proc nlp initializing values

[CerditoSalvaje]

Hello everyone,

I would like to initialize the values of my parameters x1 and x2, by picking them from a table. My table nr has two variables x1 and x2, with one value for each.

My objective function is a function that I have defined in a previous proc fcmp.

proc nlp tech=NEWRAP invar=two(type=PARMS) gradcheck=detail gconv2=1e12 ;
min f;
decvar x1 x2;
f = (1-x1)*2+100(x2-x1*2)*2;
run;

Thanks!

[Rick_SAS · Accepted solution]

You can use the INEST= data set to specify initial values for the decision variables. 

data Two(type=EST);
_TYPE_ = "PARMS";
input x1 x2;
datalines;
 1 2
-1 -1 
 1 0
;


proc nlp tech=NEWRAP invar=two gradcheck=detail gconv2=1e12 ;
min f;
decvar x1 x2;
f = (1-x1)**2+100*(x2-x1**2)**2;
run;

[ChanceTGardener]

If you wanted to go the OPTMODEL route. 

data Two;
input x1 x2;
datalines;
 1 2
-1 -1 
 1 0
;

proc optmodel;

set <num> INIT;

num x1_init{INIT};
num x2_init{INIT};

read data Two into INIT=[_N_] x1_init=x1 x2_init=x2;

num iter;
num optimal_x1{INIT};
num optimal_x2{INIT};
num optimal_f{INIT};

*print x1_init x2_init;

var x1{i in INIT} init x1_init[i];
var x2{i in INIT} init x2_init[i];

min f = (1-x1[iter])**2+100*(x2[iter]-x1[iter]**2)**2;

do iter=1 to card(INIT);
 solve with nlp;
  for {i in INIT: iter=i} do;
    optimal_x1[i] = x1[i].sol;
    optimal_x2[i] = x2[i].sol;
    optimal_f[i] = f.sol;
  end;
end;

create data results from [scenario]=INIT x1_init x2_init optimal_x1 optimal_x2 optimal_f;

quit;