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fix #75, and add a basic unit test for Hessenberg
(it was indirectly tested by the eigenvalue decomposition)
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@ -71,9 +71,11 @@ template<typename _MatrixType> class HessenbergDecomposition
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{}
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{}
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HessenbergDecomposition(const MatrixType& matrix)
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HessenbergDecomposition(const MatrixType& matrix)
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: m_matrix(matrix),
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: m_matrix(matrix)
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m_hCoeffs(matrix.cols()-1)
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{
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{
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if(matrix.rows()<=2)
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return;
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m_hCoeffs.resize(matrix.rows()-1,1);
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_compute(m_matrix, m_hCoeffs);
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_compute(m_matrix, m_hCoeffs);
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}
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}
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@ -84,6 +86,8 @@ template<typename _MatrixType> class HessenbergDecomposition
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void compute(const MatrixType& matrix)
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void compute(const MatrixType& matrix)
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{
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{
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m_matrix = matrix;
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m_matrix = matrix;
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if(matrix.rows()<=2)
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return;
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m_hCoeffs.resize(matrix.rows()-1,1);
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m_hCoeffs.resize(matrix.rows()-1,1);
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_compute(m_matrix, m_hCoeffs);
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_compute(m_matrix, m_hCoeffs);
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}
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}
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@ -127,6 +127,7 @@ ei_add_test(inverse)
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ei_add_test(qr)
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ei_add_test(qr)
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ei_add_test(qr_colpivoting)
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ei_add_test(qr_colpivoting)
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ei_add_test(qr_fullpivoting)
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ei_add_test(qr_fullpivoting)
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ei_add_test(hessenberg " " "${GSL_LIBRARIES}")
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ei_add_test(eigensolver_selfadjoint " " "${GSL_LIBRARIES}")
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ei_add_test(eigensolver_selfadjoint " " "${GSL_LIBRARIES}")
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ei_add_test(eigensolver_generic " " "${GSL_LIBRARIES}")
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ei_add_test(eigensolver_generic " " "${GSL_LIBRARIES}")
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ei_add_test(eigensolver_complex)
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ei_add_test(eigensolver_complex)
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46
test/hessenberg.cpp
Normal file
46
test/hessenberg.cpp
Normal file
@ -0,0 +1,46 @@
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// This file is part of Eigen, a lightweight C++ template library
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// for linear algebra.
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//
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// Copyright (C) 2009 Gael Guennebaud <g.gael@free.fr>
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//
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// Eigen is free software; you can redistribute it and/or
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// modify it under the terms of the GNU Lesser General Public
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// License as published by the Free Software Foundation; either
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// version 3 of the License, or (at your option) any later version.
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//
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// Alternatively, you can redistribute it and/or
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// modify it under the terms of the GNU General Public License as
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// published by the Free Software Foundation; either version 2 of
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// the License, or (at your option) any later version.
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//
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// Eigen is distributed in the hope that it will be useful, but WITHOUT ANY
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// WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS
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// FOR A PARTICULAR PURPOSE. See the GNU Lesser General Public License or the
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// GNU General Public License for more details.
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//
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// You should have received a copy of the GNU Lesser General Public
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// License and a copy of the GNU General Public License along with
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// Eigen. If not, see <http://www.gnu.org/licenses/>.
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#include "main.h"
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#include <Eigen/Eigenvalues>
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template<typename Scalar,int Size> void hessenberg(int size = Size)
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{
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typedef Matrix<Scalar,Size,Size> MatrixType;
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MatrixType m = MatrixType::Random(size,size);
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HessenbergDecomposition<MatrixType> hess(m);
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VERIFY_IS_APPROX(m, hess.matrixQ() * hess.matrixH() * hess.matrixQ().adjoint());
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}
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void test_hessenberg()
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{
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for(int i = 0; i < g_repeat; i++) {
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CALL_SUBTEST_1(( hessenberg<std::complex<double>,1>() ));
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CALL_SUBTEST_2(( hessenberg<std::complex<double>,2>() ));
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CALL_SUBTEST_3(( hessenberg<std::complex<float>,4>() ));
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CALL_SUBTEST_4(( hessenberg<float,Dynamic>(ei_random<int>(1,320)) ));
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CALL_SUBTEST_5(( hessenberg<std::complex<double>,Dynamic>(ei_random<int>(1,320)) ));
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}
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}
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