Ejemplo n.º 1
0
 public void PartialDerivative02()
 {
     double tVal=-2;
     double eps=1e-5;
     double[] vector = {0,0,0};
     TestFunction f = new TestFunction();
     double der = f.GetPartialDerivativeVal(0,2,vector);
     Assert.IsTrue(System.Math.Abs(tVal-der)<=eps);
 }
Ejemplo n.º 2
0
 public void Hessian()
 {
     double eps = 1e-5;
     double[] vector = {0,0,0};
     double[][] result = {new double[]{10.0, 2.0, -2.0},
                             new double[]{ 2.0, 4.0,  2.0},
                             new double[]{-2.0, 2.0,  4.0}};
     GeneralMatrix expectedMatrix = new GeneralMatrix(result);
     TestFunction f = new TestFunction();
     GeneralMatrix hessian = f.CalculateHessian(vector);
     for (int i=0;i<3; i++)
         for (int j=0;j<3; j++)
             Assert.IsTrue(System.Math.Abs(hessian.GetElement(i,j)-expectedMatrix.GetElement(i,j))<eps);
 }
Ejemplo n.º 3
0
 public void FitDFP1()
 {
     double eps = 1e-5;
         double rEps = eps*10;
         double step = 1;
         int itMax=50;
         double[] vector = {0,0,0};
         double[] expVector = {1,-2,3};
         TestFunction f = new TestFunction();
         int dim = f.Dimension;
         DFP alg = new DFP(dim, vector, f, step, eps, itMax);
         alg.FindMinimum();
         Assert.IsTrue(Diff(expVector,alg.Minimum,dim)<rEps);
 }