70 lines
2.2 KiB
C++
70 lines
2.2 KiB
C++
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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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// This Source Code Form is subject to the terms of the Mozilla
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// Public License v. 2.0. If a copy of the MPL was not distributed
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// with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
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#include "main.h"
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#include <Eigen/QR>
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template<typename MatrixType> void qr(const MatrixType& m)
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{
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/* this test covers the following files:
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QR.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, MatrixType::ColsAtCompileTime> SquareMatrixType;
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typedef Matrix<Scalar, MatrixType::ColsAtCompileTime, 1> VectorType;
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MatrixType a = MatrixType::Random(rows,cols);
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QR<MatrixType> qrOfA(a);
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VERIFY_IS_APPROX(a, qrOfA.matrixQ() * qrOfA.matrixR());
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VERIFY_IS_NOT_APPROX(a+MatrixType::Identity(rows, cols), qrOfA.matrixQ() * qrOfA.matrixR());
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#if 0 // eigenvalues module not yet ready
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SquareMatrixType b = a.adjoint() * a;
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// check tridiagonalization
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Tridiagonalization<SquareMatrixType> tridiag(b);
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VERIFY_IS_APPROX(b, tridiag.matrixQ() * tridiag.matrixT() * tridiag.matrixQ().adjoint());
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// check hessenberg decomposition
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HessenbergDecomposition<SquareMatrixType> hess(b);
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VERIFY_IS_APPROX(b, hess.matrixQ() * hess.matrixH() * hess.matrixQ().adjoint());
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VERIFY_IS_APPROX(tridiag.matrixT(), hess.matrixH());
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b = SquareMatrixType::Random(cols,cols);
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hess.compute(b);
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VERIFY_IS_APPROX(b, hess.matrixQ() * hess.matrixH() * hess.matrixQ().adjoint());
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#endif
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}
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void test_eigen2_qr()
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{
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for(int i = 0; i < 1; i++) {
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CALL_SUBTEST_1( qr(Matrix2f()) );
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CALL_SUBTEST_2( qr(Matrix4d()) );
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CALL_SUBTEST_3( qr(MatrixXf(12,8)) );
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CALL_SUBTEST_4( qr(MatrixXcd(5,5)) );
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CALL_SUBTEST_4( qr(MatrixXcd(7,3)) );
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}
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#ifdef EIGEN_TEST_PART_5
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// small isFullRank test
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{
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Matrix3d mat;
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mat << 1, 45, 1, 2, 2, 2, 1, 2, 3;
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VERIFY(mat.qr().isFullRank());
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mat << 1, 1, 1, 2, 2, 2, 1, 2, 3;
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//always returns true in eigen2support
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//VERIFY(!mat.qr().isFullRank());
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}
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#endif
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}
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