Hi community,
my function to optimize is min (l-q).'*z-s.'*y in which .' indicates the transpose.
the constraints for this fucntion are y=x-A1.'*z 0<z<d , y>0 z&y are the decision variables
The given data to use in the function is given below. The difficulty that arises is that the variables of Z & Y do not have the same dimensions as z=[Z] and y=[Y1;Y2] when trying to solve this function. An error pops up: Error using linprog (line 222)
The number of rows in Aeq must be the same as the number of elements of beq. This is because x has 2 rows in my case and Aeq only 1. I cannot find a propper definition for Aeq so that my function works.
does anyone have an idea how I can fix this? Or best handle optimizing 2 variables with different dimensions?
Thank you
l = 0.25;q = 2; s = 1; A1 = [1, 1];x = [20;25];d = 120;f= [-s.', l-q.'];Aeq = [1, A1]; beq = x;lb = [0, 0];ub = [Inf, d];sol = linprog(f,[],[],Aeq,beq,lb,ub);y = sol(1)z = sol(2)
Best Answer