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+// Example with objective function, equality and inequality constraints
+
+function y=fun(x)
+y=x(1)*x(1)+x(2)*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];
+Aeq = [1,3]
+beq= [1.5]
+
+//Output
+//Optimal Solution Found.
+// hessian =
+//
+// 2. 0.
+// 0. 2.
+// gradient =
+//
+// 1.5 0.5000000
+// lambda =
+//
+// lower: [0,0]
+// upper: [0,0]
+// ineqlin: [9.089D-09,4.842D-08,6.059D-09,6.324D-09,2.0000001,3.637D-09]
+// eqlin: 0.5000000
+// ineqnonlin: [0x0 constant]
+// eqnonlin: [0x0 constant]
+// output =
+//
+// Iterations: 8
+// Cpu_Time: 0.092
+// Objective_Evaluation: 9
+// Dual_Infeasibility: 1.869D-11
+// exitflag =
+//
+// 0
+// fopt =
+//
+// 0.6250000
+// x0pt =
+//
+// 0.7500000
+// 0.25
+
+[x0pt,fopt,exitflag,gradient,hessian] = intfmincon(f,x0,intcon, A, b,Aeq,beq)