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added a unit test for Inverse
discovered that m1 == m1.inverse().inverse() fails though m1.inverse()*m1 == I
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@ -80,6 +80,7 @@ EI_ADD_TEST(map)
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EI_ADD_TEST(triangular)
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EI_ADD_TEST(triangular)
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EI_ADD_TEST(cholesky)
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EI_ADD_TEST(cholesky)
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# EI_ADD_TEST(determinant)
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# EI_ADD_TEST(determinant)
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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(eigensolver)
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EI_ADD_TEST(eigensolver)
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69
test/inverse.cpp
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69
test/inverse.cpp
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@ -0,0 +1,69 @@
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// This file is part of Eigen, a lightweight C++ template library
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// for linear algebra. Eigen itself is part of the KDE project.
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//
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// Copyright (C) 2008 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/LU>
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template<typename MatrixType> void inverse(const MatrixType& m)
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{
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/* this test covers the following files:
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Inverse.h
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*/
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int rows = m.rows();
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int cols = m.cols();
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typedef typename MatrixType::Scalar Scalar;
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typedef Matrix<Scalar, MatrixType::ColsAtCompileTime, 1> VectorType;
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MatrixType m1 = MatrixType::random(rows, cols),
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m2 = MatrixType::random(rows, cols),
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m3(rows, cols),
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mzero = MatrixType::zero(rows, cols),
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identity = MatrixType::identity(rows, rows);
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m2 = m1.inverse();
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VERIFY_IS_APPROX(m1, m2.inverse() );
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m3 = (m1+m2).inverse();
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VERIFY_IS_APPROX(m3+m1, (m1+m2).inverse()+m1);
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VERIFY_IS_APPROX(m1, m1.inverse().eval().inverse() );
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VERIFY_IS_NOT_APPROX(m1, m1.inverse() );
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VERIFY_IS_APPROX(identity, m1.inverse() * m1 );
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VERIFY_IS_APPROX(identity, m1 * m1.inverse() );
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// this one fails:
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VERIFY_IS_APPROX(m1, (m1.inverse()).inverse() );
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}
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void test_inverse()
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{
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for(int i = 0; i < 1; i++) {
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CALL_SUBTEST( inverse(Matrix2f()) );
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CALL_SUBTEST( inverse(Matrix3f()) );
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CALL_SUBTEST( inverse(Matrix4d()) );
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// CALL_SUBTEST( inverse(MatrixXcd(7,7)) );
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}
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}
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