The quadratic programming problem is to minimize
subject to
using System; using Imsl.Math; public class QuadraticProgrammingEx2 { public static void Main(String[] args) { double[,] h = { {2, 0, 0}, {0, 2, 0}, {0, 0, 2} }; double[,] aeq = { {1, 2, - 1}, {1, - 1, 1} }; double[] beq = new double[]{4, - 2}; double[] g = new double[]{0, 0, 0}; QuadraticProgramming qp = new QuadraticProgramming(h, g, aeq, beq, null, null); // Print the solution and its dual new PrintMatrix("x").Print(qp.GetSolution()); new PrintMatrix("dual").Print(qp.GetDualSolution()); } }
x 0 0 0.285714285714286 1 1.42857142857143 2 -0.857142857142857 dual 0 0 1.14285714285714 1 -0.571428571428572 2 0Link to C# source.