Hi,
I'm trying to solve a nested optimization problem with SAS/IML, specifically):
I'm not sure how to handle the input vs global variables in this case (which I think is why it is not working). I don't know how to handle z. This is what i have so far:
/* function P*/
start P(z) global(h,b,p1,p2,a_inter,X_I);
return( sum(h#(CDF('NORMAL',(b-p1#(X_I*(a_inter*(z`))))/p2))) );
finish;
/* derivative of theta function*/
start deri(theta_x) global(l,h,z);
return( l - sum(P(z)#h#exp(h*theta_x)/( P(z)#(exp(h*theta_x)-1) + 1 ) ) );
finish;
/* finding root of theta function*/
start theta(z);
bounds = {0,10000};
return( froot( "deri", bounds) );
finish;
/*main function*/
start Func(z) global(l,h);
return( -theta(z)*l + (sum(log(1 + P(z)#(exp(h#theta(z)) - 1) ) )) - 0.5*z*(z`) );
finish;
z = RANDNORMAL(S,0, 1); /*x0*/
z = (z`);
opt = {1,2};
call nlpnra(rc, result, "Func", z, opt);
Given that the equations are done correctly, how would I set this up so that the root/derivative function can make use if the current z that the optimization algorithm is evaluating? Is there something else that is wrong?
You haven't defined S, l, or h.
I suggest you start by reading the article "Ten tips before you run an optimization." You also might want to look at "Optimizing a function of an integral," which optimizes a function that in turn calls other functions.
You haven't defined S, l, or h.
I suggest you start by reading the article "Ten tips before you run an optimization." You also might want to look at "Optimizing a function of an integral," which optimizes a function that in turn calls other functions.
I should have shown the step where i define them, my bad. (They are all vectors of length 1xN)
I'll start reading up on what you linked me, thank you!
Haven't looked through your functions in depth, but have have a few parameters, which you have not defined yet. Eg S and I.
Also, why do you set z = (z`) ?
Sorry for the confusion, i should have shown the step where I import the other variables, all of them are defined vectors (1xN)
When trying the function one by one it seemed as z was transposed when i sent it in so i just did that as a quick fix.
Registration is open! SAS is returning to Vegas for an AI and analytics experience like no other! Whether you're an executive, manager, end user or SAS partner, SAS Innovate is designed for everyone on your team. Register for just $495 by 12/31/2023.
If you are interested in speaking, there is still time to submit a session idea. More details are posted on the website.
Learn how to run multiple linear regression models with and without interactions, presented by SAS user Alex Chaplin.
Find more tutorials on the SAS Users YouTube channel.