Integer Constraints Not Working

[tanchinluh]

I was trying to use the FOT for linear programming problem with integer constraints, as the build in function Scilab is only meant for floating I think, I face following issue:

A = [-40 0 0 1 0 0 ; 0 -60 0 0 1 0 ; 0 0 -85 0 0 1 ; 0 0 0 -1 -1 -1];
B = [0 0 0 -750]';
C = [200 275 325 1.5 1.8 1.9]';
lb = [1 1 1 1 1 1]';
ub = [8 5 3 840 560 3*85]';
[xopt,fopt,exitflag,iter,yopt]=karmarkar([],[],C,[],[],[],[],[],A,B,lb,ub)
disp(xopt);
4.8766469
4.9990788
2.999906
195.06523
299.94403
254.99124

xopt = intlinprog(C,[1 2 3 4 5 6]',A,B,[],[],lb,ub)
disp(xopt);
4.875
5.
3.
195.
300.
255.

first 6 numbers are the optimised value using standard Scilab function, which is the floating point, while using he FOT with integer constraints, I expect to get the output all in integer, however, I get x(1) is 4.875.

Any advice? Thanks

[karolus80]

They do not take into account the second parameter (intcon) in the function.
(numintcons is always 0 / never set in matintlinprog / sci_intlinprog_matrixcpp.cpp)
Looks trivial to solve by passing the vector size from cbcmatrixintlinprog.sci which holds the definition of "fot_intlinprog" procedure but I was not able to verify it as the Cpp build(link) failing on my windows system

sigh....