|  | // This file is triangularView of Eigen, a lightweight C++ template library | 
|  | // for linear algebra. | 
|  | // | 
|  | // Copyright (C) 2008-2009 Gael Guennebaud <gael.guennebaud@gmail.com> | 
|  | // | 
|  | // Eigen is free software; you can redistribute it and/or | 
|  | // modify it under the terms of the GNU Lesser General Public | 
|  | // License as published by the Free Software Foundation; either | 
|  | // version 3 of the License, or (at your option) any later version. | 
|  | // | 
|  | // Alternatively, you can redistribute it and/or | 
|  | // modify it under the terms of the GNU General Public License as | 
|  | // published by the Free Software Foundation; either version 2 of | 
|  | // the License, or (at your option) any later version. | 
|  | // | 
|  | // Eigen is distributed in the hope that it will be useful, but WITHOUT ANY | 
|  | // WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS | 
|  | // FOR A PARTICULAR PURPOSE. See the GNU Lesser General Public License or the | 
|  | // GNU General Public License for more details. | 
|  | // | 
|  | // You should have received a copy of the GNU Lesser General Public | 
|  | // License and a copy of the GNU General Public License along with | 
|  | // Eigen. If not, see <http://www.gnu.org/licenses/>. | 
|  |  | 
|  | #include "main.h" | 
|  |  | 
|  | template<typename MatrixType> void trmv(const MatrixType& m) | 
|  | { | 
|  | typedef typename MatrixType::Index Index; | 
|  | typedef typename MatrixType::Scalar Scalar; | 
|  | typedef typename NumTraits<Scalar>::Real RealScalar; | 
|  | typedef Matrix<Scalar, MatrixType::RowsAtCompileTime, 1> VectorType; | 
|  |  | 
|  | RealScalar largerEps = 10*test_precision<RealScalar>(); | 
|  |  | 
|  | Index rows = m.rows(); | 
|  | Index cols = m.cols(); | 
|  |  | 
|  | MatrixType m1 = MatrixType::Random(rows, cols), | 
|  | m3(rows, cols); | 
|  | VectorType v1 = VectorType::Random(rows); | 
|  |  | 
|  | Scalar s1 = ei_random<Scalar>(); | 
|  |  | 
|  | m1 = MatrixType::Random(rows, cols); | 
|  |  | 
|  | // check with a column-major matrix | 
|  | m3 = m1.template triangularView<Eigen::Lower>(); | 
|  | VERIFY((m3 * v1).isApprox(m1.template triangularView<Eigen::Lower>() * v1, largerEps)); | 
|  | m3 = m1.template triangularView<Eigen::Upper>(); | 
|  | VERIFY((m3 * v1).isApprox(m1.template triangularView<Eigen::Upper>() * v1, largerEps)); | 
|  | m3 = m1.template triangularView<Eigen::UnitLower>(); | 
|  | VERIFY((m3 * v1).isApprox(m1.template triangularView<Eigen::UnitLower>() * v1, largerEps)); | 
|  | m3 = m1.template triangularView<Eigen::UnitUpper>(); | 
|  | VERIFY((m3 * v1).isApprox(m1.template triangularView<Eigen::UnitUpper>() * v1, largerEps)); | 
|  |  | 
|  | // check conjugated and scalar multiple expressions (col-major) | 
|  | m3 = m1.template triangularView<Eigen::Lower>(); | 
|  | VERIFY(((s1*m3).conjugate() * v1).isApprox((s1*m1).conjugate().template triangularView<Eigen::Lower>() * v1, largerEps)); | 
|  | m3 = m1.template triangularView<Eigen::Upper>(); | 
|  | VERIFY((m3.conjugate() * v1.conjugate()).isApprox(m1.conjugate().template triangularView<Eigen::Upper>() * v1.conjugate(), largerEps)); | 
|  |  | 
|  | // check with a row-major matrix | 
|  | m3 = m1.template triangularView<Eigen::Upper>(); | 
|  | VERIFY((m3.transpose() * v1).isApprox(m1.transpose().template triangularView<Eigen::Lower>() * v1, largerEps)); | 
|  | m3 = m1.template triangularView<Eigen::Lower>(); | 
|  | VERIFY((m3.transpose() * v1).isApprox(m1.transpose().template triangularView<Eigen::Upper>() * v1, largerEps)); | 
|  | m3 = m1.template triangularView<Eigen::UnitUpper>(); | 
|  | VERIFY((m3.transpose() * v1).isApprox(m1.transpose().template triangularView<Eigen::UnitLower>() * v1, largerEps)); | 
|  | m3 = m1.template triangularView<Eigen::UnitLower>(); | 
|  | VERIFY((m3.transpose() * v1).isApprox(m1.transpose().template triangularView<Eigen::UnitUpper>() * v1, largerEps)); | 
|  |  | 
|  | // check conjugated and scalar multiple expressions (row-major) | 
|  | m3 = m1.template triangularView<Eigen::Upper>(); | 
|  | VERIFY((m3.adjoint() * v1).isApprox(m1.adjoint().template triangularView<Eigen::Lower>() * v1, largerEps)); | 
|  | m3 = m1.template triangularView<Eigen::Lower>(); | 
|  | VERIFY((m3.adjoint() * (s1*v1.conjugate())).isApprox(m1.adjoint().template triangularView<Eigen::Upper>() * (s1*v1.conjugate()), largerEps)); | 
|  | m3 = m1.template triangularView<Eigen::UnitUpper>(); | 
|  |  | 
|  | // check transposed cases: | 
|  | m3 = m1.template triangularView<Eigen::Lower>(); | 
|  | VERIFY((v1.transpose() * m3).isApprox(v1.transpose() * m1.template triangularView<Eigen::Lower>(), largerEps)); | 
|  | VERIFY((v1.adjoint() * m3).isApprox(v1.adjoint() * m1.template triangularView<Eigen::Lower>(), largerEps)); | 
|  | VERIFY((v1.adjoint() * m3.adjoint()).isApprox(v1.adjoint() * m1.template triangularView<Eigen::Lower>().adjoint(), largerEps)); | 
|  |  | 
|  | // TODO check with sub-matrices | 
|  | } | 
|  |  | 
|  | void test_product_trmv() | 
|  | { | 
|  | for(int i = 0; i < g_repeat ; i++) { | 
|  | CALL_SUBTEST_1( trmv(Matrix<float, 1, 1>()) ); | 
|  | CALL_SUBTEST_2( trmv(Matrix<float, 2, 2>()) ); | 
|  | CALL_SUBTEST_3( trmv(Matrix3d()) ); | 
|  | CALL_SUBTEST_4( trmv(Matrix<std::complex<float>,23, 23>()) ); | 
|  | CALL_SUBTEST_5( trmv(MatrixXcd(17,17)) ); | 
|  | CALL_SUBTEST_6( trmv(Matrix<float,Dynamic,Dynamic,RowMajor>(19, 19)) ); | 
|  | } | 
|  | } |