1// This file is triangularView of Eigen, a lightweight C++ template library 2// for linear algebra. 3// 4// Copyright (C) 2008-2009 Gael Guennebaud <gael.guennebaud@inria.fr> 5// 6// This Source Code Form is subject to the terms of the Mozilla 7// Public License v. 2.0. If a copy of the MPL was not distributed 8// with this file, You can obtain one at http://mozilla.org/MPL/2.0/. 9 10#include "main.h" 11 12template<typename MatrixType> void trmv(const MatrixType& m) 13{ 14 typedef typename MatrixType::Index Index; 15 typedef typename MatrixType::Scalar Scalar; 16 typedef typename NumTraits<Scalar>::Real RealScalar; 17 typedef Matrix<Scalar, MatrixType::RowsAtCompileTime, 1> VectorType; 18 19 RealScalar largerEps = 10*test_precision<RealScalar>(); 20 21 Index rows = m.rows(); 22 Index cols = m.cols(); 23 24 MatrixType m1 = MatrixType::Random(rows, cols), 25 m3(rows, cols); 26 VectorType v1 = VectorType::Random(rows); 27 28 Scalar s1 = internal::random<Scalar>(); 29 30 m1 = MatrixType::Random(rows, cols); 31 32 // check with a column-major matrix 33 m3 = m1.template triangularView<Eigen::Lower>(); 34 VERIFY((m3 * v1).isApprox(m1.template triangularView<Eigen::Lower>() * v1, largerEps)); 35 m3 = m1.template triangularView<Eigen::Upper>(); 36 VERIFY((m3 * v1).isApprox(m1.template triangularView<Eigen::Upper>() * v1, largerEps)); 37 m3 = m1.template triangularView<Eigen::UnitLower>(); 38 VERIFY((m3 * v1).isApprox(m1.template triangularView<Eigen::UnitLower>() * v1, largerEps)); 39 m3 = m1.template triangularView<Eigen::UnitUpper>(); 40 VERIFY((m3 * v1).isApprox(m1.template triangularView<Eigen::UnitUpper>() * v1, largerEps)); 41 42 // check conjugated and scalar multiple expressions (col-major) 43 m3 = m1.template triangularView<Eigen::Lower>(); 44 VERIFY(((s1*m3).conjugate() * v1).isApprox((s1*m1).conjugate().template triangularView<Eigen::Lower>() * v1, largerEps)); 45 m3 = m1.template triangularView<Eigen::Upper>(); 46 VERIFY((m3.conjugate() * v1.conjugate()).isApprox(m1.conjugate().template triangularView<Eigen::Upper>() * v1.conjugate(), largerEps)); 47 48 // check with a row-major matrix 49 m3 = m1.template triangularView<Eigen::Upper>(); 50 VERIFY((m3.transpose() * v1).isApprox(m1.transpose().template triangularView<Eigen::Lower>() * v1, largerEps)); 51 m3 = m1.template triangularView<Eigen::Lower>(); 52 VERIFY((m3.transpose() * v1).isApprox(m1.transpose().template triangularView<Eigen::Upper>() * v1, largerEps)); 53 m3 = m1.template triangularView<Eigen::UnitUpper>(); 54 VERIFY((m3.transpose() * v1).isApprox(m1.transpose().template triangularView<Eigen::UnitLower>() * v1, largerEps)); 55 m3 = m1.template triangularView<Eigen::UnitLower>(); 56 VERIFY((m3.transpose() * v1).isApprox(m1.transpose().template triangularView<Eigen::UnitUpper>() * v1, largerEps)); 57 58 // check conjugated and scalar multiple expressions (row-major) 59 m3 = m1.template triangularView<Eigen::Upper>(); 60 VERIFY((m3.adjoint() * v1).isApprox(m1.adjoint().template triangularView<Eigen::Lower>() * v1, largerEps)); 61 m3 = m1.template triangularView<Eigen::Lower>(); 62 VERIFY((m3.adjoint() * (s1*v1.conjugate())).isApprox(m1.adjoint().template triangularView<Eigen::Upper>() * (s1*v1.conjugate()), largerEps)); 63 m3 = m1.template triangularView<Eigen::UnitUpper>(); 64 65 // check transposed cases: 66 m3 = m1.template triangularView<Eigen::Lower>(); 67 VERIFY((v1.transpose() * m3).isApprox(v1.transpose() * m1.template triangularView<Eigen::Lower>(), largerEps)); 68 VERIFY((v1.adjoint() * m3).isApprox(v1.adjoint() * m1.template triangularView<Eigen::Lower>(), largerEps)); 69 VERIFY((v1.adjoint() * m3.adjoint()).isApprox(v1.adjoint() * m1.template triangularView<Eigen::Lower>().adjoint(), largerEps)); 70 71 // TODO check with sub-matrices 72} 73 74void test_product_trmv() 75{ 76 int s; 77 for(int i = 0; i < g_repeat ; i++) { 78 CALL_SUBTEST_1( trmv(Matrix<float, 1, 1>()) ); 79 CALL_SUBTEST_2( trmv(Matrix<float, 2, 2>()) ); 80 CALL_SUBTEST_3( trmv(Matrix3d()) ); 81 s = internal::random<int>(1,EIGEN_TEST_MAX_SIZE/2); 82 CALL_SUBTEST_4( trmv(MatrixXcf(s,s)) ); 83 s = internal::random<int>(1,EIGEN_TEST_MAX_SIZE/2); 84 CALL_SUBTEST_5( trmv(MatrixXcd(s,s)) ); 85 s = internal::random<int>(1,EIGEN_TEST_MAX_SIZE); 86 CALL_SUBTEST_6( trmv(Matrix<float,Dynamic,Dynamic,RowMajor>(s, s)) ); 87 } 88 EIGEN_UNUSED_VARIABLE(s); 89} 90