Hi community, I'm running a non-linear optimization in IML using NLPDD using two parameters, and would like to compare the final objective function values for many different sets of initial values (500 or so) by plotting the value as a surface. Can anyone recommend whether the best approach is to run my optimization many times and produce a plot using the result, or to try and create the plot directly from the function itself? If it's better to run the optimization many times, can anyone suggest a way to store the final value of the objective function in a dataset (with respective initial values), so I can leave it to run in a loop without having to check the output window after each run? Thanks ... View more