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+//Find x in R^6 such that:
+// An example with constraints and variable bounds
+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;
+
+//Output
+//
+//Optimal Solution Found.
+//
+// lower: [1x6 constant]
+// upper: [1x6 constant]
+// constraint: [1x5 constant]
+//
+// lambda
+//
+// Iterations: 13
+// ConstrViolation: 9.968D-09
+// output
+//
+// 0
+//
+// exitflag
+//
+// - 14.843248
+//
+// fopt
+//
+// 1.7975426
+// - 0.3381487
+// 0.1633880
+// - 4.9884023
+// 0.6054943
+// - 3.1155623
+//
+// xopt
+
+[xopt,fopt,exitflag,output,lambda]=qpipopt(nbVar,nbCon,H,f,lb,ub,A,conLB,conUB);
+
+disp("xopt",xopt,"fopt",fopt,"exitflag",exitflag,"output",output,"lambda",lambda)
+
+