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+//Find x in R^6 such that:
+// A simple example with constraints
+A= [1,-1,1,0,3,1;
+-1,0,-3,-4,5,6;
+2,5,3,0,1,0
+0,1,0,1,2,-1;
+-1,0,2,1,1,0];
+conLB=[1;2;3;-%inf;-%inf];
+conUB = [1;2;3;-1;2.5];
+lb=[-1000;-10000; 0; -1000; -1000; -1000];
+ub=[10000; 100; 1.5; 100; 100; 1000];
+//and minimize 0.5*x'*H*x + f'*x with
+f=[1; 2; 3; 4; 5; 6]; H=eye(6,6);
+nbVar = 6;
+nbCon = 5;
+x0 = repmat(0,nbVar,1);
+param = list("MaxIter", 1);
+
+//Output
+//Maximum Number of Iterations Exceeded. Output may not be optimal.
+// lambda =
+//
+// lower: [0x0 constant]
+// upper: [0x0 constant]
+// constraint: [0x0 constant]
+// output =
+//
+// Iterations: 1
+// exitflag =
+//
+// 1
+// fopt =
+//
+// - 9.9784864
+// xopt =
+//
+// 0.9103357
+// - 0.1104630
+// 0.0476471
+// - 2.0070896
+// 0.2116560
+// - 1.1624291
+
+[xopt,fopt,exitflag,output,lambda]=qpipopt(nbVar,nbCon,H,f,lb,ub,A,conLB,conUB,x0,param)
+
+