public void CholeskyDecompositionConstructorTest4()
{
// Based on tests by Ken Johnson
double[,] value = // positive-definite
{
{ 2, 0, 0 },
{ -1, 2, 0 },
{ 0, -1, 2 }
};
double[,] expected =
{
{ 1.4142, 0.0000, 0.0000 },
{ -0.7071, 1.2247, 0.0000 },
{ 0.0000, -0.8165, 1.1547 }
};
var chol = new CholeskyDecomposition(value, false, valueType: MatrixType.LowerTriangular);
double[,] L = chol.LeftTriangularFactor;
Assert.IsTrue(Matrix.IsEqual(L, expected, 1e-4));
Assert.AreEqual(4, chol.Determinant, 1e-10);
Assert.IsTrue(chol.IsPositiveDefinite);
Assert.IsTrue(Matrix.IsEqual(chol.Reverse(), value.GetSymmetric(type: MatrixType.LowerTriangular), 1e-4));
double[,] expected2 =
{
{ 1.0000, 0.0000, 0.0000 },
{ -0.5000, 1.0000, 0.0000 },
{ 0.0000, -0.6667, 1.0000 }
};
chol = new CholeskyDecomposition(value, robust: true, valueType: MatrixType.LowerTriangular);
L = chol.LeftTriangularFactor;
Assert.IsTrue(Matrix.IsEqual(L, expected2, 1e-4));
Assert.IsTrue(Matrix.IsEqual(chol.Reverse(), value.GetSymmetric(type: MatrixType.LowerTriangular), 1e-6));
Assert.IsTrue(chol.IsPositiveDefinite);
Assert.AreEqual(4, chol.Determinant, 1e-10);
}