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// Example with objective function and inequality constraints
function y=fun(x)
y=sum((sin(x)).^2 + (cos(x)).^2)
endfunction
x0 = [repmat(1,1,3)];
A=[-1,-5,-3; -0.5,-2.5 -1.5;];
b=[-100 -50]';
lb = repmat(0,1,3);
intcon=[1,2];
function [c,ceq]=nlc(x)
c = [ -sum((sin(x)).^2 + (cos(x)).^2) + 1.5];
ceq = [];
endfunction
// Optimal Solution Found.
// hessian =
// 0. 0. 0. 0. 0. 0. 0. 0. 0.
// gradient =
// 0. 0. 0.
// exitflag =
// 0
// fopt =
// 3.
// x0pt =
// 4115.
// 519.
// 52357.435
[x0pt,fopt,exitflag,gradient,hessian] = intfmincon(fun,x0,intcon,A,b,[],[],lb,[],nlc)
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