONV Gradient Criterion 1E-8 ABSFCONV Function Criterion 0 FCONV Function Criterion 2.220446E-16 FCONV2 Function Criterion 0 FSIZE Parameter 0 ABSXCONV Parameter Change Criterion 0 XCONV Parameter Change Criterion 0 XSIZE Parameter 0 ABSCONV Function Criterion 1.340781E154 Line Search Method 2 Starting Alpha for Line Search 1 Line Search Precision LSPRECISION 0.4 DAMPSTEP Parameter for Line Search . MAXSTEP Parameter for Line Search 0 FD Derivatives: Accurate Digits in Obj.F 15.653559775 Singularity Tolerance (SINGULAR) 1E-8 Constraint Precision (LCEPS) 1E-8 Linearly Dependent Constraints (LCSING) 1E-8 Releasing Active Constraints (LCDEACT) . Dual Quasi-Newton Optimization Dual Broyden - Fletcher - Goldfarb - Shanno Update (DBFGS) Gradient Computed by Finite Differences Parameter Estimates 12 Lower Bounds 10 Upper Bounds 10 Optimization Start Active Constraints 0 Objective Function -9268645.156 Max Abs Gradient Element 0 Optimization Results Iterations 0 Function Calls 2 Gradient Calls 2 Active Constraints 0 Objective Function -9268645.156 Max Abs Gradient Element 0 Slope of Search Direction 0 ABSGCONV convergence criterion satisfied. The SAS System 07:46 Monday, October 16, 2017 7622 Optimization Results Parameter Estimates Gradient Objective N Parameter Estimate Function 1 X1 3.480000 0 2 X2 0.276000 0 3 X3 0.158000 0 4 X4 0.012500 0 5 X5 0.101000 0 6 X6 0.011250 0 7 X7 0.290000 0 8 X8 0.000000100 0 9 X9 0.000000100 0 10 X10 0.000000100 0 11 X11 0.000000100 0 12 X12 0.000000100 0 Value of Objective Function = -9268645.156 The SAS System 07:46 Monday, October 16, 2017 7623 Optimization Start Parameter Estimates Gradient Lower Upper Objective Bound Bound N Parameter Estimate Function Constraint Constraint 1 X1 3.480000 0 0 1E300 2 X2 0.276000 0 0 1E300 3 X3 0.158000 0 -1E300 1E300 4 X4 0.012500 0 -1E300 1E300 5 X5 0.101000 0 0 1E300 6 X6 0.011250 0 -1E300 1E300 7 X7 0.310000 0 -1.000000 1.000000 8 X8 0.000000100 0 1E-9 1E300 9 X9 0.000000100 0 1E-9 1E300 10 X10 0.000000100 0 1E-9 1E300 11 X11 0.000000100 0 . . 12 X12 0.000000100 0 . . Value of Objective Function = -9268645.155 The SAS System 07:46 Monday, October 16, 2017 7624 Dual Quasi-Newton Optimization Minimum Iterations 0 Maximum Iterations 2000 Maximum Function Calls 5000 ABSGCONV Gradient Criterion 0.00001 GCONV Gradient Criterion 1E-8 ABSFCONV Function Criterion 0 FCONV Function Criterion 2.220446E-16 FCONV2 Function Criterion 0 FSIZE Parameter 0 ABSXCONV Parameter Change Criterion 0 XCONV Parameter Change Criterion 0 XSIZE Parameter 0 ABSCONV Function Criterion 1.340781E154 Line Search Method 2 Starting Alpha for Line Search 1 Line Search Precision LSPRECISION 0.4 DAMPSTEP Parameter for Line Search . MAXSTEP Parameter for Line Search 0 FD Derivatives: Accurate Digits in Obj.F 15.653559775 Singularity Tolerance (SINGULAR) 1E-8 Constraint Precision (LCEPS) 1E-8 Linearly Dependent Constraints (LCSING) 1E-8 Releasing Active Constraints (LCDEACT) . Dual Quasi-Newton Optimization Dual Broyden - Fletcher - Goldfarb - Shanno Update (DBFGS) Gradient Computed by Finite Differences Parameter Estimates 12 Lower Bounds 10 Upper Bounds 10 Optimization Start Active Constraints 0 Objective Function -9268645.155 Max Abs Gradient Element 0 Optimization Results Iterations 0 Function Calls 2 Gradient Calls 2 Active Constraints 0 Objective Function -9268645.155 Max Abs Gradient Element 0 Slope of Search Direction 0 ABSGCONV convergence criterion satisfied. The SAS System 07:46 Monday, October 16, 2017 7625 Optimization Results Parameter Estimates Gradient Objective N Parameter Estimate Function 1 X1 3.480000 0 2 X2 0.276000 0 3 X3 0.158000 0 4 X4 0.012500 0 5 X5 0.101000 0 6 X6 0.011250 0 7 X7 0.310000 0 8 X8 0.000000100 0 9 X9 0.000000100 0 10 X10 0.000000100 0 11 X11 0.000000100 0 12 X12 0.000000100 0 Value of Objective Function = -9268645.155 The SAS System 07:46 Monday, October 16, 2017 7626 Optimization Start Parameter Estimates Gradient Lower Upper Objective Bound Bound N Parameter Estimate Function Constraint Constraint 1 X1 3.480000 0 0 1E300 2 X2 0.276000 0 0 1E300 3 X3 0.158000 0 -1E300 1E300 4 X4 0.012500 0 -1E300 1E300 5 X5 0.151000 0 0 1E300 6 X6 0.001250 0 -1E300 1E300 7 X7 0.290000 0 -1.000000 1.000000 8 X8 0.000000100 0 1E-9 1E300 9 X9 0.000000100 0 1E-9 1E300 10 X10 0.000000100 0 1E-9 1E300 11 X11 0.000000100 0 . . 12 X12 0.000000100 0 . . Value of Objective Function = -9268645.163 The SAS System 07:46 Monday, October 16, 2017 7627 Dual Quasi-Newton Optimization Minimum Iterations 0 Maximum Iterations 2000 Maximum Function Calls 5000 ABSGCONV Gradient Criterion 0.00001 GCONV Gradient Criterion 1E-8 ABSFCONV Function Criterion 0 FCONV Function Criterion 2.220446E-16 FCONV2 Function Criterion 0 FSIZE Parameter 0 ABSXCONV Parameter Change Criterion 0 XCONV Parameter Change Criterion 0 XSIZE Parameter 0 ABSCONV Function Criterion 1.340781E154 Line Search Method 2 Starting Alpha for Line Search 1 Line Search Precision LSPRECISION 0.4 DAMPSTEP Parameter for Line Search . MAXSTEP Parameter for Line Search 0 FD Derivatives: Accurate Digits in Obj.F 15.653559775 Singularity Tolerance (SINGULAR) 1E-8 Constraint Precision (LCEPS) 1E-8 Linearly Dependent Constraints (LCSING) 1E-8 Releasing Active Constraints (LCDEACT) . Dual Quasi-Newton Optimization Dual Broyden - Fletcher - Goldfarb - Shanno Update (DBFGS) Gradient Computed by Finite Differences Parameter Estimates 12 Lower Bounds 10 Upper Bounds 10 Optimization Start Active Constraints 0 Objective Function -9268645.163 Max Abs Gradient Element 0 Optimization Results Iterations 0 Function Calls 2 Gradient Calls 2 Active Constraints 0 Objective Function -9268645.163 Max Abs Gradient Element 0 Slope of Search Direction 0 ABSGCONV convergence criterion satisfied. The SAS System 07:46 Monday, October 16, 2017 7628 Optimization Results Parameter Estimates Gradient Objective N Parameter Estimate Function 1 X1 3.480000 0 2 X2 0.276000 0 3 X3 0.158000 0 4 X4 0.012500 0 5 X5 0.151000 0 6 X6 0.001250 0 7 X7 0.290000 0 8 X8 0.000000100 0 9 X9 0.000000100 0 10 X10 0.000000100 0 11 X11 0.000000100 0 12 X12 0.000000100 0 Value of Objective Function = -9268645.163 The SAS System 07:46 Monday, October 16, 2017 7629 Optimization Start Parameter Estimates Gradient Lower Upper Objective Bound Bound N Parameter Estimate Function Constraint Constraint 1 X1 3.480000 0 0 1E300 2 X2 0.276000 0 0 1E300 3 X3 0.158000 0 -1E300 1E300 4 X4 0.012500 0 -1E300 1E300 5 X5 0.151000 0 0 1E300 6 X6 0.001250 0 -1E300 1E300 7 X7 0.310000 0 -1.000000 1.000000 8 X8 0.000000100 0 1E-9 1E300 9 X9 0.000000100 0 1E-9 1E300 10 X10 0.000000100 0 1E-9 1E300 11 X11 0.000000100 0 . . 12 X12 0.000000100 0 . . Value of Objective Function = -9268645.163 The SAS System 07:46 Monday, October 16, 2017 7630 Dual Quasi-Newton Optimization Minimum Iterations 0 Maximum Iterations 2000 Maximum Function Calls 5000 ABSGCONV Gradient Criterion 0.00001 GCONV Gradient Criterion 1E-8 ABSFCONV Function Criterion 0 FCONV Function Criterion 2.220446E-16 FCONV2 Function Criterion 0 FSIZE Parameter 0 ABSXCONV Parameter Change Criterion 0 XCONV Parameter Change Criterion 0 XSIZE Parameter 0 ABSCONV Function Criterion 1.340781E154 Line Search Method 2 Starting Alpha for Line Search 1 Line Search Precision LSPRECISION 0.4 DAMPSTEP Parameter for Line Search . MAXSTEP Parameter for Line Search 0 FD Derivatives: Accurate Digits in Obj.F 15.653559775 Singularity Tolerance (SINGULAR) 1E-8 Constraint Precision (LCEPS) 1E-8 Linearly Dependent Constraints (LCSING) 1E-8 Releasing Active Constraints (LCDEACT) . Dual Quasi-Newton Optimization Dual Broyden - Fletcher - Goldfarb - Shanno Update (DBFGS) Gradient Computed by Finite Differences Parameter Estimates 12 Lower Bounds 10 Upper Bounds 10 Optimization Start Active Constraints 0 Objective Function -9268645.163 Max Abs Gradient Element 0 Optimization Results Iterations 0 Function Calls 2 Gradient Calls 2 Active Constraints 0 Objective Function -9268645.163 Max Abs Gradient Element 0 Slope of Search Direction 0 ABSGCONV convergence criterion satisfied. The SAS System 07:46 Monday, October 16, 2017 7631 Optimization Results Parameter Estimates Gradient Objective N Parameter Estimate Function 1 X1 3.480000 0 2 X2 0.276000 0 3 X3 0.158000 0 4 X4 0.012500 0 5 X5 0.151000 0 6 X6 0.001250 0 7 X7 0.310000 0 8 X8 0.000000100 0 9 X9 0.000000100 0 10 X10 0.000000100 0 11 X11 0.000000100 0 12 X12 0.000000100 0 Value of Objective Function = -9268645.163 The SAS System 07:46 Monday, October 16, 2017 7632 Optimization Start Parameter Estimates Gradient Lower Upper Objective Bound Bound N Parameter Estimate Function Constraint Constraint 1 X1 3.480000 0 0 1E300 2 X2 0.276000 0 0 1E300 3 X3 0.158000 0 -1E300 1E300 4 X4 0.012500 0 -1E300 1E300 5 X5 0.151000 0 0 1E300 6 X6 0.011250 0 -1E300 1E300 7 X7 0.290000 0 -1.000000 1.000000 8 X8 0.000000100 0 1E-9 1E300 9 X9 0.000000100 0 1E-9 1E300 10 X10 0.000000100 0 1E-9 1E300 11 X11 0.000000100 0 . . 12 X12 0.000000100 0 . . Value of Objective Function = -9268645.141 The SAS System 07:46 Monday, October 16, 2017 7633 Dual Quasi-Newton Optimization Minimum Iterations 0 Maximum Iterations 2000 Maximum Function Calls 5000 ABSGCONV Gradient Criterion 0.00001 GCONV Gradient Criterion 1E-8 ABSFCONV Function Criterion 0 FCONV Function Criterion 2.220446E-16 FCONV2 Function Criterion 0 FSIZE Parameter 0 ABSXCONV Parameter Change Criterion 0 XCONV Parameter Change Criterion 0 XSIZE Parameter 0 ABSCONV Function Criterion 1.340781E154 Line Search Method 2 Starting Alpha for Line Search 1 Line Search Precision LSPRECISION 0.4 DAMPSTEP Parameter for Line Search . MAXSTEP Parameter for Line Search 0 FD Derivatives: Accurate Digits in Obj.F 15.653559775 Singularity Tolerance (SINGULAR) 1E-8 Constraint Precision (LCEPS) 1E-8 Linearly Dependent Constraints (LCSING) 1E-8 Releasing Active Constraints (LCDEACT) . Dual Quasi-Newton Optimization Dual Broyden - Fletcher - Goldfarb - Shanno Update (DBFGS) Gradient Computed by Finite Differences Parameter Estimates 12 Lower Bounds 10 Upper Bounds 10 Optimization Start Active Constraints 0 Objective Function -9268645.141 Max Abs Gradient Element 0 Optimization Results Iterations 0 Function Calls 2 Gradient Calls 2 Active Constraints 0 Objective Function -9268645.141 Max Abs Gradient Element 0 Slope of Search Direction 0 ABSGCONV convergence criterion satisfied. The SAS System 07:46 Monday, October 16, 2017 7634 Optimization Results Parameter Estimates Gradient Objective N Parameter Estimate Function 1 X1 3.480000 0 2 X2 0.276000 0 3 X3 0.158000 0 4 X4 0.012500 0 5 X5 0.151000 0 6 X6 0.011250 0 7 X7 0.290000 0 8 X8 0.000000100 0 9 X9 0.000000100 0 10 X10 0.000000100 0 11 X11 0.000000100 0 12 X12 0.000000100 0 Value of Objective Function = -9268645.141 The SAS System 07:46 Monday, October 16, 2017 7635 Optimization Start Parameter Estimates Gradient Lower Upper Objective Bound Bound N Parameter Estimate Function Constraint Constraint 1 X1 3.480000 0 0 1E300 2 X2 0.276000 0 0 1E300 3 X3 0.158000 0 -1E300 1E300 4 X4 0.012500 0 -1E300 1E300 5 X5 0.151000 0 0 1E300 6 X6 0.011250 0 -1E300 1E300 7 X7 0.310000 0 -1.000000 1.000000 8 X8 0.000000100 0 1E-9 1E300 9 X9 0.000000100 0 1E-9 1E300 10 X10 0.000000100 0 1E-9 1E300 11 X11 0.000000100 0 . . 12 X12 0.000000100 0 . . Value of Objective Function = -9268645.141 The SAS System 07:46 Monday, October 16, 2017 7636 Dual Quasi-Newton Optimization Minimum Iterations 0 Maximum Iterations 2000 Maximum Function Calls 5000 ABSGCONV Gradient Criterion 0.00001 GCONV Gradient Criterion 1E-8 ABSFCONV Function Criterion 0 FCONV Function Criterion 2.220446E-16 FCONV2 Function Criterion 0 FSIZE Parameter 0 ABSXCONV Parameter Change Criterion 0 XCONV Parameter Change Criterion 0 XSIZE Parameter 0 ABSCONV Function Criterion 1.340781E154 Line Search Method 2 Starting Alpha for Line Search 1 Line Search Precision LSPRECISION 0.4 DAMPSTEP Parameter for Line Search . MAXSTEP Parameter for Line Search 0 FD Derivatives: Accurate Digits in Obj.F 15.653559775 Singularity Tolerance (SINGULAR) 1E-8 Constraint Precision (LCEPS) 1E-8 Linearly Dependent Constraints (LCSING) 1E-8 Releasing Active Constraints (LCDEACT) . Dual Quasi-Newton Optimization Dual Broyden - Fletcher - Goldfarb - Shanno Update (DBFGS) Gradient Computed by Finite Differences Parameter Estimates 12 Lower Bounds 10 Upper Bounds 10 Optimization Start Active Constraints 0 Objective Function -9268645.141 Max Abs Gradient Element 0 Optimization Results Iterations 0 Function Calls 2 Gradient Calls 2 Active Constraints 0 Objective Function -9268645.141 Max Abs Gradient Element 0 Slope of Search Direction 0 ABSGCONV convergence criterion satisfied. The SAS System 07:46 Monday, October 16, 2017 7637 Optimization Results Parameter Estimates Gradient Objective N Parameter Estimate Function 1 X1 3.480000 0 2 X2 0.276000 0 3 X3 0.158000 0 4 X4 0.012500 0 5 X5 0.151000 0 6 X6 0.011250 0 7 X7 0.310000 0 8 X8 0.000000100 0 9 X9 0.000000100 0 10 X10 0.000000100 0 11 X11 0.000000100 0 12 X12 0.000000100 0 Value of Objective Function = -9268645.141 The SAS System 07:46 Monday, October 16, 2017 7638 Optimization Start Parameter Estimates Gradient Lower Upper Objective Bound Bound N Parameter Estimate Function Constraint Constraint 1 X1 3.480000 0 0 1E300 2 X2 0.336000 0 0 1E300 3 X3 0.118000 0 -1E300 1E300 4 X4 -0.022500 0 -1E300 1E300 5 X5 0.001000 0 0 1E300 6 X6 0.001250 0 -1E300 1E300 7 X7 0.290000 0 -1.000000 1.000000 8 X8 0.000000100 0 1E-9 1E300 9 X9 0.000000100 0 1E-9 1E300 10 X10 0.000000100 0 1E-9 1E300 11 X11 0.000000100 0 . . 12 X12 0.000000100 0 . . Value of Objective Function = -9268645.172 The SAS System 07:46 Monday, October 16, 2017 7639 Dual Quasi-Newton Optimization Minimum Iterations 0 Maximum Iterations 2000 Maximum Function Calls 5000 ABSGCONV Gradient Criterion 0.00001 GCONV Gradient Criterion 1E-8 ABSFCONV Function Criterion 0 FCONV Function Criterion 2.220446E-16 FCONV2 Function Criterion 0 FSIZE Parameter 0 ABSXCONV Parameter Change Criterion 0 XCONV Parameter Change Criterion 0 XSIZE Parameter 0 ABSCONV Function Criterion 1.340781E154 Line Search Method 2 Starting Alpha for Line Search 1 Line Search Precision LSPRECISION 0.4 DAMPSTEP Parameter for Line Search . MAXSTEP Parameter for Line Search 0 FD Derivatives: Accurate Digits in Obj.F 15.653559775 Singularity Tolerance (SINGULAR) 1E-8 Constraint Precision (LCEPS) 1E-8 Linearly Dependent Constraints (LCSING) 1E-8 Releasing Active Constraints (LCDEACT) . Dual Quasi-Newton Optimization Dual Broyden - Fletcher - Goldfarb - Shanno Update (DBFGS) Gradient Computed by Finite Differences Parameter Estimates 12 Lower Bounds 10 Upper Bounds 10 Optimization Start Active Constraints 0 Objective Function -9268645.172 Max Abs Gradient Element 0 Optimization Results Iterations 0 Function Calls 2 Gradient Calls 2 Active Constraints 0 Objective Function -9268645.172 Max Abs Gradient Element 0 Slope of Search Direction 0 ABSGCONV convergence criterion satisfied. The SAS System 07:46 Monday, October 16, 2017 7640 Optimization Results Parameter Estimates Gradient Objective N Parameter Estimate Function 1 X1 3.480000 0 2 X2 0.336000 0 3 X3 0.118000 0 4 X4 -0.022500 0 5 X5 0.001000 0 6 X6 0.001250 0 7 X7 0.290000 0 8 X8 0.000000100 0 9 X9 0.000000100 0 10 X10 0.000000100 0 11 X11 0.000000100 0 12 X12 0.000000100 0 Value of Objective Function = -9268645.172 The SAS System 07:46 Monday, October 16, 2017 7641 Optimization Start Parameter Estimates Gradient Lower Upper Objective Bound Bound N Parameter Estimate Function Constraint Constraint 1 X1 3.480000 0 0 1E300 2 X2 0.336000 0 0 1E300 3 X3 0.118000 0 -1E300 1E300 4 X4 -0.022500 0 -1E300 1E300 5 X5 0.001000 0 0 1E300 6 X6 0.001250 0 -1E300 1E300 7 X7 0.310000 0 -1.000000 1.000000 8 X8 0.000000100 0 1E-9 1E300 9 X9 0.000000100 0 1E-9 1E300 10 X10 0.000000100 0 1E-9 1E300 11 X11 0.000000100 0 . . 12 X12 0.000000100 0 . . Value of Objective Function = -9268645.172 The SAS System 07:46 Monday, October 16, 2017 7642 Dual Quasi-Newton Optimization Minimum Iterations 0 Maximum Iterations 2000 Maximum Function Calls 5000 ABSGCONV Gradient Criterion 0.00001 GCONV Gradient Criterion 1E-8 ABSFCONV Function Criterion 0 FCONV Function Criterion 2.220446E-16 FCONV2 Function Criterion 0 FSIZE Parameter 0 ABSXCONV Parameter Change Criterion 0 XCONV Parameter Change Criterion 0 XSIZE Parameter 0 ABSCONV Function Criterion 1.340781E154 Line Search Method 2 Starting Alpha for Line Search 1 Line Search Precision LSPRECISION 0.4 DAMPSTEP Parameter for Line Search . MAXSTEP Parameter for Line Search 0 FD Derivatives: Accurate Digits in Obj.F 15.653559775 Singularity Tolerance (SINGULAR) 1E-8 Constraint Precision (LCEPS) 1E-8 Linearly Dependent Constraints (LCSING) 1E-8 Releasing Active Constraints (LCDEACT) . Dual Quasi-Newton Optimization Dual Broyden - Fletcher - Goldfarb - Shanno Update (DBFGS) Gradient Computed by Finite Differences Parameter Estimates 12 Lower Bounds 10 Upper Bounds 10 Optimization Start Active Constraints 0 Objective Function -9268645.172 Max Abs Gradient Element 0 Optimization Results Iterations 0 Function Calls 2 Gradient Calls 2 Active Constraints 0 Objective Function -9268645.172 Max Abs Gradient Element 0 Slope of Search Direction 0 ABSGCONV convergence criterion satisfied. The SAS System 07:46 Monday, October 16, 2017 7643 Optimization Results Parameter Estimates Gradient Objective N Parameter Estimate Function 1 X1 3.480000 0 2 X2 0.336000 0 3 X3 0.118000 0 4 X4 -0.022500 0 5 X5 0.001000 0 6 X6 0.001250 0 7 X7 0.310000 0 8 X8 0.000000100 0 9 X9 0.000000100 0 10 X10 0.000000100 0 11 X11 0.000000100 0 12 X12 0.000000100 0 Value of Objective Function = -9268645.172 The SAS System 07:46 Monday, October 16, 2017 7644 Optimization Start Parameter Estimates Gradient Lower Upper Objective Bound Bound N Parameter Estimate Function Constraint Constraint 1 X1 3.480000 0 0 1E300 2 X2 0.336000 0 0 1E300 3 X3 0.118000 0 -1E300 1E300 4 X4 -0.022500 0 -1E300 1E300 5 X5 0.001000 0 0 1E300 6 X6 0.011250 0 -1E300 1E300 7 X7 0.290000 0 -1.000000 1.000000 8 X8 0.000000100 0 1E-9 1E300 9 X9 0.000000100 0 1E-9 1E300 10 X10 0.000000100 0 1E-9 1E300 11 X11 0.000000100 0 . . 12 X12 0.000000100 0 . . Value of Objective Function = -9268645.145 The SAS System 07:46 Monday, October 16, 2017 7645 Dual Quasi-Newton Optimization Minimum Iterations 0 Maximum Iterations 2000 Maximum Function Calls 5000 ABSGCONV Gradient Criterion 0.00001 GCONV Gradient Criterion 1E-8 ABSFCONV Function Criterion 0 FCONV Function Criterion 2.220446E-16 FCONV2 Function Criterion 0 FSIZE Parameter 0 ABSXCONV Parameter Change Criterion 0 XCONV Parameter Change Criterion 0 XSIZE Parameter 0 ABSCONV Function Criterion 1.340781E154 Line Search Method 2 Starting Alpha for Line Search 1 Line Search Precision LSPRECISION 0.4 DAMPSTEP Parameter for Line Search . MAXSTEP Parameter for Line Search 0 FD Derivatives: Accurate Digits in Obj.F 15.653559775 Singularity Tolerance (SINGULAR) 1E-8 Constraint Precision (LCEPS) 1E-8 Linearly Dependent Constraints (LCSING) 1E-8 Releasing Active Constraints (LCDEACT) . Dual Quasi-Newton Optimization Dual Broyden - Fletcher - Goldfarb - Shanno Update (DBFGS) Gradient Computed by Finite Differences Parameter Estimates 12 Lower Bounds 10 Upper Bounds 10 Optimization Start Active Constraints 0 Objective Function -9268645.145 Max Abs Gradient Element 0 Optimization Results Iterations 0 Function Calls 2 Gradient Calls 2 Active Constraints 0 Objective Function -9268645.145 Max Abs Gradient Element 0 Slope of Search Direction 0 ABSGCONV convergence criterion satisfied. The SAS System 07:46 Monday, October 16, 2017 7646 Optimization Results Parameter Estimates Gradient Objective N Parameter Estimate Function 1 X1 3.480000 0 2 X2 0.336000 0 3 X3 0.118000 0 4 X4 -0.022500 0 5 X5 0.001000 0 6 X6 0.011250 0 7 X7 0.290000 0 8 X8 0.000000100 0 9 X9 0.000000100 0 10 X10 0.000000100 0 11 X11 0.000000100 0 12 X12 0.000000100 0 Value of Objective Function = -9268645.145 The SAS System 07:46 Monday, October 16, 2017 7647 Optimization Start Parameter Estimates Gradient Lower Upper Objective Bound Bound N Parameter Estimate Function Constraint Constraint 1 X1 3.480000 0 0 1E300 2 X2 0.336000 0 0 1E300 3 X3 0.118000 0 -1E300 1E300 4 X4 -0.022500 0 -1E300 1E300 5 X5 0.001000 0 0 1E300 6 X6 0.011250 0 -1E300 1E300 7 X7 0.310000 0 -1.000000 1.000000 8 X8 0.000000100 0 1E-9 1E300 9 X9 0.000000100 0 1E-9 1E300 10 X10 0.000000100 0 1E-9 1E300 11 X11 0.000000100 0 . . 12 X12 0.000000100 0 . . Value of Objective Function = -9268645.145 The SAS System 07:46 Monday, October 16, 2017 7648 Dual Quasi-Newton Optimization Minimum Iterations 0 Maximum Iterations 2000 Maximum Function Calls 5000 ABSGCONV Gradient Criterion 0.00001 GCONV Gradient Criterion 1E-8 ABSFCONV Function Criterion 0 FCONV Function Criterion 2.220446E-16 FCONV2 Function Criterion 0 FSIZE Parameter 0 ABSXCONV Parameter Change Criterion 0 XCONV Parameter Change Criterion 0 XSIZE Parameter 0 ABSCONV Function Criterion 1.340781E154 Line Search Method 2 Starting Alpha for Line Search 1 Line Search Precision LSPRECISION 0.4 DAMPSTEP Parameter for Line Search . MAXSTEP Parameter for Line Search 0 FD Derivatives: Accurate Digits in Obj.F 15.653559775 Singularity Tolerance (SINGULAR) 1E-8 Constraint Precision (LCEPS) 1E-8 Linearly Dependent Constraints (LCSING) 1E-8 Releasing Active Constraints (LCDEACT) . Dual Quasi-Newton Optimization Dual Broyden - Fletcher - Goldfarb - Shanno Update (DBFGS) Gradient Computed by Finite Differences Parameter Estimates 12 Lower Bounds 10 Upper Bounds 10 Optimization Start Active Constraints 0 Objective Function -9268645.145 Max Abs Gradient Element 0 Optimization Results Iterations 0 Function Calls 2 Gradient Calls 2 Active Constraints 0 Objective Function -9268645.145 Max Abs Gradient Element 0 Slope of Search Direction 0 ABSGCONV convergence criterion satisfied. The SAS System 07:46 Monday, October 16, 2017 7649 Optimization Results Parameter Estimates Gradient Objective N Parameter Estimate Function 1 X1 3.480000 0 2 X2 0.336000 0 3 X3 0.118000 0 4 X4 -0.022500 0 5 X5 0.001000 0 6 X6 0.011250 0 7 X7 0.310000 0 8 X8 0.000000100 0 9 X9 0.000000100 0 10 X10 0.000000100 0 11 X11 0.000000100 0 12 X12 0.000000100 0 Value of Objective Function = -9268645.145 The SAS System 07:46 Monday, October 16, 2017 7650 Optimization Start Parameter Estimates Gradient Lower Upper Objective Bound Bound N Parameter Estimate Function Constraint Constraint 1 X1 3.480000 0 0 1E300 2 X2 0.336000 0 0 1E300 3 X3 0.118000 0 -1E300 1E300 4 X4 -0.022500 0 -1E300 1E300 5 X5 0.051000 0 0 1E300 6 X6 0.001250 0 -1E300 1E300 7 X7 0.290000 0 -1.000000 1.000000 8 X8 0.000000100 0 1E-9 1E300 9 X9 0.000000100 0 1E-9 1E300 10 X10 0.000000100 0 1E-9 1E300 11 X11 0.000000100 0 . . 12 X12 0.000000100 0 . . Value of Objective Function = -9268645.164 The SAS System 07:46 Monday, October 16, 2017 7651 Dual Quasi-Newton Optimization Minimum Iterations 0 Maximum Iterations 2000 Maximum Function Calls 5000 ABSGCONV Gradient Criterion 0.00001 GCONV Gradient Criterion 1E-8 ABSFCONV Function Criterion 0 FCONV Function Criterion 2.220446E-16 FCONV2 Function Criterion 0 FSIZE Parameter 0 ABSXCONV Parameter Change Criterion 0 XCONV Parameter Change Criterion 0 XSIZE Parameter 0 ABSCONV Function Criterion 1.340781E154 Line Search Method 2 Starting Alpha for Line Search 1 Line Search Precision LSPRECISION 0.4 DAMPSTEP Parameter for Line Search . MAXSTEP Parameter for Line Search 0 FD Derivatives: Accurate Digits in Obj.F 15.653559775 Singularity Tolerance (SINGULAR) 1E-8 Constraint Precision (LCEPS) 1E-8 Linearly Dependent Constraints (LCSING) 1E-8 Releasing Active Constraints (LCDEACT) . Dual Quasi-Newton Optimization Dual Broyden - Fletcher - Goldfarb - Shanno Update (DBFGS) Gradient Computed by Finite Differences Parameter Estimates 12 Lower Bounds 10 Upper Bounds 10 Optimization Start Active Constraints 0 Objective Function -9268645.164 Max Abs Gradient Element 0 Optimization Results Iterations 0 Function Calls 2 Gradient Calls 2 Active Constraints 0 Objective Function -9268645.164 Max Abs Gradient Element 0 Slope of Search Direction 0 ABSGCONV convergence criterion satisfied. The SAS System 07:46 Monday, October 16, 2017 7652 Optimization Results Parameter Estimates Gradient Objective N Parameter Estimate Function 1 X1 3.480000 0 2 X2 0.336000 0 3 X3 0.118000 0 4 X4 -0.022500 0 5 X5 0.051000 0 6 X6 0.001250 0 7 X7 0.290000 0 8 X8 0.000000100 0 9 X9 0.000000100 0 10 X10 0.000000100 0 11 X11 0.000000100 0 12 X12 0.000000100 0 Value of Objective Function = -9268645.164 The SAS System 07:46 Monday, October 16, 2017 7653 Optimization Start Parameter Estimates Gradient Lower Upper Objective Bound Bound N Parameter Estimate Function Constraint Constraint 1 X1 3.480000 0 0 1E300 2 X2 0.336000 0 0 1E300 3 X3 0.118000 0 -1E300 1E300 4 X4 -0.022500 0 -1E300 1E300 5 X5 0.051000 0 0 1E300 6 X6 0.001250 0 -1E300 1E300 7 X7 0.310000 0 -1.000000 1.000000 8 X8 0.000000100 0 1E-9 1E300 9 X9 0.000000100 0 1E-9 1E300 10 X10 0.000000100 0 1E-9 1E300 11 X11 0.000000100 0 . . 12 X12 0.000000100 0 . . Value of Objective Function = -9268645.164 The SAS System 07:46 Monday, October 16, 2017 7654 Dual Quasi-Newton Optimization Minimum Iterations 0 Maximum Iterations 2000 Maximum Function Calls 5000 ABSGCONV Gradient Criterion 0.00001 GCONV Gradient Criterion 1E-8 ABSFCONV Function Criterion 0 FCONV Function Criterion 2.220446E-16 FCONV2 Function Criterion 0 FSIZE Parameter 0 ABSXCONV Parameter Change Criterion 0 XCONV Parameter Change Criterion 0 XSIZE Parameter 0 ABSCONV Function Criterion 1.340781E154 Line Search Method 2 Starting Alpha for Line Search 1 Line Search Precision LSPRECISION 0.4 DAMPSTEP Parameter for Line Search . MAXSTEP Parameter for Line Search 0 FD Derivatives: Accurate Digits in Obj.F 15.653559775 Singularity Tolerance (SINGULAR) 1E-8 Constraint Precision (LCEPS) 1E-8 Linearly Dependent Constraints (LCSING) 1E-8 Releasing Active Constraints (LCDEACT) . Dual Quasi-Newton Optimization Dual Broyden - Fletcher - Goldfarb - Shanno Update (DBFGS) Gradient Computed by Finite Differences Parameter Estimates 12 Lower Bounds 10 Upper Bounds 10 Optimization Start Active Constraints 0 Objective Function -9268645.164 Max Abs Gradient Element 0 Optimization Results Iterations 0 Function Calls 2 Gradient Calls 2 Active Constraints 0 Objective Function -9268645.164 Max Abs Gradient Element 0 Slope of Search Direction 0 ABSGCONV convergence criterion satisfied. The SAS System 07:46 Monday, October 16, 2017 7655 Optimization Results Parameter Estimates Gradient Objective N Parameter Estimate Function 1 X1 3.480000 0 2 X2 0.336000 0 3 X3 0.118000 0 4 X4 -0.022500 0 5 X5 0.051000 0 6 X6 0.001250 0 7 X7 0.310000 0 8 X8 0.000000100 0 9 X9 0.000000100 0 10 X10 0.000000100 0 11 X11 0.000000100 0 12 X12 0.000000100 0 Value of Objective Function = -9268645.164 The SAS System 07:46 Monday, October 16, 2017 7656 Optimization Start Parameter Estimates Gradient Lower Upper Objective Bound Bound N Parameter Estimate Function Constraint Constraint 1 X1 3.480000 0 0 1E300 2 X2 0.336000 0 0 1E300 3 X3 0.118000 0 -1E300 1E300 4 X4 -0.022500 0 -1E300 1E300 5 X5 0.051000 0 0 1E300 6 X6 0.011250 0 -1E300 1E300 7 X7 0.290000 0 -1.000000 1.000000 8 X8 0.000000100 0 1E-9 1E300 9 X9 0.000000100 0 1E-9 1E300 10 X10 0.000000100 0 1E-9 1E300 11 X11 0.000000100 0 . . 12 X12 0.000000100 0 . . Value of Objective Function = -9268645.141 The SAS System 07:46 Monday, October 16, 2017 7657 Dual Quasi-Newton Optimization Minimum Iterations 0 Maximum Iterations 2000 Maximum Function Calls 5000 ABSGCONV Gradient Criterion 0.00001 GCONV Gradient Criterion 1E-8 ABSFCONV Function Criterion 0 FCONV Function Criterion 2.220446E-16 FCONV2 Function Criterion 0 FSIZE Parameter 0 ABSXCONV Parameter Change Criterion 0 XCONV Parameter Change Criterion 0 XSIZE Parameter 0 ABSCONV Function Criterion 1.340781E154 Line Search Method 2 Starting Alpha for Line Search 1 Line Search Precision LSPRECISION 0.4 DAMPSTEP Parameter for Line Search . MAXSTEP Parameter for Line Search 0 FD Derivatives: Accurate Digits in Obj.F 15.653559775 Singularity Tolerance (SINGULAR) 1E-8 Constraint Precision (LCEPS) 1E-8 Linearly Dependent Constraints (LCSING) 1E-8 Releasing Active Constraints (LCDEACT) . Dual Quasi-Newton Optimization Dual Broyden - Fletcher - Goldfarb - Shanno Update (DBFGS) Gradient Computed by Finite Differences Parameter Estimates 12 Lower Bounds 10 Upper Bounds 10 Optimization Start Active Constraints 0 Objective Function -9268645.141 Max Abs Gradient Element 0 Optimization Results Iterations 0 Function Calls 2 Gradient Calls 2 Active Constraints 0 Objective Function -9268645.141 Max Abs Gradient Element 0 Slope of Search Direction 0 ABSGCONV convergence criterion satisfied. The SAS System 07:46 Monday, October 16, 2017 7658 Optimization Results Parameter Estimates Gradient Objective N Parameter Estimate Function 1 X1 3.480000 0 2 X2 0.336000 0 3 X3 0.118000 0 4 X4 -0.022500 0 5 X5 0.051000 0 6 X6 0.011250 0 7 X7 0.290000 0 8 X8 0.000000100 0 9 X9 0.000000100 0 10 X10 0.000000100 0 11 X11 0.000000100 0 12 X12 0.000000100 0 Value of Objective Function = -9268645.141 The SAS System 07:46 Monday, October 16, 2017 7659 Optimization Start Parameter Estimates Gradient Lower Upper Objective Bound Bound N Parameter Estimate Function Constraint Constraint 1 X1 3.480000 0 0 1E300 2 X2 0.336000 0 0 1E300 3 X3 0.118000 0 -1E300 1E300 4 X4 -0.022500 0 -1E300 1E300 5 X5 0.051000 0 0 1E300 6 X6 0.011250 0 -1E300 1E300 7 X7 0.310000 0 -1.000000 1.000000 8 X8 0.000000100 0 1E-9 1E300 9 X9 0.000000100 0 1E-9 1E300 10 X10 0.000000100 0 1E-9 1E300 11 X11 0.000000100 0 . . 12 X12 0.000000100 0 . . Value of Objective Function = -9268645.141 The SAS System 07:46 Monday, October 16, 2017 7660 Dual Quasi-Newton Optimization Minimum Iterations 0 Maximum Iterations 2000 Maximum Function Calls 5000 ABSGCONV Gradient Criterion 0.00001 GCONV Gradient Criterion 1E-8 ABSFCONV Function Criterion 0 FCONV Function Criterion 2.220446E-16 FCONV2 Function Criterion 0 FSIZE Parameter 0 ABSXCONV Parameter Change Criterion 0 XCONV Parameter Change Criterion 0 XSIZE Parameter 0 ABSCONV Function Criterion 1.340781E154 Line Search Method 2 Starting Alpha for Line Search 1 Line Search Precision LSPRECISION 0.4 DAMPSTEP Parameter for Line Search . MAXSTEP Parameter for Line Search 0 FD Derivatives: Accurate Digits in Obj.F 15.653559775 Singularity Tolerance (SINGULAR) 1E-8 Constraint Precision (LCEPS) 1E-8 Linearly Dependent Constraints (LCSING) 1E-8 Releasing Active Constraints (LCDEACT) . Dual Quasi-Newton Optimization Dual Broyden - Fletcher - Goldfarb - Shanno Update (DBFGS) Gradient Computed by Finite Differences Parameter Estimates 12 Lower Bounds 10 Upper Bounds 10 Optimization Start Active Constraints 0 Objective Function -9268645.141 Max Abs Gradient Element 0 Optimization Results Iterations 0 Function Calls 2 Gradient Calls 2 Active Constraints 0 Objective Function -9268645.141 Max Abs Gradient Element 0 Slope of Search Direction 0 ABSGCONV convergence criterion satisfied. The SAS System 07:46 Monday, October 16, 2017 7661 Optimization Results Parameter Estimates Gradient Objective N Parameter Estimate Function 1 X1 3.480000 0 2 X2 0.336000 0 3 X3 0.118000 0 4 X4 -0.022500 0 5 X5 0.051000 0 6 X6 0.011250 0 7 X7 0.310000 0 8 X8 0.000000100 0 9 X9 0.000000100 0 10 X10 0.000000100 0 11 X11 0.000000100 0 12 X12 0.000000100 0 Value of Objective Function = -9268645.141 The SAS System 07:46 Monday, October 16, 2017 7662 Optimization Start Parameter Estimates Gradient Lower Upper Objective Bound Bound N Parameter Estimate Function Constraint Constraint 1 X1 3.480000 0 0 1E300 2 X2 0.336000 0 0 1E300 3 X3 0.118000 0 -1E300 1E300 4 X4 -0.022500 0 -1E300 1E300 5 X5 0.101000 0 0 1E300 6 X6 0.001250 0 -1E300 1E300 7 X7 0.290000 0 -1.000000 1.000000 8 X8 0.000000100 0 1E-9 1E300 9 X9 0.000000100 0 1E-9 1E300 10 X10 0.000000100 0 1E-9 1E300 11 X11 0.000000100 0 . . 12 X12 0.000000100 0 . . Value of Objective Function = -9268645.151 The SAS System 07:46 Monday, October 16, 2017 7663 Dual Quasi-Newton Optimization Minimum Iterations 0 Maximum Iterations 2000 Maximum Function Calls 5000 ABSGCONV Gradient Criterion 0.00001 GCONV Gradient Criterion 1E-8 ABSFCONV Function Criterion 0 FCONV Function Criterion 2.220446E-16 FCONV2 Function Criterion 0 FSIZE Parameter 0 ABSXCONV Parameter Change Criterion 0 XCONV Parameter Change Criterion 0 XSIZE Parameter 0 ABSCONV Function Criterion 1.340781E154 Line Search Method 2 Starting Alpha for Line Search 1 Line Search Precision LSPRECISION 0.4 DAMPSTEP Parameter for Line Search . MAXSTEP Parameter for Line Search 0 FD Derivatives: Accurate Digits in Obj.F 15.653559775 Singularity Tolerance (SINGULAR) 1E-8 Constraint Precision (LCEPS) 1E-8 Linearly Dependent Constraints (LCSING) 1E-8 Releasing Active Constraints (LCDEACT) . Dual Quasi-Newton Optimization Dual Broyden - Fletcher - Goldfarb - Shanno Update (DBFGS) Gradient Computed by Finite Differences Parameter Estimates 12 Lower Bounds 10 Upper Bounds 10 Optimization Start Active Constraints 0 Objective Function -9268645.151 Max Abs Gradient Element 0 Optimization Results Iterations 0 Function Calls 2 Gradient Calls 2 Active Constraints 0 Objective Function -9268645.151 Max Abs Gradient Element 0 Slope of Search Direction 0 ABSGCONV convergence criterion satisfied. The SAS System 07:46 Monday, October 16, 2017 7664 Optimization Results Parameter Estimates Gradient Objective N Parameter Estimate Function 1 X1 3.480000 0 2 X2 0.336000 0 3 X3 0.118000 0 4 X4 -0.022500 0 5 X5 0.101000 0 6 X6 0.001250 0 7 X7 0.290000 0 8 X8 0.000000100 0 9 X9 0.000000100 0 10 X10 0.000000100 0 11 X11 0.000000100 0 12 X12 0.000000100 0 Value of Objective Function = -9268645.151 The SAS System 07:46 Monday, October 16, 2017 7665 Optimization Start Parameter Estimates Gradient Lower Upper Objective Bound Bound N Parameter Estimate Function Constraint Constraint 1 X1 3.480000 0 0 1E300 2 X2 0.336000 0 0 1E300 3 X3 0.118000 0 -1E300 1E300 4 X4 -0.022500 0 -1E300 1E300 5 X5 0.101000 0 0 1E300 6 X6 0.001250 0 -1E300 1E300 7 X7 0.310000 0 -1.000000 1.000000 8 X8 0.000000100 0 1E-9 1E300 9 X9 0.000000100 0 1E-9 1E300 10 X10 0.000000100 0 1E-9 1E300 11 X11 0.000000100 0 . . 12 X12 0.000000100 0 . . Value of Objective Function = -9268645.151 The SAS System 07:46 Monday, October 16, 2017 7666 Dual Quasi-Newton Optimization Minimum Iterations 0 Maximum Iterations 2000 Maximum Function Calls 5000 ABSGCONV Gradient Criterion 0.00001 GCONV Gradient Criterion 1E-8 ABSFCONV Function Criterion 0 FCONV Function Criterion 2.220446E-16 FCONV2 Function Criterion 0 FSIZE Parameter 0 ABSXCONV Parameter Change Criterion 0 XCONV Parameter Change Criterion 0 XSIZE Parameter 0 ABSCONV Function Criterion 1.340781E154 Line Search Method 2 Starting Alpha for Line Search 1 Line Search Precision LSPRECISION 0.4 DAMPSTEP Parameter for Line Search . MAXSTEP Parameter for Line Search 0 FD Derivatives: Accurate Digits in Obj.F 15.653559775 Singularity Tolerance (SINGULAR) 1E-8 Constraint Precision (LCEPS) 1E-8 Linearly Dependent Constraints (LCSING) 1E-8 Releasing Active Constraints (LCDEACT) . Dual Quasi-Newton Optimization Dual Broyden - Fletcher - Goldfarb - Shanno Update (DBFGS) Gradient Computed by Finite Differences Parameter Estimates 12 Lower Bounds 10 Upper Bounds 10 Optimization Start Active Constraints 0 Objective Function -9268645.151 Max Abs Gradient Element 0 Optimization Results Iterations 0 Function Calls 2 Gradient Calls 2 Active Constraints 0 Objective Function -9268645.151 Max Abs Gradient Element 0 Slope of Search Direction 0 ABSGCONV convergence criterion satisfied. The SAS System 07:46 Monday, October 16, 2017 7667 Optimization Results Parameter Estimates Gradient Objective N Parameter Estimate Function 1 X1 3.480000 0 2 X2 0.336000 0 3 X3 0.118000 0 4 X4 -0.022500 0 5 X5 0.101000 0 6 X6 0.001250 0 7 X7 0.310000 0 8 X8 0.000000100 0 9 X9 0.000000100 0 10 X10 0.000000100 0 11 X11 0.000000100 0 12 X12 0.000000100 0 Value of Objective Function = -9268645.151 The SAS System 07:46 Monday, October 16, 2017 7668 Optimization Start Parameter Estimates Gradient Lower Upper Objective Bound Bound N Parameter Estimate Function Constraint Constraint 1 X1 3.480000 0 0 1E300 2 X2 0.336000 0 0 1E300 3 X3 0.118000 0 -1E300 1E300 4 X4 -0.022500 0 -1E300 1E300 5 X5 0.101000 0 0 1E300 6 X6 0.011250 0 -1E300 1E300 7 X7 0.290000 0 -1.000000 1.000000 8 X8 0.000000100 0 1E-9 1E300 9 X9 0.000000100 0 1E-9 1E300 10 X10 0.000000100 0 1E-9 1E300 11 X11 0.000000100 0 . . 12 X12 0.000000100 0 . . Value of Objective Function = -9268645.135 The SAS System 07:46 Monday, October 16, 2017 7669 Dual Quasi-Newton Optimization Minimum Iterations 0 Maximum Iterations 2000 Maximum Function Calls 5000 ABSGCONV Gradient Criterion 0.00001 GCONV Gradient Criterion 1E-8 ABSFCONV Function Criterion 0 FCONV Function Criterion 2.220446E-16 FCONV2 Function Criterion 0 FSIZE Parameter 0 ABSXCONV Parameter Change Criterion 0 XCONV Parameter Change Criterion 0 XSIZE Parameter 0 ABSCONV Function Criterion 1.340781E154 Line Search Method 2 Starting Alpha for Line Search 1 Line Search Precision LSPRECISION 0.4 DAMPSTEP Parameter for Line Search . MAXSTEP Parameter for Line Search 0 FD Derivatives: Accurate Digits in Obj.F 15.653559775 Singularity Tolerance (SINGULAR) 1E-8 Constraint Precision (LCEPS) 1E-8 Linearly Dependent Constraints (LCSING) 1E-8 Releasing Active Constraints (LCDEACT) . Dual Quasi-Newton Optimization Dual Broyden - Fletcher - Goldfarb - Shanno Update (DBFGS) Gradient Computed by Finite Differences Parameter Estimates 12 Lower Bounds 10 Upper Bounds 10 Optimization Start Active Constraints 0 Objective Function -9268645.135 Max Abs Gradient Element 0 Optimization Results Iterations 0 Function Calls 2 Gradient Calls 2 Active Constraints 0 Objective Function -9268645.135 Max Abs Gradient Element 0 Slope of Search Direction 0 ABSGCONV convergence criterion satisfied. The SAS System 07:46 Monday, October 16, 2017 7670 Optimization Results Parameter Estimates Gradient Objective N Parameter Estimate Function 1 X1 3.480000 0 2 X2 0.336000 0 3 X3 0.118000 0 4 X4 -0.022500 0 5 X5 0.101000 0 6 X6 0.011250 0 7 X7 0.290000 0 8 X8 0.000000100 0 9 X9 0.000000100 0 10 X10 0.000000100 0 11 X11 0.000000100 0 12 X12 0.000000100 0 Value of Objective Function = -9268645.135 The SAS System 07:46 Monday, October 16, 2017 7671 Optimization Start Parameter Estimates Gradient Lower Upper Objective Bound Bound N Parameter Estimate Function Constraint Constraint 1 X1 3.480000 0 0 1E300 2 X2 0.336000 0 0 1E300 3 X3 0.118000 0 -1E300 1E300 4 X4 -0.022500 0 -1E300 1E300 5 X5 0.101000 0 0 1E300 6 X6 0.011250 0 -1E300 1E300 7 X7 0.310000 0 -1.000000 1.000000 8 X8 0.000000100 0 1E-9 1E300 9 X9 0.000000100 0 1E-9 1E300 10 X10 0.000000100 0 1E-9 1E300 11 X11 0.000000100 0 . . 12 X12 0.000000100 0 . . Value of Objective Function = -9268645.135 The SAS System 07:46 Monday, October 16, 2017 7672 Dual Quasi-Newton Optimization Minimum Iterations 0 Maximum Iterations 2000 Maximum Function Calls 5000 ABSGCONV Gradient Criterion 0.00001 GCONV Gradient Criterion 1E-8 ABSFCONV Function Criterion 0 FCONV Function Criterion 2.220446E-16 FCONV2 Function Criterion 0 FSIZE Parameter 0 ABSXCONV Parameter Change Criterion 0 XCONV Parameter Change Criterion 0 XSIZE Parameter 0 ABSCONV Function Criterion 1.340781E154 Line Search Method 2 Starting Alpha for Line Search 1 Line Search Precision LSPRECISION 0.4 DAMPSTEP Parameter for Line Search . MAXSTEP Parameter for Line Search 0 FD Derivatives: Accurate Digits in Obj.F 15.653559775 Singularity Tolerance (SINGULAR) 1E-8 Constraint Precision (LCEPS) 1E-8 Linearly Dependent Constraints (LCSING) 1E-8 Releasing Active Constraints (LCDEACT) . Dual Quasi-Newton Optimization Dual Broyden - Fletcher - Goldfarb - Shanno Update (DBFGS) Gradient Computed by Finite Differences Parameter Estimates 12 Lower Bounds 10 Upper Bounds 10 Optimization Start Active Constraints 0 Objective Function -9268645.135 Max Abs Gradient Element 0 Optimization Results Iterations 0 Function Calls 2 Gradient Calls 2 Active Constraints 0 Objective Function -9268645.135 Max Abs Gradient Element 0 Slope of Search Direction 0 ABSGCONV convergence criterion satisfied. The SAS System 07:46 Monday, October 16, 2017 7673 Optimization Results Parameter Estimates Gradient Objective N Parameter Estimate Function 1 X1 3.480000 0 2 X2 0.336000 0 3 X3 0.118000 0 4 X4 -0.022500 0 5 X5 0.101000 0 6 X6 0.011250 0 7 X7 0.310000 0 8 X8 0.000000100 0 9 X9 0.000000100 0 10 X10 0.000000100 0 11 X11 0.000000100 0 12 X12 0.000000100 0 Value of Objective Function = -9268645.135 The SAS System 07:46 Monday, October 16, 2017 7674 Optimization Start Parameter Estimates Gradient Lower Upper Objective Bound Bound N Parameter Estimate Function Constraint Constraint 1 X1 3.480000 0 0 1E300 2 X2 0.336000 0 0 1E300 3 X3 0.118000 0 -1E300 1E300 4 X4 -0.022500 0 -1E300 1E300 5 X5 0.151000 0 0 1E300 6 X6 0.001250 0 -1E300 1E300 7 X7 0.290000 0 -1.000000 1.000000 8 X8 0.000000100 0 1E-9 1E300 9 X9 0.000000100 0 1E-9 1E300 10 X10 0.000000100 0 1E-9 1E300 11 X11 0.000000100 0 . . 12 X12 0.000000100 0 . . Value of Objective Function = -9268645.138 The SAS System 07:46 Monday, October 16, 2017 7675 Dual Quasi-Newton Optimization Minimum Iterations 0 Maximum Iterations 2000 Maximum Function Calls 5000 ABSGCONV Gradient Criterion 0.00001 GCONV Gradient Criterion 1E-8 ABSFCONV Function Criterion 0 FCONV Function Criterion 2.220446E-16 FCONV2 Function Criterion 0 FSIZE Parameter 0 ABSXCONV Parameter Change Criterion 0 XCONV Parameter Change Criterion 0 XSIZE Parameter 0 ABSCONV Function Criterion 1.340781E154 Line Search Method 2 Starting Alpha for Line Search 1 Line Search Precision LSPRECISION 0.4 DAMPSTEP Parameter for Line Search . MAXSTEP Parameter for Line Search 0 FD Derivatives: Accurate Digits in Obj.F 15.653559775 Singularity Tolerance (SINGULAR) 1E-8 Constraint Precision (LCEPS) 1E-8 Linearly Dependent Constraints (LCSING) 1E-8 Releasing Active Constraints (LCDEACT) . Dual Quasi-Newton Optimization Dual Broyden - Fletcher - Goldfarb - Shanno Update (DBFGS) Gradient Computed by Finite Differences Parameter Estimates 12 Lower Bounds 10 Upper Bounds 10 Optimization Start Active Constraints 0 Objective Function -9268645.138 Max Abs Gradient Element 0 Optimization Results Iterations 0 Function Calls 2 Gradient Calls 2 Active Constraints 0 Objective Function -9268645.138 Max Abs Gradient Element 0 Slope of Search Direction 0 ABSGCONV convergence criterion satisfied. The SAS System 07:46 Monday, October 16, 2017 7676 Optimization Results Parameter Estimates Gradient Objective N Parameter Estimate Function 1 X1 3.480000 0 2 X2 0.336000 0 3 X3 0.118000 0 4 X4 -0.022500 0 5 X5 0.151000 0 6 X6 0.001250 0 7 X7 0.290000 0 8 X8 0.000000100 0 9 X9 0.000000100 0 10 X10 0.000000100 0 11 X11 0.000000100 0 12 X12 0.000000100 0 Value of Objective Function = -9268645.138 The SAS System 07:46 Monday, October 16, 2017 7677 Optimization Start Parameter Estimates Gradient Lower Upper Objective Bound Bound N Parameter Estimate Function Constraint Constraint 1 X1 3.480000 0 0 1E300 2 X2 0.336000 0 0 1E300 3 X3 0.118000 0 -1E300 1E300 4 X4 -0.022500 0 -1E300 1E300 5 X5 0.151000 0 0 1E300 6 X6 0.001250 0 -1E300 1E300 7 X7 0.310000 0 -1.000000 1.000000 8 X8 0.000000100 0 1E-9 1E300 9 X9 0.000000100 0 1E-9 1E300 10 X10 0.000000100 0 1E-9 1E300 11 X11 0.000000100 0 . . 12 X12 0.000000100 0 . . Value of Objective Function = -9268645.138 The SAS System 07:46 Monday, October 16, 2017 7678 Dual Quasi-Newton Optimization Minimum Iterations 0 Maximum Iterations 2000 Maximum Function Calls 5000 ABSGCONV Gradient Criterion 0.00001 GCONV Gradient Criterion 1E-8 ABSFCONV Function Criterion 0 FCONV Function Criterion 2.220446E-16 FCONV2 Function Criterion 0 FSIZE Parameter 0 ABSXCONV Parameter Change Criterion 0 XCONV Parameter Change Criterion 0 XSIZE Parameter 0 ABSCONV Function Criterion 1.340781E154 Line Search Method 2 Starting Alpha for Line Search 1 Line Search Precision LSPRECISION 0.4 DAMPSTEP Parameter for Line Search . MAXSTEP Parameter for Line Search 0 FD Derivatives: Accurate Digits in Obj.F 15.653559775 Singularity Tolerance (SINGULAR) 1E-8 Constraint Precision (LCEPS) 1E-8 Linearly Dependent Constraints (LCSING) 1E-8 Releasing Active Constraints (LCDEACT) . Dual Quasi-Newton Optimization Dual Broyden - Fletcher - Goldfarb - Shanno Update (DBFGS) Gradient Computed by Finite Differences Parameter Estimates 12 Lower Bounds 10 Upper Bounds 10 Optimization Start Active Constraints 0 Objective Function -9268645.138 Max Abs Gradient Element 0 Optimization Results Iterations 0 Function Calls 2 Gradient Calls 2 Active Constraints 0 Objective Function -9268645.138 Max Abs Gradient Element 0 Slope of Search Direction 0 ABSGCONV convergence criterion satisfied. The SAS System 07:46 Monday, October 16, 2017 7679 Optimization Results Parameter Estimates Gradient Objective N Parameter Estimate Function 1 X1 3.480000 0 2 X2 0.336000 0 3 X3 0.118000 0 4 X4 -0.022500 0 5 X5 0.151000 0 6 X6 0.001250 0 7 X7 0.310000 0 8 X8 0.000000100 0 9 X9 0.000000100 0 10 X10 0.000000100 0 11 X11 0.000000100 0 12 X12 0.000000100 0 Value of Objective Function = -9268645.138 The SAS System 07:46 Monday, October 16, 2017 7680 Optimization Start Parameter Estimates Gradient Lower Upper Objective Bound Bound N Parameter Estimate Function Constraint Constraint 1 X1 3.480000 0 0 1E300 2 X2 0.336000 0 0 1E300 3 X3 0.118000 0 -1E300 1E300 4 X4 -0.022500 0 -1E300 1E300 5 X5 0.151000 0 0 1E300 6 X6 0.011250 0 -1E300 1E300 7 X7 0.290000 0 -1.000000 1.000000 8 X8 0.000000100 0 1E-9 1E300 9 X9 0.000000100 0 1E-9 1E300 10 X10 0.000000100 0 1E-9 1E300 11 X11 0.000000100 0 . . 12 X12 0.000000100 0 . . Value of Objective Function = -9268645.133 The SAS System 07:46 Monday, October 16, 2017 7681 Dual Quasi-Newton Optimization Minimum Iterations 0 Maximum Iterations 2000 Maximum Function Calls 5000 ABSGCONV Gradient Criterion 0.00001 GCONV Gradient Criterion 1E-8 ABSFCONV Function Criterion 0 FCONV Function Criterion 2.220446E-16 FCONV2 Function Criterion 0 FSIZE Parameter 0 ABSXCONV Parameter Change Criterion 0 XCONV Parameter Change Criterion 0 XSIZE Parameter 0 ABSCONV Function Criterion 1.340781E154 Line Search Method 2 Starting Alpha for Line Search 1 Line Search Precision LSPRECISION 0.4 DAMPSTEP Parameter for Line Search . MAXSTEP Parameter for Line Search 0 FD Derivatives: Accurate Digits in Obj.F 15.653559775 Singularity Tolerance (SINGULAR) 1E-8 Constraint Precision (LCEPS) 1E-8 Linearly Dependent Constraints (LCSING) 1E-8 Releasing Active Constraints (LCDEACT) . Dual Quasi-Newton Optimization Dual Broyden - Fletcher - Goldfarb - Shanno Update (DBFGS) Gradient Computed by Finite Differences Parameter Estimates 12 Lower Bounds 10 Upper Bounds 10 Optimization Start Active Constraints 0 Objective Function -9268645.133 Max Abs Gradient Element 0 Optimization Results Iterations 0 Function Calls 2 Gradient Calls 2 Active Constraints 0 Objective Function -9268645.133 Max Abs Gradient Element 0 Slope of Search Direction 0 ABSGCONV convergence criterion satisfied. The SAS System 07:46 Monday, October 16, 2017 7682 Optimization Results Parameter Estimates Gradient Objective N Parameter Estimate Function 1 X1 3.480000 0 2 X2 0.336000 0 3 X3 0.118000 0 4 X4 -0.022500 0 5 X5 0.151000 0 6 X6 0.011250 0 7 X7 0.290000 0 8 X8 0.000000100 0 9 X9 0.000000100 0 10 X10 0.000000100 0 11 X11 0.000000100 0 12 X12 0.000000100 0 Value of Objective Function = -9268645.133 The SAS System 07:46 Monday, October 16, 2017 7683 Optimization Start Parameter Estimates Gradient Lower Upper Objective Bound Bound N Parameter Estimate Function Constraint Constraint 1 X1 3.480000 0 0 1E300 2 X2 0.336000 0 0 1E300 3 X3 0.118000 0 -1E300 1E300 4 X4 -0.022500 0 -1E300 1E300 5 X5 0.151000 0 0 1E300 6 X6 0.011250 0 -1E300 1E300 7 X7 0.310000 0 -1.000000 1.000000 8 X8 0.000000100 0 1E-9 1E300 9 X9 0.000000100 0 1E-9 1E300 10 X10 0.000000100 0 1E-9 1E300 11 X11 0.000000100 0 . . 12 X12 0.000000100 0 . . Value of Objective Function = -9268645.133 The SAS System 07:46 Monday, October 16, 2017 7684 Dual Quasi-Newton Optimization Minimum Iterations 0 Maximum Iterations 2000 Maximum Function Calls 5000 ABSGCONV Gradient Criterion 0.00001 GCONV Gradient Criterion 1E-8 ABSFCONV Function Criterion 0 FCONV Function Criterion 2.220446E-16 FCONV2 Function Criterion 0 FSIZE Parameter 0 ABSXCONV Parameter Change Criterion 0 XCONV Parameter Change Criterion 0 XSIZE Parameter 0 ABSCONV Function Criterion 1.340781E154 Line Search Method 2 Starting Alpha for Line Search 1 Line Search Precision LSPRECISION 0.4 DAMPSTEP Parameter for Line Search . MAXSTEP Parameter for Line Search 0 FD Derivatives: Accurate Digits in Obj.F 15.653559775 Singularity Tolerance (SINGULAR) 1E-8 Constraint Precision (LCEPS) 1E-8 Linearly Dependent Constraints (LCSING) 1E-8 Releasing Active Constraints (LCDEACT) . Dual Quasi-Newton Optimization Dual Broyden - Fletcher - Goldfarb - Shanno Update (DBFGS) Gradient Computed by Finite Differences Parameter Estimates 12 Lower Bounds 10 Upper Bounds 10 Optimization Start Active Constraints 0 Objective Function -9268645.133 Max Abs Gradient Element 0 Optimization Results Iterations 0 Function Calls 2 Gradient Calls 2 Active Constraints 0 Objective Function -9268645.133 Max Abs Gradient Element 0 Slope of Search Direction 0 ABSGCONV convergence criterion satisfied. The SAS System 07:46 Monday, October 16, 2017 7685 Optimization Results Parameter Estimates Gradient Objective N Parameter Estimate Function 1 X1 3.480000 0 2 X2 0.336000 0 3 X3 0.118000 0 4 X4 -0.022500 0 5 X5 0.151000 0 6 X6 0.011250 0 7 X7 0.310000 0 8 X8 0.000000100 0 9 X9 0.000000100 0 10 X10 0.000000100 0 11 X11 0.000000100 0 12 X12 0.000000100 0 Value of Objective Function = -9268645.133 The SAS System 07:46 Monday, October 16, 2017 7686 Optimization Start Parameter Estimates Gradient Lower Upper Objective Bound Bound N Parameter Estimate Function Constraint Constraint 1 X1 3.480000 0 0 1E300 2 X2 0.336000 0 0 1E300 3 X3 0.118000 0 -1E300 1E300 4 X4 0.012500 0 -1E300 1E300 5 X5 0.001000 0 0 1E300 6 X6 0.001250 0 -1E300 1E300 7 X7 0.290000 0 -1.000000 1.000000 8 X8 0.000000100 0 1E-9 1E300 9 X9 0.000000100 0 1E-9 1E300 10 X10 0.000000100 0 1E-9 1E300 11 X11 0.000000100 0 . . 12 X12 0.000000100 0 . . Value of Objective Function = -9268645.173 The SAS System 07:46 Monday, October 16, 2017 7687 Dual Quasi-Newton Optimization Minimum Iterations 0 Maximum Iterations 2000 Maximum Function Calls 5000 ABSGCONV Gradient Criterion 0.00001 GCONV Gradient Criterion 1E-8 ABSFCONV Function Criterion 0 FCONV Function Criterion 2.220446E-16 FCONV2 Function Criterion 0 FSIZE Parameter 0 ABSXCONV Parameter Change Criterion 0 XCONV Parameter Change Criterion 0 XSIZE Parameter 0 ABSCONV Function Criterion 1.340781E154 Line Search Method 2 Starting Alpha for Line Search 1 Line Search Precision LSPRECISION 0.4 DAMPSTEP Parameter for Line Search . MAXSTEP Parameter for Line Search 0 FD Derivatives: Accurate Digits in Obj.F 15.653559775 Singularity Tolerance (SINGULAR) 1E-8 Constraint Precision (LCEPS) 1E-8 Linearly Dependent Constraints (LCSING) 1E-8 Releasing Active Constraints (LCDEACT) . Dual Quasi-Newton Optimization Dual Broyden - Fletcher - Goldfarb - Shanno Update (DBFGS) Gradient Computed by Finite Differences Parameter Estimates 12 Lower Bounds 10 Upper Bounds 10 Optimization Start Active Constraints 0 Objective Function -9268645.173 Max Abs Gradient Element 0 Optimization Results Iterations 0 Function Calls 2 Gradient Calls 2 Active Constraints 0 Objective Function -9268645.173 Max Abs Gradient Element 0 Slope of Search Direction 0 ABSGCONV convergence criterion satisfied. The SAS System 07:46 Monday, October 16, 2017 7688 Optimization Results Parameter Estimates Gradient Objective N Parameter Estimate Function 1 X1 3.480000 0 2 X2 0.336000 0 3 X3 0.118000 0 4 X4 0.012500 0 5 X5 0.001000 0 6 X6 0.001250 0 7 X7 0.290000 0 8 X8 0.000000100 0 9 X9 0.000000100 0 10 X10 0.000000100 0 11 X11 0.000000100 0 12 X12 0.000000100 0 Value of Objective Function = -9268645.173 The SAS System 07:46 Monday, October 16, 2017 7689 Optimization Start Parameter Estimates Gradient Lower Upper Objective Bound Bound N Parameter Estimate Function Constraint Constraint 1 X1 3.480000 0 0 1E300 2 X2 0.336000 0 0 1E300 3 X3 0.118000 0 -1E300 1E300 4 X4 0.012500 0 -1E300 1E300 5 X5 0.001000 0 0 1E300 6 X6 0.001250 0 -1E300 1E300 7 X7 0.310000 0 -1.000000 1.000000 8 X8 0.000000100 0 1E-9 1E300 9 X9 0.000000100 0 1E-9 1E300 10 X10 0.000000100 0 1E-9 1E300 11 X11 0.000000100 0 . . 12 X12 0.000000100 0 . . Value of Objective Function = -9268645.173 The SAS System 07:46 Monday, October 16, 2017 7690 Dual Quasi-Newton Optimization Minimum Iterations 0 Maximum Iterations 2000 Maximum Function Calls 5000 ABSGCONV Gradient Criterion 0.00001 GCONV Gradient Criterion 1E-8 ABSFCONV Function Criterion 0 FCONV Function Criterion 2.220446E-16 FCONV2 Function Criterion 0 FSIZE Parameter 0 ABSXCONV Parameter Change Criterion 0 XCONV Parameter Change Criterion 0 XSIZE Parameter 0 ABSCONV Function Criterion 1.340781E154 Line Search Method 2 Starting Alpha for Line Search 1 Line Search Precision LSPRECISION 0.4 DAMPSTEP Parameter for Line Search . MAXSTEP Parameter for Line Search 0 FD Derivatives: Accurate Digits in Obj.F 15.653559775 Singularity Tolerance (SINGULAR) 1E-8 Constraint Precision (LCEPS) 1E-8 Linearly Dependent Constraints (LCSING) 1E-8 Releasing Active Constraints (LCDEACT) . Dual Quasi-Newton Optimization Dual Broyden - Fletcher - Goldfarb - Shanno Update (DBFGS) Gradient Computed by Finite Differences Parameter Estimates 12 Lower Bounds 10 Upper Bounds 10 Optimization Start Active Constraints 0 Objective Function -9268645.173 Max Abs Gradient Element 0 Optimization Results Iterations 0 Function Calls 2 Gradient Calls 2 Active Constraints 0 Objective Function -9268645.173 Max Abs Gradient Element 0 Slope of Search Direction 0 ABSGCONV convergence criterion satisfied. The SAS System 07:46 Monday, October 16, 2017 7691 Optimization Results Parameter Estimates Gradient Objective N Parameter Estimate Function 1 X1 3.480000 0 2 X2 0.336000 0 3 X3 0.118000 0 4 X4 0.012500 0 5 X5 0.001000 0 6 X6 0.001250 0 7 X7 0.310000 0 8 X8 0.000000100 0 9 X9 0.000000100 0 10 X10 0.000000100 0 11 X11 0.000000100 0 12 X12 0.000000100 0 Value of Objective Function = -9268645.173 The SAS System 07:46 Monday, October 16, 2017 7692 Optimization Start Parameter Estimates Gradient Lower Upper Objective Bound Bound N Parameter Estimate Function Constraint Constraint 1 X1 3.480000 0 0 1E300 2 X2 0.336000 0 0 1E300 3 X3 0.118000 0 -1E300 1E300 4 X4 0.012500 0 -1E300 1E300 5 X5 0.001000 0 0 1E300 6 X6 0.011250 0 -1E300 1E300 7 X7 0.290000 0 -1.000000 1.000000 8 X8 0.000000100 0 1E-9 1E300 9 X9 0.000000100 0 1E-9 1E300 10 X10 0.000000100 0 1E-9 1E300 11 X11 0.000000100 0 . . 12 X12 0.000000100 0 . . Value of Objective Function = -9268645.146 The SAS System 07:46 Monday, October 16, 2017 7693 Dual Quasi-Newton Optimization Minimum Iterations 0 Maximum Iterations 2000 Maximum Function Calls 5000 ABSGCONV Gradient Criterion 0.00001 GCONV Gradient Criterion 1E-8 ABSFCONV Function Criterion 0 FCONV Function Criterion 2.220446E-16 FCONV2 Function Criterion 0 FSIZE Parameter 0 ABSXCONV Parameter Change Criterion 0 XCONV Parameter Change Criterion 0 XSIZE Parameter 0 ABSCONV Function Criterion 1.340781E154 Line Search Method 2 Starting Alpha for Line Search 1 Line Search Precision LSPRECISION 0.4 DAMPSTEP Parameter for Line Search . MAXSTEP Parameter for Line Search 0 FD Derivatives: Accurate Digits in Obj.F 15.653559775 Singularity Tolerance (SINGULAR) 1E-8 Constraint Precision (LCEPS) 1E-8 Linearly Dependent Constraints (LCSING) 1E-8 Releasing Active Constraints (LCDEACT) . Dual Quasi-Newton Optimization Dual Broyden - Fletcher - Goldfarb - Shanno Update (DBFGS) Gradient Computed by Finite Differences Parameter Estimates 12 Lower Bounds 10 Upper Bounds 10 Optimization Start Active Constraints 0 Objective Function -9268645.146 Max Abs Gradient Element 0 Optimization Results Iterations 0 Function Calls 2 Gradient Calls 2 Active Constraints 0 Objective Function -9268645.146 Max Abs Gradient Element 0 Slope of Search Direction 0 ABSGCONV convergence criterion satisfied. The SAS System 07:46 Monday, October 16, 2017 7694 Optimization Results Parameter Estimates Gradient Objective N Parameter Estimate Function 1 X1 3.480000 0 2 X2 0.336000 0 3 X3 0.118000 0 4 X4 0.012500 0 5 X5 0.001000 0 6 X6 0.011250 0 7 X7 0.290000 0 8 X8 0.000000100 0 9 X9 0.000000100 0 10 X10 0.000000100 0 11 X11 0.000000100 0 12 X12 0.000000100 0 Value of Objective Function = -9268645.146 The SAS System 07:46 Monday, October 16, 2017 7695 Optimization Start Parameter Estimates Gradient Lower Upper Objective Bound Bound N Parameter Estimate Function Constraint Constraint 1 X1 3.480000 0 0 1E300 2 X2 0.336000 0 0 1E300 3 X3 0.118000 0 -1E300 1E300 4 X4 0.012500 0 -1E300 1E300 5 X5 0.001000 0 0 1E300 6 X6 0.011250 0 -1E300 1E300 7 X7 0.310000 0 -1.000000 1.000000 8 X8 0.000000100 0 1E-9 1E300 9 X9 0.000000100 0 1E-9 1E300 10 X10 0.000000100 0 1E-9 1E300 11 X11 0.000000100 0 . . 12 X12 0.000000100 0 . . Value of Objective Function = -9268645.146 The SAS System 07:46 Monday, October 16, 2017 7696 Dual Quasi-Newton Optimization Minimum Iterations 0 Maximum Iterations 2000 Maximum Function Calls 5000 ABSGCONV Gradient Criterion 0.00001 GCONV Gradient Criterion 1E-8 ABSFCONV Function Criterion 0 FCONV Function Criterion 2.220446E-16 FCONV2 Function Criterion 0 FSIZE Parameter 0 ABSXCONV Parameter Change Criterion 0 XCONV Parameter Change Criterion 0 XSIZE Parameter 0 ABSCONV Function Criterion 1.340781E154 Line Search Method 2 Starting Alpha for Line Search 1 Line Search Precision LSPRECISION 0.4 DAMPSTEP Parameter for Line Search . MAXSTEP Parameter for Line Search 0 FD Derivatives: Accurate Digits in Obj.F 15.653559775 Singularity Tolerance (SINGULAR) 1E-8 Constraint Precision (LCEPS) 1E-8 Linearly Dependent Constraints (LCSING) 1E-8 Releasing Active Constraints (LCDEACT) . Dual Quasi-Newton Optimization Dual Broyden - Fletcher - Goldfarb - Shanno Update (DBFGS) Gradient Computed by Finite Differences Parameter Estimates 12 Lower Bounds 10 Upper Bounds 10 Optimization Start Active Constraints 0 Objective Function -9268645.146 Max Abs Gradient Element 0 Optimization Results Iterations 0 Function Calls 2 Gradient Calls 2 Active Constraints 0 Objective Function -9268645.146 Max Abs Gradient Element 0 Slope of Search Direction 0 ABSGCONV convergence criterion satisfied. The SAS System 07:46 Monday, October 16, 2017 7697 Optimization Results Parameter Estimates Gradient Objective N Parameter Estimate Function 1 X1 3.480000 0 2 X2 0.336000 0 3 X3 0.118000 0 4 X4 0.012500 0 5 X5 0.001000 0 6 X6 0.011250 0 7 X7 0.310000 0 8 X8 0.000000100 0 9 X9 0.000000100 0 10 X10 0.000000100 0 11 X11 0.000000100 0 12 X12 0.000000100 0 Value of Objective Function = -9268645.146 The SAS System 07:46 Monday, October 16, 2017 7698 Optimization Start Parameter Estimates Gradient Lower Upper Objective Bound Bound N Parameter Estimate Function Constraint Constraint 1 X1 3.480000 0 0 1E300 2 X2 0.336000 0 0 1E300 3 X3 0.118000 0 -1E300 1E300 4 X4 0.012500 0 -1E300 1E300 5 X5 0.051000 0 0 1E300 6 X6 0.001250 0 -1E300 1E300 7 X7 0.290000 0 -1.000000 1.000000 8 X8 0.000000100 0 1E-9 1E300 9 X9 0.000000100 0 1E-9 1E300 10 X10 0.000000100 0 1E-9 1E300 11 X11 0.000000100 0 . . 12 X12 0.000000100 0 . . Value of Objective Function = -9268645.165 The SAS System 07:46 Monday, October 16, 2017 7699 Dual Quasi-Newton Optimization Minimum Iterations 0 Maximum Iterations 2000 Maximum Function Calls 5000 ABSGCONV Gradient Criterion 0.00001 GCONV Gradient Criterion 1E-8 ABSFCONV Function Criterion 0 FCONV Function Criterion 2.220446E-16 FCONV2 Function Criterion 0 FSIZE Parameter 0 ABSXCONV Parameter Change Criterion 0 XCONV Parameter Change Criterion 0 XSIZE Parameter 0 ABSCONV Function Criterion 1.340781E154 Line Search Method 2 Starting Alpha for Line Search 1 Line Search Precision LSPRECISION 0.4 DAMPSTEP Parameter for Line Search . MAXSTEP Parameter for Line Search 0 FD Derivatives: Accurate Digits in Obj.F 15.653559775 Singularity Tolerance (SINGULAR) 1E-8 Constraint Precision (LCEPS) 1E-8 Linearly Dependent Constraints (LCSING) 1E-8 Releasing Active Constraints (LCDEACT) . Dual Quasi-Newton Optimization Dual Broyden - Fletcher - Goldfarb - Shanno Update (DBFGS) Gradient Computed by Finite Differences Parameter Estimates 12 Lower Bounds 10 Upper Bounds 10 Optimization Start Active Constraints 0 Objective Function -9268645.165 Max Abs Gradient Element 0 Optimization Results Iterations 0 Function Calls 2 Gradient Calls 2 Active Constraints 0 Objective Function -9268645.165 Max Abs Gradient Element 0 Slope of Search Direction 0 ABSGCONV convergence criterion satisfied. The SAS System 07:46 Monday, October 16, 2017 7700 Optimization Results Parameter Estimates Gradient Objective N Parameter Estimate Function 1 X1 3.480000 0 2 X2 0.336000 0 3 X3 0.118000 0 4 X4 0.012500 0 5 X5 0.051000 0 6 X6 0.001250 0 7 X7 0.290000 0 8 X8 0.000000100 0 9 X9 0.000000100 0 10 X10 0.000000100 0 11 X11 0.000000100 0 12 X12 0.000000100 0 Value of Objective Function = -9268645.165 The SAS System 07:46 Monday, October 16, 2017 7701 Optimization Start Parameter Estimates Gradient Lower Upper Objective Bound Bound N Parameter Estimate Function Constraint Constraint 1 X1 3.480000 0 0 1E300 2 X2 0.336000 0 0 1E300 3 X3 0.118000 0 -1E300 1E300 4 X4 0.012500 0 -1E300 1E300 5 X5 0.051000 0 0 1E300 6 X6 0.001250 0 -1E300 1E300 7 X7 0.310000 0 -1.000000 1.000000 8 X8 0.000000100 0 1E-9 1E300 9 X9 0.000000100 0 1E-9 1E300 10 X10 0.000000100 0 1E-9 1E300 11 X11 0.000000100 0 . . 12 X12 0.000000100 0 . . Value of Objective Function = -9268645.165 The SAS System 07:46 Monday, October 16, 2017 7702 Dual Quasi-Newton Optimization Minimum Iterations 0 Maximum Iterations 2000 Maximum Function Calls 5000 ABSGCONV Gradient Criterion 0.00001 GCONV Gradient Criterion 1E-8 ABSFCONV Function Criterion 0 FCONV Function Criterion 2.220446E-16 FCONV2 Function Criterion 0 FSIZE Parameter 0 ABSXCONV Parameter Change Criterion 0 XCONV Parameter Change Criterion 0 XSIZE Parameter 0 ABSCONV Function Criterion 1.340781E154 Line Search Method 2 Starting Alpha for Line Search 1 Line Search Precision LSPRECISION 0.4 DAMPSTEP Parameter for Line Search . MAXSTEP Parameter for Line Search 0 FD Derivatives: Accurate Digits in Obj.F 15.653559775 Singularity Tolerance (SINGULAR) 1E-8 Constraint Precision (LCEPS) 1E-8 Linearly Dependent Constraints (LCSING) 1E-8 Releasing Active Constraints (LCDEACT) . Dual Quasi-Newton Optimization Dual Broyden - Fletcher - Goldfarb - Shanno Update (DBFGS) Gradient Computed by Finite Differences Parameter Estimates 12 Lower Bounds 10 Upper Bounds 10 Optimization Start Active Constraints 0 Objective Function -9268645.165 Max Abs Gradient Element 0 Optimization Results Iterations 0 Function Calls 2 Gradient Calls 2 Active Constraints 0 Objective Function -9268645.165 Max Abs Gradient Element 0 Slope of Search Direction 0 ABSGCONV convergence criterion satisfied. The SAS System 07:46 Monday, October 16, 2017 7703 Optimization Results Parameter Estimates Gradient Objective N Parameter Estimate Function 1 X1 3.480000 0 2 X2 0.336000 0 3 X3 0.118000 0 4 X4 0.012500 0 5 X5 0.051000 0 6 X6 0.001250 0 7 X7 0.310000 0 8 X8 0.000000100 0 9 X9 0.000000100 0 10 X10 0.000000100 0 11 X11 0.000000100 0 12 X12 0.000000100 0 Value of Objective Function = -9268645.165 The SAS System 07:46 Monday, October 16, 2017 7704 Optimization Start Parameter Estimates Gradient Lower Upper Objective Bound Bound N Parameter Estimate Function Constraint Constraint 1 X1 3.480000 0 0 1E300 2 X2 0.336000 0 0 1E300 3 X3 0.118000 0 -1E300 1E300 4 X4 0.012500 0 -1E300 1E300 5 X5 0.051000 0 0 1E300 6 X6 0.011250 0 -1E300 1E300 7 X7 0.290000 0 -1.000000 1.000000 8 X8 0.000000100 0 1E-9 1E300 9 X9 0.000000100 0 1E-9 1E300 10 X10 0.000000100 0 1E-9 1E300 11 X11 0.000000100 0 . . 12 X12 0.000000100 0 . . Value of Objective Function = -9268645.142 The SAS System 07:46 Monday, October 16, 2017 7705 Dual Quasi-Newton Optimization Minimum Iterations 0 Maximum Iterations 2000 Maximum Function Calls 5000 ABSGCONV Gradient Criterion 0.00001 GCONV Gradient Criterion 1E-8 ABSFCONV Function Criterion 0 FCONV Function Criterion 2.220446E-16 FCONV2 Function Criterion 0 FSIZE Parameter 0 ABSXCONV Parameter Change Criterion 0 XCONV Parameter Change Criterion 0 XSIZE Parameter 0 ABSCONV Function Criterion 1.340781E154 Line Search Method 2 Starting Alpha for Line Search 1 Line Search Precision LSPRECISION 0.4 DAMPSTEP Parameter for Line Search . MAXSTEP Parameter for Line Search 0 FD Derivatives: Accurate Digits in Obj.F 15.653559775 Singularity Tolerance (SINGULAR) 1E-8 Constraint Precision (LCEPS) 1E-8 Linearly Dependent Constraints (LCSING) 1E-8 Releasing Active Constraints (LCDEACT) . Dual Quasi-Newton Optimization Dual Broyden - Fletcher - Goldfarb - Shanno Update (DBFGS) Gradient Computed by Finite Differences Parameter Estimates 12 Lower Bounds 10 Upper Bounds 10 Optimization Start Active Constraints 0 Objective Function -9268645.142 Max Abs Gradient Element 0 Optimization Results Iterations 0 Function Calls 2 Gradient Calls 2 Active Constraints 0 Objective Function -9268645.142 Max Abs Gradient Element 0 Slope of Search Direction 0 ABSGCONV convergence criterion satisfied. The SAS System 07:46 Monday, October 16, 2017 7706 Optimization Results Parameter Estimates Gradient Objective N Parameter Estimate Function 1 X1 3.480000 0 2 X2 0.336000 0 3 X3 0.118000 0 4 X4 0.012500 0 5 X5 0.051000 0 6 X6 0.011250 0 7 X7 0.290000 0 8 X8 0.000000100 0 9 X9 0.000000100 0 10 X10 0.000000100 0 11 X11 0.000000100 0 12 X12 0.000000100 0 Value of Objective Function = -9268645.142 The SAS System 07:46 Monday, October 16, 2017 7707 Optimization Start Parameter Estimates Gradient Lower Upper Objective Bound Bound N Parameter Estimate Function Constraint Constraint 1 X1 3.480000 0 0 1E300 2 X2 0.336000 0 0 1E300 3 X3 0.118000 0 -1E300 1E300 4 X4 0.012500 0 -1E300 1E300 5 X5 0.051000 0 0 1E300 6 X6 0.011250 0 -1E300 1E300 7 X7 0.310000 0 -1.000000 1.000000 8 X8 0.000000100 0 1E-9 1E300 9 X9 0.000000100 0 1E-9 1E300 10 X10 0.000000100 0 1E-9 1E300 11 X11 0.000000100 0 . . 12 X12 0.000000100 0 . . Value of Objective Function = -9268645.141 The SAS System 07:46 Monday, October 16, 2017 7708 Dual Quasi-Newton Optimization Minimum Iterations 0 Maximum Iterations 2000 Maximum Function Calls 5000 ABSGCONV Gradient Criterion 0.00001 GCONV Gradient Criterion 1E-8 ABSFCONV Function Criterion 0 FCONV Function Criterion 2.220446E-16 FCONV2 Function Criterion 0 FSIZE Parameter 0 ABSXCONV Parameter Change Criterion 0 XCONV Parameter Change Criterion 0 XSIZE Parameter 0 ABSCONV Function Criterion 1.340781E154 Line Search Method 2 Starting Alpha for Line Search 1 Line Search Precision LSPRECISION 0.4 DAMPSTEP Parameter for Line Search . MAXSTEP Parameter for Line Search 0 FD Derivatives: Accurate Digits in Obj.F 15.653559775 Singularity Tolerance (SINGULAR) 1E-8 Constraint Precision (LCEPS) 1E-8 Linearly Dependent Constraints (LCSING) 1E-8 Releasing Active Constraints (LCDEACT) . Dual Quasi-Newton Optimization Dual Broyden - Fletcher - Goldfarb - Shanno Update (DBFGS) Gradient Computed by Finite Differences Parameter Estimates 12 Lower Bounds 10 Upper Bounds 10 Optimization Start Active Constraints 0 Objective Function -9268645.141 Max Abs Gradient Element 0 Optimization Results Iterations 0 Function Calls 2 Gradient Calls 2 Active Constraints 0 Objective Function -9268645.141 Max Abs Gradient Element 0 Slope of Search Direction 0 ABSGCONV convergence criterion satisfied. The SAS System 07:46 Monday, October 16, 2017 7709 Optimization Results Parameter Estimates Gradient Objective N Parameter Estimate Function 1 X1 3.480000 0 2 X2 0.336000 0 3 X3 0.118000 0 4 X4 0.012500 0 5 X5 0.051000 0 6 X6 0.011250 0 7 X7 0.310000 0 8 X8 0.000000100 0 9 X9 0.000000100 0 10 X10 0.000000100 0 11 X11 0.000000100 0 12 X12 0.000000100 0 Value of Objective Function = -9268645.141 The SAS System 07:46 Monday, October 16, 2017 7710 Optimization Start Parameter Estimates Gradient Lower Upper Objective Bound Bound N Parameter Estimate Function Constraint Constraint 1 X1 3.480000 0 0 1E300 2 X2 0.336000 0 0 1E300 3 X3 0.118000 0 -1E300 1E300 4 X4 0.012500 0 -1E300 1E300 5 X5 0.101000 0 0 1E300 6 X6 0.001250 0 -1E300 1E300 7 X7 0.290000 0 -1.000000 1.000000 8 X8 0.000000100 0 1E-9 1E300 9 X9 0.000000100 0 1E-9 1E300 10 X10 0.000000100 0 1E-9 1E300 11 X11 0.000000100 0 . . 12 X12 0.000000100 0 . . Value of Objective Function = -9268645.152 The SAS System 07:46 Monday, October 16, 2017 7711 Dual Quasi-Newton Optimization Minimum Iterations 0 Maximum Iterations 2000 Maximum Function Calls 5000 ABSGCONV Gradient Criterion 0.00001 GCONV Gradient Criterion 1E-8 ABSFCONV Function Criterion 0 FCONV Function Criterion 2.220446E-16 FCONV2 Function Criterion 0 FSIZE Parameter 0 ABSXCONV Parameter Change Criterion 0 XCONV Parameter Change Criterion 0 XSIZE Parameter 0 ABSCONV Function Criterion 1.340781E154 Line Search Method 2 Starting Alpha for Line Search 1 Line Search Precision LSPRECISION 0.4 DAMPSTEP Parameter for Line Search . MAXSTEP Parameter for Line Search 0 FD Derivatives: Accurate Digits in Obj.F 15.653559775 Singularity Tolerance (SINGULAR) 1E-8 Constraint Precision (LCEPS) 1E-8 Linearly Dependent Constraints (LCSING) 1E-8 Releasing Active Constraints (LCDEACT) . Dual Quasi-Newton Optimization Dual Broyden - Fletcher - Goldfarb - Shanno Update (DBFGS) Gradient Computed by Finite Differences Parameter Estimates 12 Lower Bounds 10 Upper Bounds 10 Optimization Start Active Constraints 0 Objective Function -9268645.152 Max Abs Gradient Element 0 Optimization Results Iterations 0 Function Calls 2 Gradient Calls 2 Active Constraints 0 Objective Function -9268645.152 Max Abs Gradient Element 0 Slope of Search Direction 0 ABSGCONV convergence criterion satisfied. The SAS System 07:46 Monday, October 16, 2017 7712 Optimization Results Parameter Estimates Gradient Objective N Parameter Estimate Function 1 X1 3.480000 0 2 X2 0.336000 0 3 X3 0.118000 0 4 X4 0.012500 0 5 X5 0.101000 0 6 X6 0.001250 0 7 X7 0.290000 0 8 X8 0.000000100 0 9 X9 0.000000100 0 10 X10 0.000000100 0 11 X11 0.000000100 0 12 X12 0.000000100 0 Value of Objective Function = -9268645.152 The SAS System 07:46 Monday, October 16, 2017 7713 Optimization Start Parameter Estimates Gradient Lower Upper Objective Bound Bound N Parameter Estimate Function Constraint Constraint 1 X1 3.480000 0 0 1E300 2 X2 0.336000 0 0 1E300 3 X3 0.118000 0 -1E300 1E300 4 X4 0.012500 0 -1E300 1E300 5 X5 0.101000 0 0 1E300 6 X6 0.001250 0 -1E300 1E300 7 X7 0.310000 0 -1.000000 1.000000 8 X8 0.000000100 0 1E-9 1E300 9 X9 0.000000100 0 1E-9 1E300 10 X10 0.000000100 0 1E-9 1E300 11 X11 0.000000100 0 . . 12 X12 0.000000100 0 . . Value of Objective Function = -9268645.151 The SAS System 07:46 Monday, October 16, 2017 7714 Dual Quasi-Newton Optimization Minimum Iterations 0 Maximum Iterations 2000 Maximum Function Calls 5000 ABSGCONV Gradient Criterion 0.00001 GCONV Gradient Criterion 1E-8 ABSFCONV Function Criterion 0 FCONV Function Criterion 2.220446E-16 FCONV2 Function Criterion 0 FSIZE Parameter 0 ABSXCONV Parameter Change Criterion 0 XCONV Parameter Change Criterion 0 XSIZE Parameter 0 ABSCONV Function Criterion 1.340781E154 Line Search Method 2 Starting Alpha for Line Search 1 Line Search Precision LSPRECISION 0.4 DAMPSTEP Parameter for Line Search . MAXSTEP Parameter for Line Search 0 FD Derivatives: Accurate Digits in Obj.F 15.653559775 Singularity Tolerance (SINGULAR) 1E-8 Constraint Precision (LCEPS) 1E-8 Linearly Dependent Constraints (LCSING) 1E-8 Releasing Active Constraints (LCDEACT) . Dual Quasi-Newton Optimization Dual Broyden - Fletcher - Goldfarb - Shanno Update (DBFGS) Gradient Computed by Finite Differences Parameter Estimates 12 Lower Bounds 10 Upper Bounds 10 Optimization Start Active Constraints 0 Objective Function -9268645.151 Max Abs Gradient Element 0 Optimization Results Iterations 0 Function Calls 2 Gradient Calls 2 Active Constraints 0 Objective Function -9268645.151 Max Abs Gradient Element 0 Slope of Search Direction 0 ABSGCONV convergence criterion satisfied. The SAS System 07:46 Monday, October 16, 2017 7715 Optimization Results Parameter Estimates Gradient Objective N Parameter Estimate Function 1 X1 3.480000 0 2 X2 0.336000 0 3 X3 0.118000 0 4 X4 0.012500 0 5 X5 0.101000 0 6 X6 0.001250 0 7 X7 0.310000 0 8 X8 0.000000100 0 9 X9 0.000000100 0 10 X10 0.000000100 0 11 X11 0.000000100 0 12 X12 0.000000100 0 Value of Objective Function = -9268645.151 The SAS System 07:46 Monday, October 16, 2017 7716 Optimization Start Parameter Estimates Gradient Lower Upper Objective Bound Bound N Parameter Estimate Function Constraint Constraint 1 X1 3.480000 0 0 1E300 2 X2 0.336000 0 0 1E300 3 X3 0.118000 0 -1E300 1E300 4 X4 0.012500 0 -1E300 1E300 5 X5 0.101000 0 0 1E300 6 X6 0.011250 0 -1E300 1E300 7 X7 0.290000 0 -1.000000 1.000000 8 X8 0.000000100 0 1E-9 1E300 9 X9 0.000000100 0 1E-9 1E300 10 X10 0.000000100 0 1E-9 1E300 11 X11 0.000000100 0 . . 12 X12 0.000000100 0 . . Value of Objective Function = -9268645.135 The SAS System 07:46 Monday, October 16, 2017 7717 Dual Quasi-Newton Optimization Minimum Iterations 0 Maximum Iterations 2000 Maximum Function Calls 5000 ABSGCONV Gradient Criterion 0.00001 GCONV Gradient Criterion 1E-8 ABSFCONV Function Criterion 0 FCONV Function Criterion 2.220446E-16 FCONV2 Function Criterion 0 FSIZE Parameter 0 ABSXCONV Parameter Change Criterion 0 XCONV Parameter Change Criterion 0 XSIZE Parameter 0 ABSCONV Function Criterion 1.340781E154 Line Search Method 2 Starting Alpha for Line Search 1 Line Search Precision LSPRECISION 0.4 DAMPSTEP Parameter for Line Search . MAXSTEP Parameter for Line Search 0 FD Derivatives: Accurate Digits in Obj.F 15.653559775 Singularity Tolerance (SINGULAR) 1E-8 Constraint Precision (LCEPS) 1E-8 Linearly Dependent Constraints (LCSING) 1E-8 Releasing Active Constraints (LCDEACT) . Dual Quasi-Newton Optimization Dual Broyden - Fletcher - Goldfarb - Shanno Update (DBFGS) Gradient Computed by Finite Differences Parameter Estimates 12 Lower Bounds 10 Upper Bounds 10 Optimization Start Active Constraints 0 Objective Function -9268645.135 Max Abs Gradient Element 0 Optimization Results Iterations 0 Function Calls 2 Gradient Calls 2 Active Constraints 0 Objective Function -9268645.135 Max Abs Gradient Element 0 Slope of Search Direction 0 ABSGCONV convergence criterion satisfied. The SAS System 07:46 Monday, October 16, 2017 7718 Optimization Results Parameter Estimates Gradient Objective N Parameter Estimate Function 1 X1 3.480000 0 2 X2 0.336000 0 3 X3 0.118000 0 4 X4 0.012500 0 5 X5 0.101000 0 6 X6 0.011250 0 7 X7 0.290000 0 8 X8 0.000000100 0 9 X9 0.000000100 0 10 X10 0.000000100 0 11 X11 0.000000100 0 12 X12 0.000000100 0 Value of Objective Function = -9268645.135 The SAS System 07:46 Monday, October 16, 2017 7719 Optimization Start Parameter Estimates Gradient Lower Upper Objective Bound Bound N Parameter Estimate Function Constraint Constraint 1 X1 3.480000 0 0 1E300 2 X2 0.336000 0 0 1E300 3 X3 0.118000 0 -1E300 1E300 4 X4 0.012500 0 -1E300 1E300 5 X5 0.101000 0 0 1E300 6 X6 0.011250 0 -1E300 1E300 7 X7 0.310000 0 -1.000000 1.000000 8 X8 0.000000100 0 1E-9 1E300 9 X9 0.000000100 0 1E-9 1E300 10 X10 0.000000100 0 1E-9 1E300 11 X11 0.000000100 0 . . 12 X12 0.000000100 0 . . Value of Objective Function = -9268645.135 The SAS System 07:46 Monday, October 16, 2017 7720 Dual Quasi-Newton Optimization Minimum Iterations 0 Maximum Iterations 2000 Maximum Function Calls 5000 ABSGCONV Gradient Criterion 0.00001 GCONV Gradient Criterion 1E-8 ABSFCONV Function Criterion 0 FCONV Function Criterion 2.220446E-16 FCONV2 Function Criterion 0 FSIZE Parameter 0 ABSXCONV Parameter Change Criterion 0 XCONV Parameter Change Criterion 0 XSIZE Parameter 0 ABSCONV Function Criterion 1.340781E154 Line Search Method 2 Starting Alpha for Line Search 1 Line Search Precision LSPRECISION 0.4 DAMPSTEP Parameter for Line Search . MAXSTEP Parameter for Line Search 0 FD Derivatives: Accurate Digits in Obj.F 15.653559775 Singularity Tolerance (SINGULAR) 1E-8 Constraint Precision (LCEPS) 1E-8 Linearly Dependent Constraints (LCSING) 1E-8 Releasing Active Constraints (LCDEACT) . Dual Quasi-Newton Optimization Dual Broyden - Fletcher - Goldfarb - Shanno Update (DBFGS) Gradient Computed by Finite Differences Parameter Estimates 12 Lower Bounds 10 Upper Bounds 10 Optimization Start Active Constraints 0 Objective Function -9268645.135 Max Abs Gradient Element 0 Optimization Results Iterations 0 Function Calls 2 Gradient Calls 2 Active Constraints 0 Objective Function -9268645.135 Max Abs Gradient Element 0 Slope of Search Direction 0 ABSGCONV convergence criterion satisfied. The SAS System 07:46 Monday, October 16, 2017 7721 Optimization Results Parameter Estimates Gradient Objective N Parameter Estimate Function 1 X1 3.480000 0 2 X2 0.336000 0 3 X3 0.118000 0 4 X4 0.012500 0 5 X5 0.101000 0 6 X6 0.011250 0 7 X7 0.310000 0 8 X8 0.000000100 0 9 X9 0.000000100 0 10 X10 0.000000100 0 11 X11 0.000000100 0 12 X12 0.000000100 0 Value of Objective Function = -9268645.135 The SAS System 07:46 Monday, October 16, 2017 7722 Optimization Start Parameter Estimates Gradient Lower Upper Objective Bound Bound N Parameter Estimate Function Constraint Constraint 1 X1 3.480000 0 0 1E300 2 X2 0.336000 0 0 1E300 3 X3 0.118000 0 -1E300 1E300 4 X4 0.012500 0 -1E300 1E300 5 X5 0.151000 0 0 1E300 6 X6 0.001250 0 -1E300 1E300 7 X7 0.290000 0 -1.000000 1.000000 8 X8 0.000000100 0 1E-9 1E300 9 X9 0.000000100 0 1E-9 1E300 10 X10 0.000000100 0 1E-9 1E300 11 X11 0.000000100 0 . . 12 X12 0.000000100 0 . . Value of Objective Function = -9268645.138 The SAS System 07:46 Monday, October 16, 2017 7723 Dual Quasi-Newton Optimization Minimum Iterations 0 Maximum Iterations 2000 Maximum Function Calls 5000 ABSGCONV Gradient Criterion 0.00001 GCONV Gradient Criterion 1E-8 ABSFCONV Function Criterion 0 FCONV Function Criterion 2.220446E-16 FCONV2 Function Criterion 0 FSIZE Parameter 0 ABSXCONV Parameter Change Criterion 0 XCONV Parameter Change Criterion 0 XSIZE Parameter 0 ABSCONV Function Criterion 1.340781E154 Line Search Method 2 Starting Alpha for Line Search 1 Line Search Precision LSPRECISION 0.4 DAMPSTEP Parameter for Line Search . MAXSTEP Parameter for Line Search 0 FD Derivatives: Accurate Digits in Obj.F 15.653559775 Singularity Tolerance (SINGULAR) 1E-8 Constraint Precision (LCEPS) 1E-8 Linearly Dependent Constraints (LCSING) 1E-8 Releasing Active Constraints (LCDEACT) . Dual Quasi-Newton Optimization Dual Broyden - Fletcher - Goldfarb - Shanno Update (DBFGS) Gradient Computed by Finite Differences Parameter Estimates 12 Lower Bounds 10 Upper Bounds 10 Optimization Start Active Constraints 0 Objective Function -9268645.138 Max Abs Gradient Element 0 Optimization Results Iterations 0 Function Calls 2 Gradient Calls 2 Active Constraints 0 Objective Function -9268645.138 Max Abs Gradient Element 0 Slope of Search Direction 0 ABSGCONV convergence criterion satisfied. The SAS System 07:46 Monday, October 16, 2017 7724 Optimization Results Parameter Estimates Gradient Objective N Parameter Estimate Function 1 X1 3.480000 0 2 X2 0.336000 0 3 X3 0.118000 0 4 X4 0.012500 0 5 X5 0.151000 0 6 X6 0.001250 0 7 X7 0.290000 0 8 X8 0.000000100 0 9 X9 0.000000100 0 10 X10 0.000000100 0 11 X11 0.000000100 0 12 X12 0.000000100 0 Value of Objective Function = -9268645.138 The SAS System 07:46 Monday, October 16, 2017 7725 Optimization Start Parameter Estimates Gradient Lower Upper Objective Bound Bound N Parameter Estimate Function Constraint Constraint 1 X1 3.480000 0 0 1E300 2 X2 0.336000 0 0 1E300 3 X3 0.118000 0 -1E300 1E300 4 X4 0.012500 0 -1E300 1E300 5 X5 0.151000 0 0 1E300 6 X6 0.001250 0 -1E300 1E300 7 X7 0.310000 0 -1.000000 1.000000 8 X8 0.000000100 0 1E-9 1E300 9 X9 0.000000100 0 1E-9 1E300 10 X10 0.000000100 0 1E-9 1E300 11 X11 0.000000100 0 . . 12 X12 0.000000100 0 . . Value of Objective Function = -9268645.138 The SAS System 07:46 Monday, October 16, 2017 7726 Dual Quasi-Newton Optimization Minimum Iterations 0 Maximum Iterations 2000 Maximum Function Calls 5000 ABSGCONV Gradient Criterion 0.00001 GCONV Gradient Criterion 1E-8 ABSFCONV Function Criterion 0 FCONV Function Criterion 2.220446E-16 FCONV2 Function Criterion 0 FSIZE Parameter 0 ABSXCONV Parameter Change Criterion 0 XCONV Parameter Change Criterion 0 XSIZE Parameter 0 ABSCONV Function Criterion 1.340781E154 Line Search Method 2 Starting Alpha for Line Search 1 Line Search Precision LSPRECISION 0.4 DAMPSTEP Parameter for Line Search . MAXSTEP Parameter for Line Search 0 FD Derivatives: Accurate Digits in Obj.F 15.653559775 Singularity Tolerance (SINGULAR) 1E-8 Constraint Precision (LCEPS) 1E-8 Linearly Dependent Constraints (LCSING) 1E-8 Releasing Active Constraints (LCDEACT) . Dual Quasi-Newton Optimization Dual Broyden - Fletcher - Goldfarb - Shanno Update (DBFGS) Gradient Computed by Finite Differences Parameter Estimates 12 Lower Bounds 10 Upper Bounds 10 Optimization Start Active Constraints 0 Objective Function -9268645.138 Max Abs Gradient Element 0 Optimization Results Iterations 0 Function Calls 2 Gradient Calls 2 Active Constraints 0 Objective Function -9268645.138 Max Abs Gradient Element 0 Slope of Search Direction 0 ABSGCONV convergence criterion satisfied. The SAS System 07:46 Monday, October 16, 2017 7727 Optimization Results Parameter Estimates Gradient Objective N Parameter Estimate Function 1 X1 3.480000 0 2 X2 0.336000 0 3 X3 0.118000 0 4 X4 0.012500 0 5 X5 0.151000 0 6 X6 0.001250 0 7 X7 0.310000 0 8 X8 0.000000100 0 9 X9 0.000000100 0 10 X10 0.000000100 0 11 X11 0.000000100 0 12 X12 0.000000100 0 Value of Objective Function = -9268645.138 The SAS System 07:46 Monday, October 16, 2017 7728 Optimization Start Parameter Estimates Gradient Lower Upper Objective Bound Bound N Parameter Estimate Function Constraint Constraint 1 X1 3.480000 0 0 1E300 2 X2 0.336000 0 0 1E300 3 X3 0.118000 0 -1E300 1E300 4 X4 0.012500 0 -1E300 1E300 5 X5 0.151000 0 0 1E300 6 X6 0.011250 0 -1E300 1E300 7 X7 0.290000 0 -1.000000 1.000000 8 X8 0.000000100 0 1E-9 1E300 9 X9 0.000000100 0 1E-9 1E300 10 X10 0.000000100 0 1E-9 1E300 11 X11 0.000000100 0 . . 12 X12 0.000000100 0 . . Value of Objective Function = -9268645.133 The SAS System 07:46 Monday, October 16, 2017 7729 Dual Quasi-Newton Optimization Minimum Iterations 0 Maximum Iterations 2000 Maximum Function Calls 5000 ABSGCONV Gradient Criterion 0.00001 GCONV Gradient Criterion 1E-8 ABSFCONV Function Criterion 0 FCONV Function Criterion 2.220446E-16 FCONV2 Function Criterion 0 FSIZE Parameter 0 ABSXCONV Parameter Change Criterion 0 XCONV Parameter Change Criterion 0 XSIZE Parameter 0 ABSCONV Function Criterion 1.340781E154 Line Search Method 2 Starting Alpha for Line Search 1 Line Search Precision LSPRECISION 0.4 DAMPSTEP Parameter for Line Search . MAXSTEP Parameter for Line Search 0 FD Derivatives: Accurate Digits in Obj.F 15.653559775 Singularity Tolerance (SINGULAR) 1E-8 Constraint Precision (LCEPS) 1E-8 Linearly Dependent Constraints (LCSING) 1E-8 Releasing Active Constraints (LCDEACT) . Dual Quasi-Newton Optimization Dual Broyden - Fletcher - Goldfarb - Shanno Update (DBFGS) Gradient Computed by Finite Differences Parameter Estimates 12 Lower Bounds 10 Upper Bounds 10 Optimization Start Active Constraints 0 Objective Function -9268645.133 Max Abs Gradient Element 0 Optimization Results Iterations 0 Function Calls 2 Gradient Calls 2 Active Constraints 0 Objective Function -9268645.133 Max Abs Gradient Element 0 Slope of Search Direction 0 ABSGCONV convergence criterion satisfied. The SAS System 07:46 Monday, October 16, 2017 7730 Optimization Results Parameter Estimates Gradient Objective N Parameter Estimate Function 1 X1 3.480000 0 2 X2 0.336000 0 3 X3 0.118000 0 4 X4 0.012500 0 5 X5 0.151000 0 6 X6 0.011250 0 7 X7 0.290000 0 8 X8 0.000000100 0 9 X9 0.000000100 0 10 X10 0.000000100 0 11 X11 0.000000100 0 12 X12 0.000000100 0 Value of Objective Function = -9268645.133 The SAS System 07:46 Monday, October 16, 2017 7731 Optimization Start Parameter Estimates Gradient Lower Upper Objective Bound Bound N Parameter Estimate Function Constraint Constraint 1 X1 3.480000 0 0 1E300 2 X2 0.336000 0 0 1E300 3 X3 0.118000 0 -1E300 1E300 4 X4 0.012500 0 -1E300 1E300 5 X5 0.151000 0 0 1E300 6 X6 0.011250 0 -1E300 1E300 7 X7 0.310000 0 -1.000000 1.000000 8 X8 0.000000100 0 1E-9 1E300 9 X9 0.000000100 0 1E-9 1E300 10 X10 0.000000100 0 1E-9 1E300 11 X11 0.000000100 0 . . 12 X12 0.000000100 0 . . Value of Objective Function = -9268645.133 The SAS System 07:46 Monday, October 16, 2017 7732 Dual Quasi-Newton Optimization Minimum Iterations 0 Maximum Iterations 2000 Maximum Function Calls 5000 ABSGCONV Gradient Criterion 0.00001 GCONV Gradient Criterion 1E-8 ABSFCONV Function Criterion 0 FCONV Function Criterion 2.220446E-16 FCONV2 Function Criterion 0 FSIZE Parameter 0 ABSXCONV Parameter Change Criterion 0 XCONV Parameter Change Criterion 0 XSIZE Parameter 0 ABSCONV Function Criterion 1.340781E154 Line Search Method 2 Starting Alpha for Line Search 1 Line Search Precision LSPRECISION 0.4 DAMPSTEP Parameter for Line Search . MAXSTEP Parameter for Line Search 0 FD Derivatives: Accurate Digits in Obj.F 15.653559775 Singularity Tolerance (SINGULAR) 1E-8 Constraint Precision (LCEPS) 1E-8 Linearly Dependent Constraints (LCSING) 1E-8 Releasing Active Constraints (LCDEACT) . Dual Quasi-Newton Optimization Dual Broyden - Fletcher - Goldfarb - Shanno Update (DBFGS) Gradient Computed by Finite Differences Parameter Estimates 12 Lower Bounds 10 Upper Bounds 10 Optimization Start Active Constraints 0 Objective Function -9268645.133 Max Abs Gradient Element 0 Optimization Results Iterations 0 Function Calls 2 Gradient Calls 2 Active Constraints 0 Objective Function -9268645.133 Max Abs Gradient Element 0 Slope of Search Direction 0 ABSGCONV convergence criterion satisfied. The SAS System 07:46 Monday, October 16, 2017 7733 Optimization Results Parameter Estimates Gradient Objective N Parameter Estimate Function 1 X1 3.480000 0 2 X2 0.336000 0 3 X3 0.118000 0 4 X4 0.012500 0 5 X5 0.151000 0 6 X6 0.011250 0 7 X7 0.310000 0 8 X8 0.000000100 0 9 X9 0.000000100 0 10 X10 0.000000100 0 11 X11 0.000000100 0 12 X12 0.000000100 0 Value of Objective Function = -9268645.133 The SAS System 07:46 Monday, October 16, 2017 7734 Optimization Start Parameter Estimates Gradient Lower Upper Objective Bound Bound N Parameter Estimate Function Constraint Constraint 1 X1 3.480000 0 0 1E300 2 X2 0.336000 0 0 1E300 3 X3 0.158000 0 -1E300 1E300 4 X4 -0.022500 0 -1E300 1E300 5 X5 0.001000 0 0 1E300 6 X6 0.001250 0 -1E300 1E300 7 X7 0.290000 0 -1.000000 1.000000 8 X8 0.000000100 0 1E-9 1E300 9 X9 0.000000100 0 1E-9 1E300 10 X10 0.000000100 0 1E-9 1E300 11 X11 0.000000100 0 . . 12 X12 0.000000100 0 . . Value of Objective Function = -9268645.21 The SAS System 07:46 Monday, October 16, 2017 7735 Dual Quasi-Newton Optimization Minimum Iterations 0 Maximum Iterations 2000 Maximum Function Calls 5000 ABSGCONV Gradient Criterion 0.00001 GCONV Gradient Criterion 1E-8 ABSFCONV Function Criterion 0 FCONV Function Criterion 2.220446E-16 FCONV2 Function Criterion 0 FSIZE Parameter 0 ABSXCONV Parameter Change Criterion 0 XCONV Parameter Change Criterion 0 XSIZE Parameter 0 ABSCONV Function Criterion 1.340781E154 Line Search Method 2 Starting Alpha for Line Search 1 Line Search Precision LSPRECISION 0.4 DAMPSTEP Parameter for Line Search . MAXSTEP Parameter for Line Search 0 FD Derivatives: Accurate Digits in Obj.F 15.653559775 Singularity Tolerance (SINGULAR) 1E-8 Constraint Precision (LCEPS) 1E-8 Linearly Dependent Constraints (LCSING) 1E-8 Releasing Active Constraints (LCDEACT) . Dual Quasi-Newton Optimization Dual Broyden - Fletcher - Goldfarb - Shanno Update (DBFGS) Gradient Computed by Finite Differences Parameter Estimates 12 Lower Bounds 10 Upper Bounds 10 Optimization Start Active Constraints 0 Objective Function -9268645.21 Max Abs Gradient Element 0 Optimization Results Iterations 0 Function Calls 2 Gradient Calls 2 Active Constraints 0 Objective Function -9268645.21 Max Abs Gradient Element 0 Slope of Search Direction 0 ABSGCONV convergence criterion satisfied. The SAS System 07:46 Monday, October 16, 2017 7736 Optimization Results Parameter Estimates Gradient Objective N Parameter Estimate Function 1 X1 3.480000 0 2 X2 0.336000 0 3 X3 0.158000 0 4 X4 -0.022500 0 5 X5 0.001000 0 6 X6 0.001250 0 7 X7 0.290000 0 8 X8 0.000000100 0 9 X9 0.000000100 0 10 X10 0.000000100 0 11 X11 0.000000100 0 12 X12 0.000000100 0 Value of Objective Function = -9268645.21 The SAS System 07:46 Monday, October 16, 2017 7737 Optimization Start Parameter Estimates Gradient Lower Upper Objective Bound Bound N Parameter Estimate Function Constraint Constraint 1 X1 3.480000 0 0 1E300 2 X2 0.336000 0 0 1E300 3 X3 0.158000 0 -1E300 1E300 4 X4 -0.022500 0 -1E300 1E300 5 X5 0.001000 0 0 1E300 6 X6 0.001250 0 -1E300 1E300 7 X7 0.310000 0 -1.000000 1.000000 8 X8 0.000000100 0 1E-9 1E300 9 X9 0.000000100 0 1E-9 1E300 10 X10 0.000000100 0 1E-9 1E300 11 X11 0.000000100 0 . . 12 X12 0.000000100 0 . . Value of Objective Function = -9268645.21 The SAS System 07:46 Monday, October 16, 2017 7738 Dual Quasi-Newton Optimization Minimum Iterations 0 Maximum Iterations 2000 Maximum Function Calls 5000 ABSGCONV Gradient Criterion 0.00001 GCONV Gradient Criterion 1E-8 ABSFCONV Function Criterion 0 FCONV Function Criterion 2.220446E-16 FCONV2 Function Criterion 0 FSIZE Parameter 0 ABSXCONV Parameter Change Criterion 0 XCONV Parameter Change Criterion 0 XSIZE Parameter 0 ABSCONV Function Criterion 1.340781E154 Line Search Method 2 Starting Alpha for Line Search 1 Line Search Precision LSPRECISION 0.4 DAMPSTEP Parameter for Line Search . MAXSTEP Parameter for Line Search 0 FD Derivatives: Accurate Digits in Obj.F 15.653559775 Singularity Tolerance (SINGULAR) 1E-8 Constraint Precision (LCEPS) 1E-8 Linearly Dependent Constraints (LCSING) 1E-8 Releasing Active Constraints (LCDEACT) . Dual Quasi-Newton Optimization Dual Broyden - Fletcher - Goldfarb - Shanno Update (DBFGS) Gradient Computed by Finite Differences Parameter Estimates 12 Lower Bounds 10 Upper Bounds 10 Optimization Start Active Constraints 0 Objective Function -9268645.21 Max Abs Gradient Element 0 Optimization Results Iterations 0 Function Calls 2 Gradient Calls 2 Active Constraints 0 Objective Function -9268645.21 Max Abs Gradient Element 0 Slope of Search Direction 0 ABSGCONV convergence criterion satisfied. The SAS System 07:46 Monday, October 16, 2017 7739 Optimization Results Parameter Estimates Gradient Objective N Parameter Estimate Function 1 X1 3.480000 0 2 X2 0.336000 0 3 X3 0.158000 0 4 X4 -0.022500 0 5 X5 0.001000 0 6 X6 0.001250 0 7 X7 0.310000 0 8 X8 0.000000100 0 9 X9 0.000000100 0 10 X10 0.000000100 0 11 X11 0.000000100 0 12 X12 0.000000100 0 Value of Objective Function = -9268645.21 The SAS System 07:46 Monday, October 16, 2017 7740 Optimization Start Parameter Estimates Gradient Lower Upper Objective Bound Bound N Parameter Estimate Function Constraint Constraint 1 X1 3.480000 0 0 1E300 2 X2 0.336000 0 0 1E300 3 X3 0.158000 0 -1E300 1E300 4 X4 -0.022500 0 -1E300 1E300 5 X5 0.001000 0 0 1E300 6 X6 0.011250 0 -1E300 1E300 7 X7 0.290000 0 -1.000000 1.000000 8 X8 0.000000100 0 1E-9 1E300 9 X9 0.000000100 0 1E-9 1E300 10 X10 0.000000100 0 1E-9 1E300 11 X11 0.000000100 0 . . 12 X12 0.000000100 0 . . Value of Objective Function = -9268645.17 The SAS System 07:46 Monday, October 16, 2017 7741 Dual Quasi-Newton Optimization Minimum Iterations 0 Maximum Iterations 2000 Maximum Function Calls 5000 ABSGCONV Gradient Criterion 0.00001 GCONV Gradient Criterion 1E-8 ABSFCONV Function Criterion 0 FCONV Function Criterion 2.220446E-16 FCONV2 Function Criterion 0 FSIZE Parameter 0 ABSXCONV Parameter Change Criterion 0 XCONV Parameter Change Criterion 0 XSIZE Parameter 0 ABSCONV Function Criterion 1.340781E154 Line Search Method 2 Starting Alpha for Line Search 1 Line Search Precision LSPRECISION 0.4 DAMPSTEP Parameter for Line Search . MAXSTEP Parameter for Line Search 0 FD Derivatives: Accurate Digits in Obj.F 15.653559775 Singularity Tolerance (SINGULAR) 1E-8 Constraint Precision (LCEPS) 1E-8 Linearly Dependent Constraints (LCSING) 1E-8 Releasing Active Constraints (LCDEACT) . Dual Quasi-Newton Optimization Dual Broyden - Fletcher - Goldfarb - Shanno Update (DBFGS) Gradient Computed by Finite Differences Parameter Estimates 12 Lower Bounds 10 Upper Bounds 10 Optimization Start Active Constraints 0 Objective Function -9268645.17 Max Abs Gradient Element 0 Optimization Results Iterations 0 Function Calls 2 Gradient Calls 2 Active Constraints 0 Objective Function -9268645.17 Max Abs Gradient Element 0 Slope of Search Direction 0 ABSGCONV convergence criterion satisfied. The SAS System 07:46 Monday, October 16, 2017 7742 Optimization Results Parameter Estimates Gradient Objective N Parameter Estimate Function 1 X1 3.480000 0 2 X2 0.336000 0 3 X3 0.158000 0 4 X4 -0.022500 0 5 X5 0.001000 0 6 X6 0.011250 0 7 X7 0.290000 0 8 X8 0.000000100 0 9 X9 0.000000100 0 10 X10 0.000000100 0 11 X11 0.000000100 0 12 X12 0.000000100 0 Value of Objective Function = -9268645.17 The SAS System 07:46 Monday, October 16, 2017 7743 Optimization Start Parameter Estimates Gradient Lower Upper Objective Bound Bound N Parameter Estimate Function Constraint Constraint 1 X1 3.480000 0 0 1E300 2 X2 0.336000 0 0 1E300 3 X3 0.158000 0 -1E300 1E300 4 X4 -0.022500 0 -1E300 1E300 5 X5 0.001000 0 0 1E300 6 X6 0.011250 0 -1E300 1E300 7 X7 0.310000 0 -1.000000 1.000000 8 X8 0.000000100 0 1E-9 1E300 9 X9 0.000000100 0 1E-9 1E300 10 X10 0.000000100 0 1E-9 1E300 11 X11 0.000000100 0 . . 12 X12 0.000000100 0 . . Value of Objective Function = -9268645.17 The SAS System 07:46 Monday, October 16, 2017 7744 Dual Quasi-Newton Optimization Minimum Iterations 0 Maximum Iterations 2000 Maximum Function Calls 5000 ABSGCONV Gradient Criterion 0.00001 GCONV Gradient Criterion 1E-8 ABSFCONV Function Criterion 0 FCONV Function Criterion 2.220446E-16 FCONV2 Function Criterion 0 FSIZE Parameter 0 ABSXCONV Parameter Change Criterion 0 XCONV Parameter Change Criterion 0 XSIZE Parameter 0 ABSCONV Function Criterion 1.340781E154 Line Search Method 2 Starting Alpha for Line Search 1 Line Search Precision LSPRECISION 0.4 DAMPSTEP Parameter for Line Search . MAXSTEP Parameter for Line Search 0 FD Derivatives: Accurate Digits in Obj.F 15.653559775 Singularity Tolerance (SINGULAR) 1E-8 Constraint Precision (LCEPS) 1E-8 Linearly Dependent Constraints (LCSING) 1E-8 Releasing Active Constraints (LCDEACT) . Dual Quasi-Newton Optimization Dual Broyden - Fletcher - Goldfarb - Shanno Update (DBFGS) Gradient Computed by Finite Differences Parameter Estimates 12 Lower Bounds 10 Upper Bounds 10 Optimization Start Active Constraints 0 Objective Function -9268645.17 Max Abs Gradient Element 0 Optimization Results Iterations 0 Function Calls 2 Gradient Calls 2 Active Constraints 0 Objective Function -9268645.17 Max Abs Gradient Element 0 Slope of Search Direction 0 ABSGCONV convergence criterion satisfied. The SAS System 07:46 Monday, October 16, 2017 7745 Optimization Results Parameter Estimates Gradient Objective N Parameter Estimate Function 1 X1 3.480000 0 2 X2 0.336000 0 3 X3 0.158000 0 4 X4 -0.022500 0 5 X5 0.001000 0 6 X6 0.011250 0 7 X7 0.310000 0 8 X8 0.000000100 0 9 X9 0.000000100 0 10 X10 0.000000100 0 11 X11 0.000000100 0 12 X12 0.000000100 0 Value of Objective Function = -9268645.17 The SAS System 07:46 Monday, October 16, 2017 7746 Optimization Start Parameter Estimates Gradient Lower Upper Objective Bound Bound N Parameter Estimate Function Constraint Constraint 1 X1 3.480000 0 0 1E300 2 X2 0.336000 0 0 1E300 3 X3 0.158000 0 -1E300 1E300 4 X4 -0.022500 0 -1E300 1E300 5 X5 0.051000 0 0 1E300 6 X6 0.001250 0 -1E300 1E300 7 X7 0.290000 0 -1.000000 1.000000 8 X8 0.000000100 0 1E-9 1E300 9 X9 0.000000100 0 1E-9 1E300 10 X10 0.000000100 0 1E-9 1E300 11 X11 0.000000100 0 . . 12 X12 0.000000100 0 . . Value of Objective Function = -9268645.199 The SAS System 07:46 Monday, October 16, 2017 7747 Dual Quasi-Newton Optimization Minimum Iterations 0 Maximum Iterations 2000 Maximum Function Calls 5000 ABSGCONV Gradient Criterion 0.00001 GCONV Gradient Criterion 1E-8 ABSFCONV Function Criterion 0 FCONV Function Criterion 2.220446E-16 FCONV2 Function Criterion 0 FSIZE Parameter 0 ABSXCONV Parameter Change Criterion 0 XCONV Parameter Change Criterion 0 XSIZE Parameter 0 ABSCONV Function Criterion 1.340781E154 Line Search Method 2 Starting Alpha for Line Search 1 Line Search Precision LSPRECISION 0.4 DAMPSTEP Parameter for Line Search . MAXSTEP Parameter for Line Search 0 FD Derivatives: Accurate Digits in Obj.F 15.653559775 Singularity Tolerance (SINGULAR) 1E-8 Constraint Precision (LCEPS) 1E-8 Linearly Dependent Constraints (LCSING) 1E-8 Releasing Active Constraints (LCDEACT) . Dual Quasi-Newton Optimization Dual Broyden - Fletcher - Goldfarb - Shanno Update (DBFGS) Gradient Computed by Finite Differences Parameter Estimates 12 Lower Bounds 10 Upper Bounds 10 Optimization Start Active Constraints 0 Objective Function -9268645.199 Max Abs Gradient Element 0 Optimization Results Iterations 0 Function Calls 2 Gradient Calls 2 Active Constraints 0 Objective Function -9268645.199 Max Abs Gradient Element 0 Slope of Search Direction 0 ABSGCONV convergence criterion satisfied. The SAS System 07:46 Monday, October 16, 2017 7748 Optimization Results Parameter Estimates Gradient Objective N Parameter Estimate Function 1 X1 3.480000 0 2 X2 0.336000 0 3 X3 0.158000 0 4 X4 -0.022500 0 5 X5 0.051000 0 6 X6 0.001250 0 7 X7 0.290000 0 8 X8 0.000000100 0 9 X9 0.000000100 0 10 X10 0.000000100 0 11 X11 0.000000100 0 12 X12 0.000000100 0 Value of Objective Function = -9268645.199 The SAS System 07:46 Monday, October 16, 2017 7749 Optimization Start Parameter Estimates Gradient Lower Upper Objective Bound Bound N Parameter Estimate Function Constraint Constraint 1 X1 3.480000 0 0 1E300 2 X2 0.336000 0 0 1E300 3 X3 0.158000 0 -1E300 1E300 4 X4 -0.022500 0 -1E300 1E300 5 X5 0.051000 0 0 1E300 6 X6 0.001250 0 -1E300 1E300 7 X7 0.310000 0 -1.000000 1.000000 8 X8 0.000000100 0 1E-9 1E300 9 X9 0.000000100 0 1E-9 1E300 10 X10 0.000000100 0 1E-9 1E300 11 X11 0.000000100 0 . . 12 X12 0.000000100 0 . . Value of Objective Function = -9268645.198 The SAS System 07:46 Monday, October 16, 2017 7750 Dual Quasi-Newton Optimization Minimum Iterations 0 Maximum Iterations 2000 Maximum Function Calls 5000 ABSGCONV Gradient Criterion 0.00001 GCONV Gradient Criterion 1E-8 ABSFCONV Function Criterion 0 FCONV Function Criterion 2.220446E-16 FCONV2 Function Criterion 0 FSIZE Parameter 0 ABSXCONV Parameter Change Criterion 0 XCONV Parameter Change Criterion 0 XSIZE Parameter 0 ABSCONV Function Criterion 1.340781E154 Line Search Method 2 Starting Alpha for Line Search 1 Line Search Precision LSPRECISION 0.4 DAMPSTEP Parameter for Line Search . MAXSTEP Parameter for Line Search 0 FD Derivatives: Accurate Digits in Obj.F 15.653559775 Singularity Tolerance (SINGULAR) 1E-8 Constraint Precision (LCEPS) 1E-8 Linearly Dependent Constraints (LCSING) 1E-8 Releasing Active Constraints (LCDEACT) . Dual Quasi-Newton Optimization Dual Broyden - Fletcher - Goldfarb - Shanno Update (DBFGS) Gradient Computed by Finite Differences Parameter Estimates 12 Lower Bounds 10 Upper Bounds 10 Optimization Start Active Constraints 0 Objective Function -9268645.198 Max Abs Gradient Element 0 Optimization Results Iterations 0 Function Calls 2 Gradient Calls 2 Active Constraints 0 Objective Function -9268645.198 Max Abs Gradient Element 0 Slope of Search Direction 0 ABSGCONV convergence criterion satisfied. The SAS System 07:46 Monday, October 16, 2017 7751 Optimization Results Parameter Estimates Gradient Objective N Parameter Estimate Function 1 X1 3.480000 0 2 X2 0.336000 0 3 X3 0.158000 0 4 X4 -0.022500 0 5 X5 0.051000 0 6 X6 0.001250 0 7 X7 0.310000 0 8 X8 0.000000100 0 9 X9 0.000000100 0 10 X10 0.000000100 0 11 X11 0.000000100 0 12 X12 0.000000100 0 Value of Objective Function = -9268645.198 The SAS System 07:46 Monday, October 16, 2017 7752 Optimization Start Parameter Estimates Gradient Lower Upper Objective Bound Bound N Parameter Estimate Function Constraint Constraint 1 X1 3.480000 0 0 1E300 2 X2 0.336000 0 0 1E300 3 X3 0.158000 0 -1E300 1E300 4 X4 -0.022500 0 -1E300 1E300 5 X5 0.051000 0 0 1E300 6 X6 0.011250 0 -1E300 1E300 7 X7 0.290000 0 -1.000000 1.000000 8 X8 0.000000100 0 1E-9 1E300 9 X9 0.000000100 0 1E-9 1E300 10 X10 0.000000100 0 1E-9 1E300 11 X11 0.000000100 0 . . 12 X12 0.000000100 0 . . Value of Objective Function = -9268645.162 The SAS System 07:46 Monday, October 16, 2017 7753 Dual Quasi-Newton Optimization Minimum Iterations 0 Maximum Iterations 2000 Maximum Function Calls 5000 ABSGCONV Gradient Criterion 0.00001 GCONV Gradient Criterion 1E-8 ABSFCONV Function Criterion 0 FCONV Function Criterion 2.220446E-16 FCONV2 Function Criterion 0 FSIZE Parameter 0 ABSXCONV Parameter Change Criterion 0 XCONV Parameter Change Criterion 0 XSIZE Parameter 0 ABSCONV Function Criterion 1.340781E154 Line Search Method 2 Starting Alpha for Line Search 1 Line Search Precision LSPRECISION 0.4 DAMPSTEP Parameter for Line Search . MAXSTEP Parameter for Line Search 0 FD Derivatives: Accurate Digits in Obj.F 15.653559775 Singularity Tolerance (SINGULAR) 1E-8 Constraint Precision (LCEPS) 1E-8 Linearly Dependent Constraints (LCSING) 1E-8 Releasing Active Constraints (LCDEACT) . Dual Quasi-Newton Optimization Dual Broyden - Fletcher - Goldfarb - Shanno Update (DBFGS) Gradient Computed by Finite Differences Parameter Estimates 12 Lower Bounds 10 Upper Bounds 10 Optimization Start Active Constraints 0 Objective Function -9268645.162 Max Abs Gradient Element 0 Optimization Results Iterations 0 Function Calls 2 Gradient Calls 2 Active Constraints 0 Objective Function -9268645.162 Max Abs Gradient Element 0 Slope of Search Direction 0 ABSGCONV convergence criterion satisfied. The SAS System 07:46 Monday, October 16, 2017 7754 Optimization Results Parameter Estimates Gradient Objective N Parameter Estimate Function 1 X1 3.480000 0 2 X2 0.336000 0 3 X3 0.158000 0 4 X4 -0.022500 0 5 X5 0.051000 0 6 X6 0.011250 0 7 X7 0.290000 0 8 X8 0.000000100 0 9 X9 0.000000100 0 10 X10 0.000000100 0 11 X11 0.000000100 0 12 X12 0.000000100 0 Value of Objective Function = -9268645.162 The SAS System 07:46 Monday, October 16, 2017 7755 Optimization Start Parameter Estimates Gradient Lower Upper Objective Bound Bound N Parameter Estimate Function Constraint Constraint 1 X1 3.480000 0 0 1E300 2 X2 0.336000 0 0 1E300 3 X3 0.158000 0 -1E300 1E300 4 X4 -0.022500 0 -1E300 1E300 5 X5 0.051000 0 0 1E300 6 X6 0.011250 0 -1E300 1E300 7 X7 0.310000 0 -1.000000 1.000000 8 X8 0.000000100 0 1E-9 1E300 9 X9 0.000000100 0 1E-9 1E300 10 X10 0.000000100 0 1E-9 1E300 11 X11 0.000000100 0 . . 12 X12 0.000000100 0 . . Value of Objective Function = -9268645.162 The SAS System 07:46 Monday, October 16, 2017 7756 Dual Quasi-Newton Optimization Minimum Iterations 0 Maximum Iterations 2000 Maximum Function Calls 5000 ABSGCONV Gradient Criterion 0.00001 GCONV Gradient Criterion 1E-8 ABSFCONV Function Criterion 0 FCONV Function Criterion 2.220446E-16 FCONV2 Function Criterion 0 FSIZE Parameter 0 ABSXCONV Parameter Change Criterion 0 XCONV Parameter Change Criterion 0 XSIZE Parameter 0 ABSCONV Function Criterion 1.340781E154 Line Search Method 2 Starting Alpha for Line Search 1 Line Search Precision LSPRECISION 0.4 DAMPSTEP Parameter for Line Search . MAXSTEP Parameter for Line Search 0 FD Derivatives: Accurate Digits in Obj.F 15.653559775 Singularity Tolerance (SINGULAR) 1E-8 Constraint Precision (LCEPS) 1E-8 Linearly Dependent Constraints (LCSING) 1E-8 Releasing Active Constraints (LCDEACT) . Dual Quasi-Newton Optimization Dual Broyden - Fletcher - Goldfarb - Shanno Update (DBFGS) Gradient Computed by Finite Differences Parameter Estimates 12 Lower Bounds 10 Upper Bounds 10 Optimization Start Active Constraints 0 Objective Function -9268645.162 Max Abs Gradient Element 0 Optimization Results Iterations 0 Function Calls 2 Gradient Calls 2 Active Constraints 0 Objective Function -9268645.162 Max Abs Gradient Element 0 Slope of Search Direction 0 ABSGCONV convergence criterion satisfied. The SAS System 07:46 Monday, October 16, 2017 7757 Optimization Results Parameter Estimates Gradient Objective N Parameter Estimate Function 1 X1 3.480000 0 2 X2 0.336000 0 3 X3 0.158000 0 4 X4 -0.022500 0 5 X5 0.051000 0 6 X6 0.011250 0 7 X7 0.310000 0 8 X8 0.000000100 0 9 X9 0.000000100 0 10 X10 0.000000100 0 11 X11 0.000000100 0 12 X12 0.000000100 0 Value of Objective Function = -9268645.162 The SAS System 07:46 Monday, October 16, 2017 7758 Optimization Start Parameter Estimates Gradient Lower Upper Objective Bound Bound N Parameter Estimate Function Constraint Constraint 1 X1 3.480000 0 0 1E300 2 X2 0.336000 0 0 1E300 3 X3 0.158000 0 -1E300 1E300 4 X4 -0.022500 0 -1E300 1E300 5 X5 0.101000 0 0 1E300 6 X6 0.001250 0 -1E300 1E300 7 X7 0.290000 0 -1.000000 1.000000 8 X8 0.000000100 0 1E-9 1E300 9 X9 0.000000100 0 1E-9 1E300 10 X10 0.000000100 0 1E-9 1E300 11 X11 0.000000100 0 . . 12 X12 0.000000100 0 . . Value of Objective Function = -9268645.179 The SAS System 07:46 Monday, October 16, 2017 7759 Dual Quasi-Newton Optimization Minimum Iterations 0 Maximum Iterations 2000 Maximum Function Calls 5000 ABSGCONV Gradient Criterion 0.00001 GCONV Gradient Criterion 1E-8 ABSFCONV Function Criterion 0 FCONV Function Criterion 2.220446E-16 FCONV2 Function Criterion 0 FSIZE Parameter 0 ABSXCONV Parameter Change Criterion 0 XCONV Parameter Change Criterion 0 XSIZE Parameter 0 ABSCONV Function Criterion 1.340781E154 Line Search Method 2 Starting Alpha for Line Search 1 Line Search Precision LSPRECISION 0.4 DAMPSTEP Parameter for Line Search . MAXSTEP Parameter for Line Search 0 FD Derivatives: Accurate Digits in Obj.F 15.653559775 Singularity Tolerance (SINGULAR) 1E-8 Constraint Precision (LCEPS) 1E-8 Linearly Dependent Constraints (LCSING) 1E-8 Releasing Active Constraints (LCDEACT) . Dual Quasi-Newton Optimization Dual Broyden - Fletcher - Goldfarb - Shanno Update (DBFGS) Gradient Computed by Finite Differences Parameter Estimates 12 Lower Bounds 10 Upper Bounds 10 Optimization Start Active Constraints 0 Objective Function -9268645.179 Max Abs Gradient Element 0 Optimization Results Iterations 0 Function Calls 2 Gradient Calls 2 Active Constraints 0 Objective Function -9268645.179 Max Abs Gradient Element 0 Slope of Search Direction 0 ABSGCONV convergence criterion satisfied. The SAS System 07:46 Monday, October 16, 2017 7760 Optimization Results Parameter Estimates Gradient Objective N Parameter Estimate Function 1 X1 3.480000 0 2 X2 0.336000 0 3 X3 0.158000 0 4 X4 -0.022500 0 5 X5 0.101000 0 6 X6 0.001250 0 7 X7 0.290000 0 8 X8 0.000000100 0 9 X9 0.000000100 0 10 X10 0.000000100 0 11 X11 0.000000100 0 12 X12 0.000000100 0 Value of Objective Function = -9268645.179 The SAS System 07:46 Monday, October 16, 2017 7761 Optimization Start Parameter Estimates Gradient Lower Upper Objective Bound Bound N Parameter Estimate Function Constraint Constraint 1 X1 3.480000 0 0 1E300 2 X2 0.336000 0 0 1E300 3 X3 0.158000 0 -1E300 1E300 4 X4 -0.022500 0 -1E300 1E300 5 X5 0.101000 0 0 1E300 6 X6 0.001250 0 -1E300 1E300 7 X7 0.310000 0 -1.000000 1.000000 8 X8 0.000000100 0 1E-9 1E300 9 X9 0.000000100 0 1E-9 1E300 10 X10 0.000000100 0 1E-9 1E300 11 X11 0.000000100 0 . . 12 X12 0.000000100 0 . . Value of Objective Function = -9268645.178 The SAS System 07:46 Monday, October 16, 2017 7762 Dual Quasi-Newton Optimization Minimum Iterations 0 Maximum Iterations 2000 Maximum Function Calls 5000 ABSGCONV Gradient Criterion 0.00001 GCONV Gradient Criterion 1E-8 ABSFCONV Function Criterion 0 FCONV Function Criterion 2.220446E-16 FCONV2 Function Criterion 0 FSIZE Parameter 0 ABSXCONV Parameter Change Criterion 0 XCONV Parameter Change Criterion 0 XSIZE Parameter 0 ABSCONV Function Criterion 1.340781E154 Line Search Method 2 Starting Alpha for Line Search 1 Line Search Precision LSPRECISION 0.4 DAMPSTEP Parameter for Line Search . MAXSTEP Parameter for Line Search 0 FD Derivatives: Accurate Digits in Obj.F 15.653559775 Singularity Tolerance (SINGULAR) 1E-8 Constraint Precision (LCEPS) 1E-8 Linearly Dependent Constraints (LCSING) 1E-8 Releasing Active Constraints (LCDEACT) . Dual Quasi-Newton Optimization Dual Broyden - Fletcher - Goldfarb - Shanno Update (DBFGS) Gradient Computed by Finite Differences Parameter Estimates 12 Lower Bounds 10 Upper Bounds 10 Optimization Start Active Constraints 0 Objective Function -9268645.178 Max Abs Gradient Element 0 Optimization Results Iterations 0 Function Calls 2 Gradient Calls 2 Active Constraints 0 Objective Function -9268645.178 Max Abs Gradient Element 0 Slope of Search Direction 0 ABSGCONV convergence criterion satisfied. The SAS System 07:46 Monday, October 16, 2017 7763 Optimization Results Parameter Estimates Gradient Objective N Parameter Estimate Function 1 X1 3.480000 0 2 X2 0.336000 0 3 X3 0.158000 0 4 X4 -0.022500 0 5 X5 0.101000 0 6 X6 0.001250 0 7 X7 0.310000 0 8 X8 0.000000100 0 9 X9 0.000000100 0 10 X10 0.000000100 0 11 X11 0.000000100 0 12 X12 0.000000100 0 Value of Objective Function = -9268645.178 The SAS System 07:46 Monday, October 16, 2017 7764 Optimization Start Parameter Estimates Gradient Lower Upper Objective Bound Bound N Parameter Estimate Function Constraint Constraint 1 X1 3.480000 0 0 1E300 2 X2 0.336000 0 0 1E300 3 X3 0.158000 0 -1E300 1E300 4 X4 -0.022500 0 -1E300 1E300 5 X5 0.101000 0 0 1E300 6 X6 0.011250 0 -1E300 1E300 7 X7 0.290000 0 -1.000000 1.000000 8 X8 0.000000100 0 1E-9 1E300 9 X9 0.000000100 0 1E-9 1E300 10 X10 0.000000100 0 1E-9 1E300 11 X11 0.000000100 0 . . 12 X12 0.000000100 0 . . Value of Objective Function = -9268645.15 The SAS System 07:46 Monday, October 16, 2017 7765 Dual Quasi-Newton Optimization Minimum Iterations 0 Maximum Iterations 2000 Maximum Function Calls 5000 ABSGCONV Gradient Criterion 0.00001 GCONV Gradient Criterion 1E-8 ABSFCONV Function Criterion 0 FCONV Function Criterion 2.220446E-16 FCONV2 Function Criterion 0 FSIZE Parameter 0 ABSXCONV Parameter Change Criterion 0 XCONV Parameter Change Criterion 0 XSIZE Parameter 0 ABSCONV Function Criterion 1.340781E154 Line Search Method 2 Starting Alpha for Line Search 1 Line Search Precision LSPRECISION 0.4 DAMPSTEP Parameter for Line Search . MAXSTEP Parameter for Line Search 0 FD Derivatives: Accurate Digits in Obj.F 15.653559775 Singularity Tolerance (SINGULAR) 1E-8 Constraint Precision (LCEPS) 1E-8 Linearly Dependent Constraints (LCSING) 1E-8 Releasing Active Constraints (LCDEACT) . Dual Quasi-Newton Optimization Dual Broyden - Fletcher - Goldfarb - Shanno Update (DBFGS) Gradient Computed by Finite Differences Parameter Estimates 12 Lower Bounds 10 Upper Bounds 10 Optimization Start Active Constraints 0 Objective Function -9268645.15 Max Abs Gradient Element 0 Optimization Results Iterations 0 Function Calls 2 Gradient Calls 2 Active Constraints 0 Objective Function -9268645.15 Max Abs Gradient Element 0 Slope of Search Direction 0 ABSGCONV convergence criterion satisfied. The SAS System 07:46 Monday, October 16, 2017 7766 Optimization Results Parameter Estimates Gradient Objective N Parameter Estimate Function 1 X1 3.480000 0 2 X2 0.336000 0 3 X3 0.158000 0 4 X4 -0.022500 0 5 X5 0.101000 0 6 X6 0.011250 0 7 X7 0.290000 0 8 X8 0.000000100 0 9 X9 0.000000100 0 10 X10 0.000000100 0 11 X11 0.000000100 0 12 X12 0.000000100 0 Value of Objective Function = -9268645.15 The SAS System 07:46 Monday, October 16, 2017 7767 Optimization Start Parameter Estimates Gradient Lower Upper Objective Bound Bound N Parameter Estimate Function Constraint Constraint 1 X1 3.480000 0 0 1E300 2 X2 0.336000 0 0 1E300 3 X3 0.158000 0 -1E300 1E300 4 X4 -0.022500 0 -1E300 1E300 5 X5 0.101000 0 0 1E300 6 X6 0.011250 0 -1E300 1E300 7 X7 0.310000 0 -1.000000 1.000000 8 X8 0.000000100 0 1E-9 1E300 9 X9 0.000000100 0 1E-9 1E300 10 X10 0.000000100 0 1E-9 1E300 11 X11 0.000000100 0 . . 12 X12 0.000000100 0 . . Value of Objective Function = -9268645.149 The SAS System 07:46 Monday, October 16, 2017 7768 Dual Quasi-Newton Optimization Minimum Iterations 0 Maximum Iterations 2000 Maximum Function Calls 5000 ABSGCONV Gradient Criterion 0.00001 GCONV Gradient Criterion 1E-8 ABSFCONV Function Criterion 0 FCONV Function Criterion 2.220446E-16 FCONV2 Function Criterion 0 FSIZE Parameter 0 ABSXCONV Parameter Change Criterion 0 XCONV Parameter Change Criterion 0 XSIZE Parameter 0 ABSCONV Function Criterion 1.340781E154 Line Search Method 2 Starting Alpha for Line Search 1 Line Search Precision LSPRECISION 0.4 DAMPSTEP Parameter for Line Search . MAXSTEP Parameter for Line Search 0 FD Derivatives: Accurate Digits in Obj.F 15.653559775 Singularity Tolerance (SINGULAR) 1E-8 Constraint Precision (LCEPS) 1E-8 Linearly Dependent Constraints (LCSING) 1E-8 Releasing Active Constraints (LCDEACT) . Dual Quasi-Newton Optimization Dual Broyden - Fletcher - Goldfarb - Shanno Update (DBFGS) Gradient Computed by Finite Differences Parameter Estimates 12 Lower Bounds 10 Upper Bounds 10 Optimization Start Active Constraints 0 Objective Function -9268645.149 Max Abs Gradient Element 0 Optimization Results Iterations 0 Function Calls 2 Gradient Calls 2 Active Constraints 0 Objective Function -9268645.149 Max Abs Gradient Element 0 Slope of Search Direction 0 ABSGCONV convergence criterion satisfied. The SAS System 07:46 Monday, October 16, 2017 7769 Optimization Results Parameter Estimates Gradient Objective N Parameter Estimate Function 1 X1 3.480000 0 2 X2 0.336000 0 3 X3 0.158000 0 4 X4 -0.022500 0 5 X5 0.101000 0 6 X6 0.011250 0 7 X7 0.310000 0 8 X8 0.000000100 0 9 X9 0.000000100 0 10 X10 0.000000100 0 11 X11 0.000000100 0 12 X12 0.000000100 0 Value of Objective Function = -9268645.149 The SAS System 07:46 Monday, October 16, 2017 7770 Optimization Start Parameter Estimates Gradient Lower Upper Objective Bound Bound N Parameter Estimate Function Constraint Constraint 1 X1 3.480000 0 0 1E300 2 X2 0.336000 0 0 1E300 3 X3 0.158000 0 -1E300 1E300 4 X4 -0.022500 0 -1E300 1E300 5 X5 0.151000 0 0 1E300 6 X6 0.001250 0 -1E300 1E300 7 X7 0.290000 0 -1.000000 1.000000 8 X8 0.000000100 0 1E-9 1E300 9 X9 0.000000100 0 1E-9 1E300 10 X10 0.000000100 0 1E-9 1E300 11 X11 0.000000100 0 . . 12 X12 0.000000100 0 . . Value of Objective Function = -9268645.156 The SAS System 07:46 Monday, October 16, 2017 7771 Dual Quasi-Newton Optimization Minimum Iterations 0 Maximum Iterations 2000 Maximum Function Calls 5000 ABSGCONV Gradient Criterion 0.00001 GCONV Gradient Criterion 1E-8 ABSFCONV Function Criterion 0 FCONV Function Criterion 2.220446E-16 FCONV2 Function Criterion 0 FSIZE Parameter 0 ABSXCONV Parameter Change Criterion 0 XCONV Parameter Change Criterion 0 XSIZE Parameter 0 ABSCONV Function Criterion 1.340781E154 Line Search Method 2 Starting Alpha for Line Search 1 Line Search Precision LSPRECISION 0.4 DAMPSTEP Parameter for Line Search . MAXSTEP Parameter for Line Search 0 FD Derivatives: Accurate Digits in Obj.F 15.653559775 Singularity Tolerance (SINGULAR) 1E-8 Constraint Precision (LCEPS) 1E-8 Linearly Dependent Constraints (LCSING) 1E-8 Releasing Active Constraints (LCDEACT) . Dual Quasi-Newton Optimization Dual Broyden - Fletcher - Goldfarb - Shanno Update (DBFGS) Gradient Computed by Finite Differences Parameter Estimates 12 Lower Bounds 10 Upper Bounds 10 Optimization Start Active Constraints 0 Objective Function -9268645.156 Max Abs Gradient Element 0 Optimization Results Iterations 0 Function Calls 2 Gradient Calls 2 Active Constraints 0 Objective Function -9268645.156 Max Abs Gradient Element 0 Slope of Search Direction 0 ABSGCONV convergence criterion satisfied. The SAS System 07:46 Monday, October 16, 2017 7772 Optimization Results Parameter Estimates Gradient Objective N Parameter Estimate Function 1 X1 3.480000 0 2 X2 0.336000 0 3 X3 0.158000 0 4 X4 -0.022500 0 5 X5 0.151000 0 6 X6 0.001250 0 7 X7 0.290000 0 8 X8 0.000000100 0 9 X9 0.000000100 0 10 X10 0.000000100 0 11 X11 0.000000100 0 12 X12 0.000000100 0 Value of Objective Function = -9268645.156 The SAS System 07:46 Monday, October 16, 2017 7773 Optimization Start Parameter Estimates Gradient Lower Upper Objective Bound Bound N Parameter Estimate Function Constraint Constraint 1 X1 3.480000 0 0 1E300 2 X2 0.336000 0 0 1E300 3 X3 0.158000 0 -1E300 1E300 4 X4 -0.022500 0 -1E300 1E300 5 X5 0.151000 0 0 1E300 6 X6 0.001250 0 -1E300 1E300 7 X7 0.310000 0 -1.000000 1.000000 8 X8 0.000000100 0 1E-9 1E300 9 X9 0.000000100 0 1E-9 1E300 10 X10 0.000000100 0 1E-9 1E300 11 X11 0.000000100 0 . . 12 X12 0.000000100 0 . . Value of Objective Function = -9268645.155 The SAS System 07:46 Monday, October 16, 2017 7774 Dual Quasi-Newton Optimization Minimum Iterations 0 Maximum Iterations 2000 Maximum Function Calls 5000 ABSGCONV Gradient Criterion 0.00001 GCONV Gradient Criterion 1E-8 ABSFCONV Function Criterion 0 FCONV Function Criterion 2.220446E-16 FCONV2 Function Criterion 0 FSIZE Parameter 0 ABSXCONV Parameter Change Criterion 0 XCONV Parameter Change Criterion 0 XSIZE Parameter 0 ABSCONV Function Criterion 1.340781E154 Line Search Method 2 Starting Alpha for Line Search 1 Line Search Precision LSPRECISION 0.4 DAMPSTEP Parameter for Line Search . MAXSTEP Parameter for Line Search 0 FD Derivatives: Accurate Digits in Obj.F 15.653559775 Singularity Tolerance (SINGULAR) 1E-8 Constraint Precision (LCEPS) 1E-8 Linearly Dependent Constraints (LCSING) 1E-8 Releasing Active Constraints (LCDEACT) . Dual Quasi-Newton Optimization Dual Broyden - Fletcher - Goldfarb - Shanno Update (DBFGS) Gradient Computed by Finite Differences Parameter Estimates 12 Lower Bounds 10 Upper Bounds 10 Optimization Start Active Constraints 0 Objective Function -9268645.155 Max Abs Gradient Element 0 Optimization Results Iterations 0 Function Calls 2 Gradient Calls 2 Active Constraints 0 Objective Function -9268645.155 Max Abs Gradient Element 0 Slope of Search Direction 0 ABSGCONV convergence criterion satisfied. The SAS System 07:46 Monday, October 16, 2017 7775 Optimization Results Parameter Estimates Gradient Objective N Parameter Estimate Function 1 X1 3.480000 0 2 X2 0.336000 0 3 X3 0.158000 0 4 X4 -0.022500 0 5 X5 0.151000 0 6 X6 0.001250 0 7 X7 0.310000 0 8 X8 0.000000100 0 9 X9 0.000000100 0 10 X10 0.000000100 0 11 X11 0.000000100 0 12 X12 0.000000100 0 Value of Objective Function = -9268645.155 The SAS System 07:46 Monday, October 16, 2017 7776 Optimization Start Parameter Estimates Gradient Lower Upper Objective Bound Bound N Parameter Estimate Function Constraint Constraint 1 X1 3.480000 0 0 1E300 2 X2 0.336000 0 0 1E300 3 X3 0.158000 0 -1E300 1E300 4 X4 -0.022500 0 -1E300 1E300 5 X5 0.151000 0 0 1E300 6 X6 0.011250 0 -1E300 1E300 7 X7 0.290000 0 -1.000000 1.000000 8 X8 0.000000100 0 1E-9 1E300 9 X9 0.000000100 0 1E-9 1E300 10 X10 0.000000100 0 1E-9 1E300 11 X11 0.000000100 0 . . 12 X12 0.000000100 0 . . Value of Objective Function = -9268645.138 The SAS System 07:46 Monday, October 16, 2017 7777 Dual Quasi-Newton Optimization Minimum Iterations 0 Maximum Iterations 2000 Maximum Function Calls 5000 ABSGCONV Gradient Criterion 0.00001 GCONV Gradient Criterion 1E-8 ABSFCONV Function Criterion 0 FCONV Function Criterion 2.220446E-16 FCONV2 Function Criterion 0 FSIZE Parameter 0 ABSXCONV Parameter Change Criterion 0 XCONV Parameter Change Criterion 0 XSIZE Parameter 0 ABSCONV Function Criterion 1.340781E154 Line Search Method 2 Starting Alpha for Line Search 1 Line Search Precision LSPRECISION 0.4 DAMPSTEP Parameter for Line Search . MAXSTEP Parameter for Line Search 0 FD Derivatives: Accurate Digits in Obj.F 15.653559775 Singularity Tolerance (SINGULAR) 1E-8 Constraint Precision (LCEPS) 1E-8 Linearly Dependent Constraints (LCSING) 1E-8 Releasing Active Constraints (LCDEACT) . Dual Quasi-Newton Optimization Dual Broyden - Fletcher - Goldfarb - Shanno Update (DBFGS) Gradient Computed by Finite Differences Parameter Estimates 12 Lower Bounds 10 Upper Bounds 10 Optimization Start Active Constraints 0 Objective Function -9268645.138 Max Abs Gradient Element 0 Optimization Results Iterations 0 Function Calls 2 Gradient Calls 2 Active Constraints 0 Objective Function -9268645.138 Max Abs Gradient Element 0 Slope of Search Direction 0 ABSGCONV convergence criterion satisfied. The SAS System 07:46 Monday, October 16, 2017 7778 Optimization Results Parameter Estimates Gradient Objective N Parameter Estimate Function 1 X1 3.480000 0 2 X2 0.336000 0 3 X3 0.158000 0 4 X4 -0.022500 0 5 X5 0.151000 0 6 X6 0.011250 0 7 X7 0.290000 0 8 X8 0.000000100 0 9 X9 0.000000100 0 10 X10 0.000000100 0 11 X11 0.000000100 0 12 X12 0.000000100 0 Value of Objective Function = -9268645.138 The SAS System 07:46 Monday, October 16, 2017 7779 Optimization Start Parameter Estimates Gradient Lower Upper Objective Bound Bound N Parameter Estimate Function Constraint Constraint 1 X1 3.480000 0 0 1E300 2 X2 0.336000 0 0 1E300 3 X3 0.158000 0 -1E300 1E300 4 X4 -0.022500 0 -1E300 1E300 5 X5 0.151000 0 0 1E300 6 X6 0.011250 0 -1E300 1E300 7 X7 0.310000 0 -1.000000 1.000000 8 X8 0.000000100 0 1E-9 1E300 9 X9 0.000000100 0 1E-9 1E300 10 X10 0.000000100 0 1E-9 1E300 11 X11 0.000000100 0 . . 12 X12 0.000000100 0 . . Value of Objective Function = -9268645.137 The SAS System 07:46 Monday, October 16, 2017 7780 Dual Quasi-Newton Optimization Minimum Iterations 0 Maximum Iterations 2000 Maximum Function Calls 5000 ABSGCONV Gradient Criterion 0.00001 GCONV Gradient Criterion 1E-8 ABSFCONV Function Criterion 0 FCONV Function Criterion 2.220446E-16 FCONV2 Function Criterion 0 FSIZE Parameter 0 ABSXCONV Parameter Change Criterion 0 XCONV Parameter Change Criterion 0 XSIZE Parameter 0 ABSCONV Function Criterion 1.340781E154 Line Search Method 2 Starting Alpha for Line Search 1 Line Search Precision LSPRECISION 0.4 DAMPSTEP Parameter for Line Search . MAXSTEP Parameter for Line Search 0 FD Derivatives: Accurate Digits in Obj.F 15.653559775 Singularity Tolerance (SINGULAR) 1E-8 Constraint Precision (LCEPS) 1E-8 Linearly Dependent Constraints (LCSING) 1E-8 Releasing Active Constraints (LCDEACT) . Dual Quasi-Newton Optimization Dual Broyden - Fletcher - Goldfarb - Shanno Update (DBFGS) Gradient Computed by Finite Differences Parameter Estimates 12 Lower Bounds 10 Upper Bounds 10 Optimization Start Active Constraints 0 Objective Function -9268645.137 Max Abs Gradient Element 0 Optimization Results Iterations 0 Function Calls 2 Gradient Calls 2 Active Constraints 0 Objective Function -9268645.137 Max Abs Gradient Element 0 Slope of Search Direction 0 ABSGCONV convergence criterion satisfied. The SAS System 07:46 Monday, October 16, 2017 7781 Optimization Results Parameter Estimates Gradient Objective N Parameter Estimate Function 1 X1 3.480000 0 2 X2 0.336000 0 3 X3 0.158000 0 4 X4 -0.022500 0 5 X5 0.151000 0 6 X6 0.011250 0 7 X7 0.310000 0 8 X8 0.000000100 0 9 X9 0.000000100 0 10 X10 0.000000100 0 11 X11 0.000000100 0 12 X12 0.000000100 0 Value of Objective Function = -9268645.137 The SAS System 07:46 Monday, October 16, 2017 7782 Optimization Start Parameter Estimates Gradient Lower Upper Objective Bound Bound N Parameter Estimate Function Constraint Constraint 1 X1 3.480000 0 0 1E300 2 X2 0.336000 0 0 1E300 3 X3 0.158000 0 -1E300 1E300 4 X4 0.012500 0 -1E300 1E300 5 X5 0.001000 0 0 1E300 6 X6 0.001250 0 -1E300 1E300 7 X7 0.290000 0 -1.000000 1.000000 8 X8 0.000000100 0 1E-9 1E300 9 X9 0.000000100 0 1E-9 1E300 10 X10 0.000000100 0 1E-9 1E300 11 X11 0.000000100 0 . . 12 X12 0.000000100 0 . . Value of Objective Function = -9268645.211 The SAS System 07:46 Monday, October 16, 2017 7783 Dual Quasi-Newton Optimization Minimum Iterations 0 Maximum Iterations 2000 Maximum Function Calls 5000 ABSGCONV Gradient Criterion 0.00001 GCONV Gradient Criterion 1E-8 ABSFCONV Function Criterion 0 FCONV Function Criterion 2.220446E-16 FCONV2 Function Criterion 0 FSIZE Parameter 0 ABSXCONV Parameter Change Criterion 0 XCONV Parameter Change Criterion 0 XSIZE Parameter 0 ABSCONV Function Criterion 1.340781E154 Line Search Method 2 Starting Alpha for Line Search 1 Line Search Precision LSPRECISION 0.4 DAMPSTEP Parameter for Line Search . MAXSTEP Parameter for Line Search 0 FD Derivatives: Accurate Digits in Obj.F 15.653559775 Singularity Tolerance (SINGULAR) 1E-8 Constraint Precision (LCEPS) 1E-8 Linearly Dependent Constraints (LCSING) 1E-8 Releasing Active Constraints (LCDEACT) . Dual Quasi-Newton Optimization Dual Broyden - Fletcher - Goldfarb - Shanno Update (DBFGS) Gradient Computed by Finite Differences Parameter Estimates 12 Lower Bounds 10 Upper Bounds 10 Optimization Start Active Constraints 0 Objective Function -9268645.211 Max Abs Gradient Element 0 Optimization Results Iterations 0 Function Calls 2 Gradient Calls 2 Active Constraints 0 Objective Function -9268645.211 Max Abs Gradient Element 0 Slope of Search Direction 0 ABSGCONV convergence criterion satisfied. The SAS System 07:46 Monday, October 16, 2017 7784 Optimization Results Parameter Estimates Gradient Objective N Parameter Estimate Function 1 X1 3.480000 0 2 X2 0.336000 0 3 X3 0.158000 0 4 X4 0.012500 0 5 X5 0.001000 0 6 X6 0.001250 0 7 X7 0.290000 0 8 X8 0.000000100 0 9 X9 0.000000100 0 10 X10 0.000000100 0 11 X11 0.000000100 0 12 X12 0.000000100 0 Value of Objective Function = -9268645.211 The SAS System 07:46 Monday, October 16, 2017 7785 Optimization Start Parameter Estimates Gradient Lower Upper Objective Bound Bound N Parameter Estimate Function Constraint Constraint 1 X1 3.480000 0 0 1E300 2 X2 0.336000 0 0 1E300 3 X3 0.158000 0 -1E300 1E300 4 X4 0.012500 0 -1E300 1E300 5 X5 0.001000 0 0 1E300 6 X6 0.001250 0 -1E300 1E300 7 X7 0.310000 0 -1.000000 1.000000 8 X8 0.000000100 0 1E-9 1E300 9 X9 0.000000100 0 1E-9 1E300 10 X10 0.000000100 0 1E-9 1E300 11 X11 0.000000100 0 . . 12 X12 0.000000100 0 . . Value of Objective Function = -9268645.211 The SAS System 07:46 Monday, October 16, 2017 7786 Dual Quasi-Newton Optimization Minimum Iterations 0 Maximum Iterations 2000 Maximum Function Calls 5000 ABSGCONV Gradient Criterion 0.00001 GCONV Gradient Criterion 1E-8 ABSFCONV Function Criterion 0 FCONV Function Criterion 2.220446E-16 FCONV2 Function Criterion 0 FSIZE Parameter 0 ABSXCONV Parameter Change Criterion 0 XCONV Parameter Change Criterion 0 XSIZE Parameter 0 ABSCONV Function Criterion 1.340781E154 Line Search Method 2 Starting Alpha for Line Search 1 Line Search Precision LSPRECISION 0.4 DAMPSTEP Parameter for Line Search . MAXSTEP Parameter for Line Search 0 FD Derivatives: Accurate Digits in Obj.F 15.653559775 Singularity Tolerance (SINGULAR) 1E-8 Constraint Precision (LCEPS) 1E-8 Linearly Dependent Constraints (LCSING) 1E-8 Releasing Active Constraints (LCDEACT) . Dual Quasi-Newton Optimization Dual Broyden - Fletcher - Goldfarb - Shanno Update (DBFGS) Gradient Computed by Finite Differences Parameter Estimates 12 Lower Bounds 10 Upper Bounds 10 Optimization Start Active Constraints 0 Objective Function -9268645.211 Max Abs Gradient Element 0 Optimization Results Iterations 0 Function Calls 2 Gradient Calls 2 Active Constraints 0 Objective Function -9268645.211 Max Abs Gradient Element 0 Slope of Search Direction 0 ABSGCONV convergence criterion satisfied. The SAS System 07:46 Monday, October 16, 2017 7787 Optimization Results Parameter Estimates Gradient Objective N Parameter Estimate Function 1 X1 3.480000 0 2 X2 0.336000 0 3 X3 0.158000 0 4 X4 0.012500 0 5 X5 0.001000 0 6 X6 0.001250 0 7 X7 0.310000 0 8 X8 0.000000100 0 9 X9 0.000000100 0 10 X10 0.000000100 0 11 X11 0.000000100 0 12 X12 0.000000100 0 Value of Objective Function = -9268645.211 The SAS System 07:46 Monday, October 16, 2017 7788 Optimization Start Parameter Estimates Gradient Lower Upper Objective Bound Bound N Parameter Estimate Function Constraint Constraint 1 X1 3.480000 0 0 1E300 2 X2 0.336000 0 0 1E300 3 X3 0.158000 0 -1E300 1E300 4 X4 0.012500 0 -1E300 1E300 5 X5 0.001000 0 0 1E300 6 X6 0.011250 0 -1E300 1E300 7 X7 0.290000 0 -1.000000 1.000000 8 X8 0.000000100 0 1E-9 1E300 9 X9 0.000000100 0 1E-9 1E300 10 X10 0.000000100 0 1E-9 1E300 11 X11 0.000000100 0 . . 12 X12 0.000000100 0 . . Value of Objective Function = -9268645.17 The SAS System 07:46 Monday, October 16, 2017 7789 Dual Quasi-Newton Optimization Minimum Iterations 0 Maximum Iterations 2000 Maximum Function Calls 5000 ABSGCONV Gradient Criterion 0.00001 GCONV Gradient Criterion 1E-8 ABSFCONV Function Criterion 0 FCONV Function Criterion 2.220446E-16 FCONV2 Function Criterion 0 FSIZE Parameter 0 ABSXCONV Parameter Change Criterion 0 XCONV Parameter Change Criterion 0 XSIZE Parameter 0 ABSCONV Function Criterion 1.340781E154 Line Search Method 2 Starting Alpha for Line Search 1 Line Search Precision LSPRECISION 0.4 DAMPSTEP Parameter for Line Search . MAXSTEP Parameter for Line Search 0 FD Derivatives: Accurate Digits in Obj.F 15.653559775 Singularity Tolerance (SINGULAR) 1E-8 Constraint Precision (LCEPS) 1E-8 Linearly Dependent Constraints (LCSING) 1E-8 Releasing Active Constraints (LCDEACT) . Dual Quasi-Newton Optimization Dual Broyden - Fletcher - Goldfarb - Shanno Update (DBFGS) Gradient Computed by Finite Differences Parameter Estimates 12 Lower Bounds 10 Upper Bounds 10 Optimization Start Active Constraints 0 Objective Function -9268645.17 Max Abs Gradient Element 0 Optimization Results Iterations 0 Function Calls 2 Gradient Calls 2 Active Constraints 0 Objective Function -9268645.17 Max Abs Gradient Element 0 Slope of Search Direction 0 ABSGCONV convergence criterion satisfied. The SAS System 07:46 Monday, October 16, 2017 7790 Optimization Results Parameter Estimates Gradient Objective N Parameter Estimate Function 1 X1 3.480000 0 2 X2 0.336000 0 3 X3 0.158000 0 4 X4 0.012500 0 5 X5 0.001000 0 6 X6 0.011250 0 7 X7 0.290000 0 8 X8 0.000000100 0 9 X9 0.000000100 0 10 X10 0.000000100 0 11 X11 0.000000100 0 12 X12 0.000000100 0 Value of Objective Function = -9268645.17 The SAS System 07:46 Monday, October 16, 2017 7791 Optimization Start Parameter Estimates Gradient Lower Upper Objective Bound Bound N Parameter Estimate Function Constraint Constraint 1 X1 3.480000 0 0 1E300 2 X2 0.336000 0 0 1E300 3 X3 0.158000 0 -1E300 1E300 4 X4 0.012500 0 -1E300 1E300 5 X5 0.001000 0 0 1E300 6 X6 0.011250 0 -1E300 1E300 7 X7 0.310000 0 -1.000000 1.000000 8 X8 0.000000100 0 1E-9 1E300 9 X9 0.000000100 0 1E-9 1E300 10 X10 0.000000100 0 1E-9 1E300 11 X11 0.000000100 0 . . 12 X12 0.000000100 0 . . Value of Objective Function = -9268645.17 The SAS System 07:46 Monday, October 16, 2017 7792 Dual Quasi-Newton Optimization Minimum Iterations 0 Maximum Iterations 2000 Maximum Function Calls 5000 ABSGCONV Gradient Criterion 0.00001 GCONV Gradient Criterion 1E-8 ABSFCONV Function Criterion 0 FCONV Function Criterion 2.220446E-16 FCONV2 Function Criterion 0 FSIZE Parameter 0 ABSXCONV Parameter Change Criterion 0 XCONV Parameter Change Criterion 0 XSIZE Parameter 0 ABSCONV Function Criterion 1.340781E154 Line Search Method 2 Starting Alpha for Line Search 1 Line Search Precision LSPRECISION 0.4 DAMPSTEP Parameter for Line Search . MAXSTEP Parameter for Line Search 0 FD Derivatives: Accurate Digits in Obj.F 15.653559775 Singularity Tolerance (SINGULAR) 1E-8 Constraint Precision (LCEPS) 1E-8 Linearly Dependent Constraints (LCSING) 1E-8 Releasing Active Constraints (LCDEACT) . Dual Quasi-Newton Optimization Dual Broyden - Fletcher - Goldfarb - Shanno Update (DBFGS) Gradient Computed by Finite Differences Parameter Estimates 12 Lower Bounds 10 Upper Bounds 10 Optimization Start Active Constraints 0 Objective Function -9268645.17 Max Abs Gradient Element 0 Optimization Results Iterations 0 Function Calls 2 Gradient Calls 2 Active Constraints 0 Objective Function -9268645.17 Max Abs Gradient Element 0 Slope of Search Direction 0 ABSGCONV convergence criterion satisfied. The SAS System 07:46 Monday, October 16, 2017 7793 Optimization Results Parameter Estimates Gradient Objective N Parameter Estimate Function 1 X1 3.480000 0 2 X2 0.336000 0 3 X3 0.158000 0 4 X4 0.012500 0 5 X5 0.001000 0 6 X6 0.011250 0 7 X7 0.310000 0 8 X8 0.000000100 0 9 X9 0.000000100 0 10 X10 0.000000100 0 11 X11 0.000000100 0 12 X12 0.000000100 0 Value of Objective Function = -9268645.17 The SAS System 07:46 Monday, October 16, 2017 7794 Optimization Start Parameter Estimates Gradient Lower Upper Objective Bound Bound N Parameter Estimate Function Constraint Constraint 1 X1 3.480000 0 0 1E300 2 X2 0.336000 0 0 1E300 3 X3 0.158000 0 -1E300 1E300 4 X4 0.012500 0 -1E300 1E300 5 X5 0.051000 0 0 1E300 6 X6 0.001250 0 -1E300 1E300 7 X7 0.290000 0 -1.000000 1.000000 8 X8 0.000000100 0 1E-9 1E300 9 X9 0.000000100 0 1E-9 1E300 10 X10 0.000000100 0 1E-9 1E300 11 X11 0.000000100 0 . . 12 X12 0.000000100 0 . . Value of Objective Function = -9268645.2 The SAS System 07:46 Monday, October 16, 2017 7795 Dual Quasi-Newton Optimization Minimum Iterations 0 Maximum Iterations 2000 Maximum Function Calls 5000 ABSGCONV Gradient Criterion 0.00001 GCONV Gradient Criterion 1E-8 ABSFCONV Function Criterion 0 FCONV Function Criterion 2.220446E-16 FCONV2 Function Criterion 0 FSIZE Parameter 0 ABSXCONV Parameter Change Criterion 0 XCONV Parameter Change Criterion 0 XSIZE Parameter 0 ABSCONV Function Criterion 1.340781E154 Line Search Method 2 Starting Alpha for Line Search 1 Line Search Precision LSPRECISION 0.4 DAMPSTEP Parameter for Line Search . MAXSTEP Parameter for Line Search 0 FD Derivatives: Accurate Digits in Obj.F 15.653559775 Singularity Tolerance (SINGULAR) 1E-8 Constraint Precision (LCEPS) 1E-8 Linearly Dependent Constraints (LCSING) 1E-8 Releasing Active Constraints (LCDEACT) . Dual Quasi-Newton Optimization Dual Broyden - Fletcher - Goldfarb - Shanno Update (DBFGS) Gradient Computed by Finite Differences Parameter Estimates 12 Lower Bounds 10 Upper Bounds 10 Optimization Start Active Constraints 0 Objective Function -9268645.2 Max Abs Gradient Element 0 Optimization Results Iterations 0 Function Calls 2 Gradient Calls 2 Active Constraints 0 Objective Function -9268645.2 Max Abs Gradient Element 0 Slope of Search Direction 0 ABSGCONV convergence criterion satisfied. The SAS System 07:46 Monday, October 16, 2017 7796 Optimization Results Parameter Estimates Gradient Objective N Parameter Estimate Function 1 X1 3.480000 0 2 X2 0.336000 0 3 X3 0.158000 0 4 X4 0.012500 0 5 X5 0.051000 0 6 X6 0.001250 0 7 X7 0.290000 0 8 X8 0.000000100 0 9 X9 0.000000100 0 10 X10 0.000000100 0 11 X11 0.000000100 0 12 X12 0.000000100 0 Value of Objective Function = -9268645.2 The SAS System 07:46 Monday, October 16, 2017 7797 Optimization Start Parameter Estimates Gradient Lower Upper Objective Bound Bound N Parameter Estimate Function Constraint Constraint 1 X1 3.480000 0 0 1E300 2 X2 0.336000 0 0 1E300 3 X3 0.158000 0 -1E300 1E300 4 X4 0.012500 0 -1E300 1E300 5 X5 0.051000 0 0 1E300 6 X6 0.001250 0 -1E300 1E300 7 X7 0.310000 0 -1.000000 1.000000 8 X8 0.000000100 0 1E-9 1E300 9 X9 0.000000100 0 1E-9 1E300 10 X10 0.000000100 0 1E-9 1E300 11 X11 0.000000100 0 . . 12 X12 0.000000100 0 . . Value of Objective Function = -9268645.2 The SAS System 07:46 Monday, October 16, 2017 7798 Dual Quasi-Newton Optimization Minimum Iterations 0 Maximum Iterations 2000 Maximum Function Calls 5000 ABSGCONV Gradient Criterion 0.00001 GCONV Gradient Criterion 1E-8 ABSFCONV Function Criterion 0 FCONV Function Criterion 2.220446E-16 FCONV2 Function Criterion 0 FSIZE Parameter 0 ABSXCONV Parameter Change Criterion 0 XCONV Parameter Change Criterion 0 XSIZE Parameter 0 ABSCONV Function Criterion 1.340781E154 Line Search Method 2 Starting Alpha for Line Search 1 Line Search Precision LSPRECISION 0.4 DAMPSTEP Parameter for Line Search . MAXSTEP Parameter for Line Search 0 FD Derivatives: Accurate Digits in Obj.F 15.653559775 Singularity Tolerance (SINGULAR) 1E-8 Constraint Precision (LCEPS) 1E-8 Linearly Dependent Constraints (LCSING) 1E-8 Releasing Active Constraints (LCDEACT) . Dual Quasi-Newton Optimization Dual Broyden - Fletcher - Goldfarb - Shanno Update (DBFGS) Gradient Computed by Finite Differences Parameter Estimates 12 Lower Bounds 10 Upper Bounds 10 Optimization Start Active Constraints 0 Objective Function -9268645.2 Max Abs Gradient Element 0 Optimization Results Iterations 0 Function Calls 2 Gradient Calls 2 Active Constraints 0 Objective Function -9268645.2 Max Abs Gradient Element 0 Slope of Search Direction 0 ABSGCONV convergence criterion satisfied. The SAS System 07:46 Monday, October 16, 2017 7799 Optimization Results Parameter Estimates Gradient Objective N Parameter Estimate Function 1 X1 3.480000 0 2 X2 0.336000 0 3 X3 0.158000 0 4 X4 0.012500 0 5 X5 0.051000 0 6 X6 0.001250 0 7 X7 0.310000 0 8 X8 0.000000100 0 9 X9 0.000000100 0 10 X10 0.000000100 0 11 X11 0.000000100 0 12 X12 0.000000100 0 Value of Objective Function = -9268645.2 The SAS System 07:46 Monday, October 16, 2017 7800 Optimization Start Parameter Estimates Gradient Lower Upper Objective Bound Bound N Parameter Estimate Function Constraint Constraint 1 X1 3.480000 0 0 1E300 2 X2 0.336000 0 0 1E300 3 X3 0.158000 0 -1E300 1E300 4 X4 0.012500 0 -1E300 1E300 5 X5 0.051000 0 0 1E300 6 X6 0.011250 0 -1E300 1E300 7 X7 0.290000 0 -1.000000 1.000000 8 X8 0.000000100 0 1E-9 1E300 9 X9 0.000000100 0 1E-9 1E300 10 X10 0.000000100 0 1E-9 1E300 11 X11 0.000000100 0 . . 12 X12 0.000000100 0 . . Value of Objective Function = -9268645.163 The SAS System 07:46 Monday, October 16, 2017 7801 Dual Quasi-Newton Optimization Minimum Iterations 0 Maximum Iterations 2000 Maximum Function Calls 5000 ABSGCONV Gradient Criterion 0.00001 GCONV Gradient Criterion 1E-8 ABSFCONV Function Criterion 0 FCONV Function Criterion 2.220446E-16 FCONV2 Function Criterion 0 FSIZE Parameter 0 ABSXCONV Parameter Change Criterion 0 XCONV Parameter Change Criterion 0 XSIZE Parameter 0 ABSCONV Function Criterion 1.340781E154 Line Search Method 2 Starting Alpha for Line Search 1 Line Search Precision LSPRECISION 0.4 DAMPSTEP Parameter for Line Search . MAXSTEP Parameter for Line Search 0 FD Derivatives: Accurate Digits in Obj.F 15.653559775 Singularity Tolerance (SINGULAR) 1E-8 Constraint Precision (LCEPS) 1E-8 Linearly Dependent Constraints (LCSING) 1E-8 Releasing Active Constraints (LCDEACT) . Dual Quasi-Newton Optimization Dual Broyden - Fletcher - Goldfarb - Shanno Update (DBFGS) Gradient Computed by Finite Differences Parameter Estimates 12 Lower Bounds 10 Upper Bounds 10 Optimization Start Active Constraints 0 Objective Function -9268645.163 Max Abs Gradient Element 0 Optimization Results Iterations 0 Function Calls 2 Gradient Calls 2 Active Constraints 0 Objective Function -9268645.163 Max Abs Gradient Element 0 Slope of Search Direction 0 ABSGCONV convergence criterion satisfied. The SAS System 07:46 Monday, October 16, 2017 7802 Optimization Results Parameter Estimates Gradient Objective N Parameter Estimate Function 1 X1 3.480000 0 2 X2 0.336000 0 3 X3 0.158000 0 4 X4 0.012500 0 5 X5 0.051000 0 6 X6 0.011250 0 7 X7 0.290000 0 8 X8 0.000000100 0 9 X9 0.000000100 0 10 X10 0.000000100 0 11 X11 0.000000100 0 12 X12 0.000000100 0 Value of Objective Function = -9268645.163 The SAS System 07:46 Monday, October 16, 2017 7803 Optimization Start Parameter Estimates Gradient Lower Upper Objective Bound Bound N Parameter Estimate Function Constraint Constraint 1 X1 3.480000 0 0 1E300 2 X2 0.336000 0 0 1E300 3 X3 0.158000 0 -1E300 1E300 4 X4 0.012500 0 -1E300 1E300 5 X5 0.051000 0 0 1E300 6 X6 0.011250 0 -1E300 1E300 7 X7 0.310000 0 -1.000000 1.000000 8 X8 0.000000100 0 1E-9 1E300 9 X9 0.000000100 0 1E-9 1E300 10 X10 0.000000100 0 1E-9 1E300 11 X11 0.000000100 0 . . 12 X12 0.000000100 0 . . Value of Objective Function = -9268645.163 The SAS System 07:46 Monday, October 16, 2017 7804 Dual Quasi-Newton Optimization Minimum Iterations 0 Maximum Iterations 2000 Maximum Function Calls 5000 ABSGCONV Gradient Criterion 0.00001 GCONV Gradient Criterion 1E-8 ABSFCONV Function Criterion 0 FCONV Function Criterion 2.220446E-16 FCONV2 Function Criterion 0 FSIZE Parameter 0 ABSXCONV Parameter Change Criterion 0 XCONV Parameter Change Criterion 0 XSIZE Parameter 0 ABSCONV Function Criterion 1.340781E154 Line Search Method 2 Starting Alpha for Line Search 1 Line Search Precision LSPRECISION 0.4 DAMPSTEP Parameter for Line Search . MAXSTEP Parameter for Line Search 0 FD Derivatives: Accurate Digits in Obj.F 15.653559775 Singularity Tolerance (SINGULAR) 1E-8 Constraint Precision (LCEPS) 1E-8 Linearly Dependent Constraints (LCSING) 1E-8 Releasing Active Constraints (LCDEACT) . Dual Quasi-Newton Optimization Dual Broyden - Fletcher - Goldfarb - Shanno Update (DBFGS) Gradient Computed by Finite Differences Parameter Estimates 12 Lower Bounds 10 Upper Bounds 10 Optimization Start Active Constraints 0 Objective Function -9268645.163 Max Abs Gradient Element 0 Optimization Results Iterations 0 Function Calls 2 Gradient Calls 2 Active Constraints 0 Objective Function -9268645.163 Max Abs Gradient Element 0 Slope of Search Direction 0 ABSGCONV convergence criterion satisfied. The SAS System 07:46 Monday, October 16, 2017 7805 Optimization Results Parameter Estimates Gradient Objective N Parameter Estimate Function 1 X1 3.480000 0 2 X2 0.336000 0 3 X3 0.158000 0 4 X4 0.012500 0 5 X5 0.051000 0 6 X6 0.011250 0 7 X7 0.310000 0 8 X8 0.000000100 0 9 X9 0.000000100 0 10 X10 0.000000100 0 11 X11 0.000000100 0 12 X12 0.000000100 0 Value of Objective Function = -9268645.163 The SAS System 07:46 Monday, October 16, 2017 7806 Optimization Start Parameter Estimates Gradient Lower Upper Objective Bound Bound N Parameter Estimate Function Constraint Constraint 1 X1 3.480000 0 0 1E300 2 X2 0.336000 0 0 1E300 3 X3 0.158000 0 -1E300 1E300 4 X4 0.012500 0 -1E300 1E300 5 X5 0.101000 0 0 1E300 6 X6 0.001250 0 -1E300 1E300 7 X7 0.290000 0 -1.000000 1.000000 8 X8 0.000000100 0 1E-9 1E300 9 X9 0.000000100 0 1E-9 1E300 10 X10 0.000000100 0 1E-9 1E300 11 X11 0.000000100 0 . . 12 X12 0.000000100 0 . . Value of Objective Function = -9268645.18 The SAS System 07:46 Monday, October 16, 2017 7807 Dual Quasi-Newton Optimization Minimum Iterations 0 Maximum Iterations 2000 Maximum Function Calls 5000 ABSGCONV Gradient Criterion 0.00001 GCONV Gradient Criterion 1E-8 ABSFCONV Function Criterion 0 FCONV Function Criterion 2.220446E-16 FCONV2 Function Criterion 0 FSIZE Parameter 0 ABSXCONV Parameter Change Criterion 0 XCONV Parameter Change Criterion 0 XSIZE Parameter 0 ABSCONV Function Criterion 1.340781E154 Line Search Method 2 Starting Alpha for Line Search 1 Line Search Precision LSPRECISION 0.4 DAMPSTEP Parameter for Line Search . MAXSTEP Parameter for Line Search 0 FD Derivatives: Accurate Digits in Obj.F 15.653559775 Singularity Tolerance (SINGULAR) 1E-8 Constraint Precision (LCEPS) 1E-8 Linearly Dependent Constraints (LCSING) 1E-8 Releasing Active Constraints (LCDEACT) . Dual Quasi-Newton Optimization Dual Broyden - Fletcher - Goldfarb - Shanno Update (DBFGS) Gradient Computed by Finite Differences Parameter Estimates 12 Lower Bounds 10 Upper Bounds 10 Optimization Start Active Constraints 0 Objective Function -9268645.18 Max Abs Gradient Element 0 Optimization Results Iterations 0 Function Calls 2 Gradient Calls 2 Active Constraints 0 Objective Function -9268645.18 Max Abs Gradient Element 0 Slope of Search Direction 0 ABSGCONV convergence criterion satisfied. The SAS System 07:46 Monday, October 16, 2017 7808 Optimization Results Parameter Estimates Gradient Objective N Parameter Estimate Function 1 X1 3.480000 0 2 X2 0.336000 0 3 X3 0.158000 0 4 X4 0.012500 0 5 X5 0.101000 0 6 X6 0.001250 0 7 X7 0.290000 0 8 X8 0.000000100 0 9 X9 0.000000100 0 10 X10 0.000000100 0 11 X11 0.000000100 0 12 X12 0.000000100 0 Value of Objective Function = -9268645.18 The SAS System 07:46 Monday, October 16, 2017 7809 Optimization Start Parameter Estimates Gradient Lower Upper Objective Bound Bound N Parameter Estimate Function Constraint Constraint 1 X1 3.480000 0 0 1E300 2 X2 0.336000 0 0 1E300 3 X3 0.158000 0 -1E300 1E300 4 X4 0.012500 0 -1E300 1E300 5 X5 0.101000 0 0 1E300 6 X6 0.001250 0 -1E300 1E300 7 X7 0.310000 0 -1.000000 1.000000 8 X8 0.000000100 0 1E-9 1E300 9 X9 0.000000100 0 1E-9 1E300 10 X10 0.000000100 0 1E-9 1E300 11 X11 0.000000100 0 . . 12 X12 0.000000100 0 . . Value of Objective Function = -9268645.179 The SAS System 07:46 Monday, October 16, 2017 7810 Dual Quasi-Newton Optimization Minimum Iterations 0 Maximum Iterations 2000 Maximum Function Calls 5000 ABSGCONV Gradient Criterion 0.00001 GCONV Gradient Criterion 1E-8 ABSFCONV Function Criterion 0 FCONV Function Criterion 2.220446E-16 FCONV2 Function Criterion 0 FSIZE Parameter 0 ABSXCONV Parameter Change Criterion 0 XCONV Parameter Change Criterion 0 XSIZE Parameter 0 ABSCONV Function Criterion 1.340781E154 Line Search Method 2 Starting Alpha for Line Search 1 Line Search Precision LSPRECISION 0.4 DAMPSTEP Parameter for Line Search . MAXSTEP Parameter for Line Search 0 FD Derivatives: Accurate Digits in Obj.F 15.653559775 Singularity Tolerance (SINGULAR) 1E-8 Constraint Precision (LCEPS) 1E-8 Linearly Dependent Constraints (LCSING) 1E-8 Releasing Active Constraints (LCDEACT) . Dual Quasi-Newton Optimization Dual Broyden - Fletcher - Goldfarb - Shanno Update (DBFGS) Gradient Computed by Finite Differences Parameter Estimates 12 Lower Bounds 10 Upper Bounds 10 Optimization Start Active Constraints 0 Objective Function -9268645.179 Max Abs Gradient Element 0 Optimization Results Iterations 0 Function Calls 2 Gradient Calls 2 Active Constraints 0 Objective Function -9268645.179 Max Abs Gradient Element 0 Slope of Search Direction 0 ABSGCONV convergence criterion satisfied. The SAS System 07:46 Monday, October 16, 2017 7811 Optimization Results Parameter Estimates Gradient Objective N Parameter Estimate Function 1 X1 3.480000 0 2 X2 0.336000 0 3 X3 0.158000 0 4 X4 0.012500 0 5 X5 0.101000 0 6 X6 0.001250 0 7 X7 0.310000 0 8 X8 0.000000100 0 9 X9 0.000000100 0 10 X10 0.000000100 0 11 X11 0.000000100 0 12 X12 0.000000100 0 Value of Objective Function = -9268645.179 The SAS System 07:46 Monday, October 16, 2017 7812 Optimization Start Parameter Estimates Gradient Lower Upper Objective Bound Bound N Parameter Estimate Function Constraint Constraint 1 X1 3.480000 0 0 1E300 2 X2 0.336000 0 0 1E300 3 X3 0.158000 0 -1E300 1E300 4 X4 0.012500 0 -1E300 1E300 5 X5 0.101000 0 0 1E300 6 X6 0.011250 0 -1E300 1E300 7 X7 0.290000 0 -1.000000 1.000000 8 X8 0.000000100 0 1E-9 1E300 9 X9 0.000000100 0 1E-9 1E300 10 X10 0.000000100 0 1E-9 1E300 11 X11 0.000000100 0 . . 12 X12 0.000000100 0 . . Value of Objective Function = -9268645.15 The SAS System 07:46 Monday, October 16, 2017 7813 Dual Quasi-Newton Optimization Minimum Iterations 0 Maximum Iterations 2000 Maximum Function Calls 5000 ABSGCONV Gradient Criterion 0.00001 GCONV Gradient Criterion 1E-8 ABSFCONV Function Criterion 0 FCONV Function Criterion 2.220446E-16 FCONV2 Function Criterion 0 FSIZE Parameter 0 ABSXCONV Parameter Change Criterion 0 XCONV Parameter Change Criterion 0 XSIZE Parameter 0 ABSCONV Function Criterion 1.340781E154 Line Search Method 2 Starting Alpha for Line Search 1 Line Search Precision LSPRECISION 0.4 DAMPSTEP Parameter for Line Search . MAXSTEP Parameter for Line Search 0 FD Derivatives: Accurate Digits in Obj.F 15.653559775 Singularity Tolerance (SINGULAR) 1E-8 Constraint Precision (LCEPS) 1E-8 Linearly Dependent Constraints (LCSING) 1E-8 Releasing Active Constraints (LCDEACT) . Dual Quasi-Newton Optimization Dual Broyden - Fletcher - Goldfarb - Shanno Update (DBFGS) Gradient Computed by Finite Differences Parameter Estimates 12 Lower Bounds 10 Upper Bounds 10 Optimization Start Active Constraints 0 Objective Function -9268645.15 Max Abs Gradient Element 0 Optimization Results Iterations 0 Function Calls 2 Gradient Calls 2 Active Constraints 0 Objective Function -9268645.15 Max Abs Gradient Element 0 Slope of Search Direction 0 ABSGCONV convergence criterion satisfied. The SAS System 07:46 Monday, October 16, 2017 7814 Optimization Results Parameter Estimates Gradient Objective N Parameter Estimate Function 1 X1 3.480000 0 2 X2 0.336000 0 3 X3 0.158000 0 4 X4 0.012500 0 5 X5 0.101000 0 6 X6 0.011250 0 7 X7 0.290000 0 8 X8 0.000000100 0 9 X9 0.000000100 0 10 X10 0.000000100 0 11 X11 0.000000100 0 12 X12 0.000000100 0 Value of Objective Function = -9268645.15 The SAS System 07:46 Monday, October 16, 2017 7815 Optimization Start Parameter Estimates Gradient Lower Upper Objective Bound Bound N Parameter Estimate Function Constraint Constraint 1 X1 3.480000 0 0 1E300 2 X2 0.336000 0 0 1E300 3 X3 0.158000 0 -1E300 1E300 4 X4 0.012500 0 -1E300 1E300 5 X5 0.101000 0 0 1E300 6 X6 0.011250 0 -1E300 1E300 7 X7 0.310000 0 -1.000000 1.000000 8 X8 0.000000100 0 1E-9 1E300 9 X9 0.000000100 0 1E-9 1E300 10 X10 0.000000100 0 1E-9 1E300 11 X11 0.000000100 0 . . 12 X12 0.000000100 0 . . Value of Objective Function = -9268645.15 The SAS System 07:46 Monday, October 16, 2017 7816 Dual Quasi-Newton Optimization Minimum Iterations 0 Maximum Iterations 2000 Maximum Function Calls 5000 ABSGCONV Gradient Criterion 0.00001 GCONV Gradient Criterion 1E-8 ABSFCONV Function Criterion 0 FCONV Function Criterion 2.220446E-16 FCONV2 Function Criterion 0 FSIZE Parameter 0 ABSXCONV Parameter Change Criterion 0 XCONV Parameter Change Criterion 0 XSIZE Parameter 0 ABSCONV Function Criterion 1.340781E154 Line Search Method 2 Starting Alpha for Line Search 1 Line Search Precision LSPRECISION 0.4 DAMPSTEP Parameter for Line Search . MAXSTEP Parameter for Line Search 0 FD Derivatives: Accurate Digits in Obj.F 15.653559775 Singularity Tolerance (SINGULAR) 1E-8 Constraint Precision (LCEPS) 1E-8 Linearly Dependent Constraints (LCSING) 1E-8 Releasing Active Constraints (LCDEACT) . Dual Quasi-Newton Optimization Dual Broyden - Fletcher - Goldfarb - Shanno Update (DBFGS) Gradient Computed by Finite Differences Parameter Estimates 12 Lower Bounds 10 Upper Bounds 10 Optimization Start Active Constraints 0 Objective Function -9268645.15 Max Abs Gradient Element 0 Optimization Results Iterations 0 Function Calls 2 Gradient Calls 2 Active Constraints 0 Objective Function -9268645.15 Max Abs Gradient Element 0 Slope of Search Direction 0 ABSGCONV convergence criterion satisfied. The SAS System 07:46 Monday, October 16, 2017 7817 Optimization Results Parameter Estimates Gradient Objective N Parameter Estimate Function 1 X1 3.480000 0 2 X2 0.336000 0 3 X3 0.158000 0 4 X4 0.012500 0 5 X5 0.101000 0 6 X6 0.011250 0 7 X7 0.310000 0 8 X8 0.000000100 0 9 X9 0.000000100 0 10 X10 0.000000100 0 11 X11 0.000000100 0 12 X12 0.000000100 0 Value of Objective Function = -9268645.15 The SAS System 07:46 Monday, October 16, 2017 7818 Optimization Start Parameter Estimates Gradient Lower Upper Objective Bound Bound N Parameter Estimate Function Constraint Constraint 1 X1 3.480000 0 0 1E300 2 X2 0.336000 0 0 1E300 3 X3 0.158000 0 -1E300 1E300 4 X4 0.012500 0 -1E300 1E300 5 X5 0.151000 0 0 1E300 6 X6 0.001250 0 -1E300 1E300 7 X7 0.290000 0 -1.000000 1.000000 8 X8 0.000000100 0 1E-9 1E300 9 X9 0.000000100 0 1E-9 1E300 10 X10 0.000000100 0 1E-9 1E300 11 X11 0.000000100 0 . . 12 X12 0.000000100 0 . . Value of Objective Function = -9268645.156 The SAS System 07:46 Monday, October 16, 2017 7819 Dual Quasi-Newton Optimization Minimum Iterations 0 Maximum Iterations 2000 Maximum Function Calls 5000 ABSGCONV Gradient Criterion 0.00001 GCONV Gradient Criterion 1E-8 ABSFCONV Function Criterion 0 FCONV Function Criterion 2.220446E-16 FCONV2 Function Criterion 0 FSIZE Parameter 0 ABSXCONV Parameter Change Criterion 0 XCONV Parameter Change Criterion 0 XSIZE Parameter 0 ABSCONV Function Criterion 1.340781E154 Line Search Method 2 Starting Alpha for Line Search 1 Line Search Precision LSPRECISION 0.4 DAMPSTEP Parameter for Line Search . MAXSTEP Parameter for Line Search 0 FD Derivatives: Accurate Digits in Obj.F 15.653559775 Singularity Tolerance (SINGULAR) 1E-8 Constraint Precision (LCEPS) 1E-8 Linearly Dependent Constraints (LCSING) 1E-8 Releasing Active Constraints (LCDEACT) . Dual Quasi-Newton Optimization Dual Broyden - Fletcher - Goldfarb - Shanno Update (DBFGS) Gradient Computed by Finite Differences Parameter Estimates 12 Lower Bounds 10 Upper Bounds 10 Optimization Start Active Constraints 0 Objective Function -9268645.156 Max Abs Gradient Element 0 Optimization Results Iterations 0 Function Calls 2 Gradient Calls 2 Active Constraints 0 Objective Function -9268645.156 Max Abs Gradient Element 0 Slope of Search Direction 0 ABSGCONV convergence criterion satisfied. The SAS System 07:46 Monday, October 16, 2017 7820 Optimization Results Parameter Estimates Gradient Objective N Parameter Estimate Function 1 X1 3.480000 0 2 X2 0.336000 0 3 X3 0.158000 0 4 X4 0.012500 0 5 X5 0.151000 0 6 X6 0.001250 0 7 X7 0.290000 0 8 X8 0.000000100 0 9 X9 0.000000100 0 10 X10 0.000000100 0 11 X11 0.000000100 0 12 X12 0.000000100 0 Value of Objective Function = -9268645.156 The SAS System 07:46 Monday, October 16, 2017 7821 Optimization Start Parameter Estimates Gradient Lower Upper Objective Bound Bound N Parameter Estimate Function Constraint Constraint 1 X1 3.480000 0 0 1E300 2 X2 0.336000 0 0 1E300 3 X3 0.158000 0 -1E300 1E300 4 X4 0.012500 0 -1E300 1E300 5 X5 0.151000 0 0 1E300 6 X6 0.001250 0 -1E300 1E300 7 X7 0.310000 0 -1.000000 1.000000 8 X8 0.000000100 0 1E-9 1E300 9 X9 0.000000100 0 1E-9 1E300 10 X10 0.000000100 0 1E-9 1E300 11 X11 0.000000100 0 . . 12 X12 0.000000100 0 . . Value of Objective Function = -9268645.156 The SAS System 07:46 Monday, October 16, 2017 7822 Dual Quasi-Newton Optimization Minimum Iterations 0 Maximum Iterations 2000 Maximum Function Calls 5000 ABSGCONV Gradient Criterion 0.00001 GCONV Gradient Criterion 1E-8 ABSFCONV Function Criterion 0 FCONV Function Criterion 2.220446E-16 FCONV2 Function Criterion 0 FSIZE Parameter 0 ABSXCONV Parameter Change Criterion 0 XCONV Parameter Change Criterion 0 XSIZE Parameter 0 ABSCONV Function Criterion 1.340781E154 Line Search Method 2 Starting Alpha for Line Search 1 Line Search Precision LSPRECISION 0.4 DAMPSTEP Parameter for Line Search . MAXSTEP Parameter for Line Search 0 FD Derivatives: Accurate Digits in Obj.F 15.653559775 Singularity Tolerance (SINGULAR) 1E-8 Constraint Precision (LCEPS) 1E-8 Linearly Dependent Constraints (LCSING) 1E-8 Releasing Active Constraints (LCDEACT) . Dual Quasi-Newton Optimization Dual Broyden - Fletcher - Goldfarb - Shanno Update (DBFGS) Gradient Computed by Finite Differences Parameter Estimates 12 Lower Bounds 10 Upper Bounds 10 Optimization Start Active Constraints 0 Objective Function -9268645.156 Max Abs Gradient Element 0 Optimization Results Iterations 0 Function Calls 2 Gradient Calls 2 Active Constraints 0 Objective Function -9268645.156 Max Abs Gradient Element 0 Slope of Search Direction 0 ABSGCONV convergence criterion satisfied. The SAS System 07:46 Monday, October 16, 2017 7823 Optimization Results Parameter Estimates Gradient Objective N Parameter Estimate Function 1 X1 3.480000 0 2 X2 0.336000 0 3 X3 0.158000 0 4 X4 0.012500 0 5 X5 0.151000 0 6 X6 0.001250 0 7 X7 0.310000 0 8 X8 0.000000100 0 9 X9 0.000000100 0 10 X10 0.000000100 0 11 X11 0.000000100 0 12 X12 0.000000100 0 Value of Objective Function = -9268645.156 The SAS System 07:46 Monday, October 16, 2017 7824 Optimization Start Parameter Estimates Gradient Lower Upper Objective Bound Bound N Parameter Estimate Function Constraint Constraint 1 X1 3.480000 0 0 1E300 2 X2 0.336000 0 0 1E300 3 X3 0.158000 0 -1E300 1E300 4 X4 0.012500 0 -1E300 1E300 5 X5 0.151000 0 0 1E300 6 X6 0.011250 0 -1E300 1E300 7 X7 0.290000 0 -1.000000 1.000000 8 X8 0.000000100 0 1E-9 1E300 9 X9 0.000000100 0 1E-9 1E300 10 X10 0.000000100 0 1E-9 1E300 11 X11 0.000000100 0 . . 12 X12 0.000000100 0 . . Value of Objective Function = -9268645.138 The SAS System 07:46 Monday, October 16, 2017 7825 Dual Quasi-Newton Optimization Minimum Iterations 0 Maximum Iterations 2000 Maximum Function Calls 5000 ABSGCONV Gradient Criterion 0.00001 GCONV Gradient Criterion 1E-8 ABSFCONV Function Criterion 0 FCONV Function Criterion 2.220446E-16 FCONV2 Function Criterion 0 FSIZE Parameter 0 ABSXCONV Parameter Change Criterion 0 XCONV Parameter Change Criterion 0 XSIZE Parameter 0 ABSCONV Function Criterion 1.340781E154 Line Search Method 2 Starting Alpha for Line Search 1 Line Search Precision LSPRECISION 0.4 DAMPSTEP Parameter for Line Search . MAXSTEP Parameter for Line Search 0 FD Derivatives: Accurate Digits in Obj.F 15.653559775 Singularity Tolerance (SINGULAR) 1E-8 Constraint Precision (LCEPS) 1E-8 Linearly Dependent Constraints (LCSING) 1E-8 Releasing Active Constraints (LCDEACT) . Dual Quasi-Newton Optimization Dual Broyden - Fletcher - Goldfarb - Shanno Update (DBFGS) Gradient Computed by Finite Differences Parameter Estimates 12 Lower Bounds 10 Upper Bounds 10 Optimization Start Active Constraints 0 Objective Function -9268645.138 Max Abs Gradient Element 0 Optimization Results Iterations 0 Function Calls 2 Gradient Calls 2 Active Constraints 0 Objective Function -9268645.138 Max Abs Gradient Element 0 Slope of Search Direction 0 ABSGCONV convergence criterion satisfied. The SAS System 07:46 Monday, October 16, 2017 7826 Optimization Results Parameter Estimates Gradient Objective N Parameter Estimate Function 1 X1 3.480000 0 2 X2 0.336000 0 3 X3 0.158000 0 4 X4 0.012500 0 5 X5 0.151000 0 6 X6 0.011250 0 7 X7 0.290000 0 8 X8 0.000000100 0 9 X9 0.000000100 0 10 X10 0.000000100 0 11 X11 0.000000100 0 12 X12 0.000000100 0 Value of Objective Function = -9268645.138 The SAS System 07:46 Monday, October 16, 2017 7827 Optimization Start Parameter Estimates Gradient Lower Upper Objective Bound Bound N Parameter Estimate Function Constraint Constraint 1 X1 3.480000 0 0 1E300 2 X2 0.336000 0 0 1E300 3 X3 0.158000 0 -1E300 1E300 4 X4 0.012500 0 -1E300 1E300 5 X5 0.151000 0 0 1E300 6 X6 0.011250 0 -1E300 1E300 7 X7 0.310000 0 -1.000000 1.000000 8 X8 0.000000100 0 1E-9 1E300 9 X9 0.000000100 0 1E-9 1E300 10 X10 0.000000100 0 1E-9 1E300 11 X11 0.000000100 0 . . 12 X12 0.000000100 0 . . Value of Objective Function = -9268645.137 The SAS System 07:46 Monday, October 16, 2017 7828 Dual Quasi-Newton Optimization Minimum Iterations 0 Maximum Iterations 2000 Maximum Function Calls 5000 ABSGCONV Gradient Criterion 0.00001 GCONV Gradient Criterion 1E-8 ABSFCONV Function Criterion 0 FCONV Function Criterion 2.220446E-16 FCONV2 Function Criterion 0 FSIZE Parameter 0 ABSXCONV Parameter Change Criterion 0 XCONV Parameter Change Criterion 0 XSIZE Parameter 0 ABSCONV Function Criterion 1.340781E154 Line Search Method 2 Starting Alpha for Line Search 1 Line Search Precision LSPRECISION 0.4 DAMPSTEP Parameter for Line Search . MAXSTEP Parameter for Line Search 0 FD Derivatives: Accurate Digits in Obj.F 15.653559775 Singularity Tolerance (SINGULAR) 1E-8 Constraint Precision (LCEPS) 1E-8 Linearly Dependent Constraints (LCSING) 1E-8 Releasing Active Constraints (LCDEACT) . Dual Quasi-Newton Optimization Dual Broyden - Fletcher - Goldfarb - Shanno Update (DBFGS) Gradient Computed by Finite Differences Parameter Estimates 12 Lower Bounds 10 Upper Bounds 10 Optimization Start Active Constraints 0 Objective Function -9268645.137 Max Abs Gradient Element 0 Optimization Results Iterations 0 Function Calls 2 Gradient Calls 2 Active Constraints 0 Objective Function -9268645.137 Max Abs Gradient Element 0 Slope of Search Direction 0 ABSGCONV convergence criterion satisfied. The SAS System 07:46 Monday, October 16, 2017 7829 Optimization Results Parameter Estimates Gradient Objective N Parameter Estimate Function 1 X1 3.480000 0 2 X2 0.336000 0 3 X3 0.158000 0 4 X4 0.012500 0 5 X5 0.151000 0 6 X6 0.011250 0 7 X7 0.310000 0 8 X8 0.000000100 0 9 X9 0.000000100 0 10 X10 0.000000100 0 11 X11 0.000000100 0 12 X12 0.000000100 0 Value of Objective Function = -9268645.137