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// Example with objective function using log functions
function y=fun(x)
y=log(x(1)+x(2));
endfunction
x0 = [1,2];
A=[1,1 ; 1,1/4 ; 1,-1 ; -1/4,-1 ; -1,-1 ; -1,1];
b=[2;1;2;1;-1;2];
//Output
//Optimal Solution Found.
// hessian =
//
// - 1.0000001 3.95D-323
// - 1. - 1.
// gradient =
//
// 1. 1.
// lambda =
//
// lower: [0,0]
// upper: [0,0]
// ineqlin: [9.091D-09,1.384D-08,3.304D-09,4.768D-09,1,7.281D-09]
// eqlin: [0x0 constant]
// ineqnonlin: [0x0 constant]
// eqnonlin: [0x0 constant]
// output =
//
// Iterations: 13
// Cpu_Time: 0.228
// Objective_Evaluation: 14
// Dual_Infeasibility: 3.040D-09
// Message: "Optimal Solution Found"
// exitflag =
//
// 0
// fopt =
//
// - 9.091D-10
// xopt =
//
// 0.1243037
// 0.8756963
[xopt,fopt,exitflag,output,lambda,gradient,hessian] = fmincon (fun, x0, A, b)
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