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author | Stanislaw Halik <sthalik@misaki.pl> | 2016-09-18 12:42:15 +0200 |
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committer | Stanislaw Halik <sthalik@misaki.pl> | 2016-11-02 15:12:04 +0100 |
commit | 44861dcbfeee041223c4aac1ee075e92fa4daa01 (patch) | |
tree | 6dfdfd9637846a7aedd71ace97d7d2ad366496d7 /eigen/test/hessenberg.cpp | |
parent | f3fe458b9e0a29a99a39d47d9a76dc18964b6fec (diff) |
update
Diffstat (limited to 'eigen/test/hessenberg.cpp')
-rw-r--r-- | eigen/test/hessenberg.cpp | 62 |
1 files changed, 62 insertions, 0 deletions
diff --git a/eigen/test/hessenberg.cpp b/eigen/test/hessenberg.cpp new file mode 100644 index 0000000..96bc19e --- /dev/null +++ b/eigen/test/hessenberg.cpp @@ -0,0 +1,62 @@ +// This file is part of Eigen, a lightweight C++ template library +// for linear algebra. +// +// Copyright (C) 2009 Gael Guennebaud <gael.guennebaud@inria.fr> +// Copyright (C) 2010 Jitse Niesen <jitse@maths.leeds.ac.uk> +// +// This Source Code Form is subject to the terms of the Mozilla +// Public License v. 2.0. If a copy of the MPL was not distributed +// with this file, You can obtain one at http://mozilla.org/MPL/2.0/. + +#include "main.h" +#include <Eigen/Eigenvalues> + +template<typename Scalar,int Size> void hessenberg(int size = Size) +{ + typedef Matrix<Scalar,Size,Size> MatrixType; + + // Test basic functionality: A = U H U* and H is Hessenberg + for(int counter = 0; counter < g_repeat; ++counter) { + MatrixType m = MatrixType::Random(size,size); + HessenbergDecomposition<MatrixType> hess(m); + MatrixType Q = hess.matrixQ(); + MatrixType H = hess.matrixH(); + VERIFY_IS_APPROX(m, Q * H * Q.adjoint()); + for(int row = 2; row < size; ++row) { + for(int col = 0; col < row-1; ++col) { + VERIFY(H(row,col) == (typename MatrixType::Scalar)0); + } + } + } + + // Test whether compute() and constructor returns same result + MatrixType A = MatrixType::Random(size, size); + HessenbergDecomposition<MatrixType> cs1; + cs1.compute(A); + HessenbergDecomposition<MatrixType> cs2(A); + VERIFY_IS_EQUAL(cs1.matrixH().eval(), cs2.matrixH().eval()); + MatrixType cs1Q = cs1.matrixQ(); + MatrixType cs2Q = cs2.matrixQ(); + VERIFY_IS_EQUAL(cs1Q, cs2Q); + + // Test assertions for when used uninitialized + HessenbergDecomposition<MatrixType> hessUninitialized; + VERIFY_RAISES_ASSERT( hessUninitialized.matrixH() ); + VERIFY_RAISES_ASSERT( hessUninitialized.matrixQ() ); + VERIFY_RAISES_ASSERT( hessUninitialized.householderCoefficients() ); + VERIFY_RAISES_ASSERT( hessUninitialized.packedMatrix() ); + + // TODO: Add tests for packedMatrix() and householderCoefficients() +} + +void test_hessenberg() +{ + CALL_SUBTEST_1(( hessenberg<std::complex<double>,1>() )); + CALL_SUBTEST_2(( hessenberg<std::complex<double>,2>() )); + CALL_SUBTEST_3(( hessenberg<std::complex<float>,4>() )); + CALL_SUBTEST_4(( hessenberg<float,Dynamic>(internal::random<int>(1,EIGEN_TEST_MAX_SIZE)) )); + CALL_SUBTEST_5(( hessenberg<std::complex<double>,Dynamic>(internal::random<int>(1,EIGEN_TEST_MAX_SIZE)) )); + + // Test problem size constructors + CALL_SUBTEST_6(HessenbergDecomposition<MatrixXf>(10)); +} |