| // 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)) ); | 
 |   } | 
 | } |