diff options
author | Gael Guennebaud <g.gael@free.fr> | 2009-07-27 11:42:54 +0200 |
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committer | Gael Guennebaud <g.gael@free.fr> | 2009-07-27 11:42:54 +0200 |
commit | f95b77be6216db7b5448d7d728339cae81129bc9 (patch) | |
tree | 813c275adde58d57f1ab0bbc59f5df18a013a613 /test/product_trmv.cpp | |
parent | 6aba84719d09cf19a43a0e8356b010a0f37f2a5d (diff) |
trmm is now fully working and available via TriangularView::operator*
Diffstat (limited to 'test/product_trmv.cpp')
-rw-r--r-- | test/product_trmv.cpp | 92 |
1 files changed, 92 insertions, 0 deletions
diff --git a/test/product_trmv.cpp b/test/product_trmv.cpp new file mode 100644 index 000000000..876fb4388 --- /dev/null +++ b/test/product_trmv.cpp @@ -0,0 +1,92 @@ +// 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 product_triangular(const MatrixType& m) +{ + typedef typename MatrixType::Scalar Scalar; + typedef typename NumTraits<Scalar>::Real RealScalar; + typedef Matrix<Scalar, MatrixType::RowsAtCompileTime, 1> VectorType; + + RealScalar largerEps = 10*test_precision<RealScalar>(); + + int rows = m.rows(); + int 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::LowerTriangular>(); + VERIFY((m3 * v1).isApprox(m1.template triangularView<Eigen::LowerTriangular>() * v1, largerEps)); + m3 = m1.template triangularView<Eigen::UpperTriangular>(); + VERIFY((m3 * v1).isApprox(m1.template triangularView<Eigen::UpperTriangular>() * v1, largerEps)); + m3 = m1.template triangularView<Eigen::UnitLowerTriangular>(); + VERIFY((m3 * v1).isApprox(m1.template triangularView<Eigen::UnitLowerTriangular>() * v1, largerEps)); + m3 = m1.template triangularView<Eigen::UnitUpperTriangular>(); + VERIFY((m3 * v1).isApprox(m1.template triangularView<Eigen::UnitUpperTriangular>() * v1, largerEps)); + + // check conjugated and scalar multiple expressions (col-major) + m3 = m1.template triangularView<Eigen::LowerTriangular>(); + VERIFY(((s1*m3).conjugate() * v1).isApprox((s1*m1).conjugate().template triangularView<Eigen::LowerTriangular>() * v1, largerEps)); + m3 = m1.template triangularView<Eigen::UpperTriangular>(); + VERIFY((m3.conjugate() * v1.conjugate()).isApprox(m1.conjugate().template triangularView<Eigen::UpperTriangular>() * v1.conjugate(), largerEps)); + + // check with a row-major matrix + m3 = m1.template triangularView<Eigen::UpperTriangular>(); + VERIFY((m3.transpose() * v1).isApprox(m1.transpose().template triangularView<Eigen::LowerTriangular>() * v1, largerEps)); + m3 = m1.template triangularView<Eigen::LowerTriangular>(); + VERIFY((m3.transpose() * v1).isApprox(m1.transpose().template triangularView<Eigen::UpperTriangular>() * v1, largerEps)); + m3 = m1.template triangularView<Eigen::UnitUpperTriangular>(); + VERIFY((m3.transpose() * v1).isApprox(m1.transpose().template triangularView<Eigen::UnitLowerTriangular>() * v1, largerEps)); + m3 = m1.template triangularView<Eigen::UnitLowerTriangular>(); + VERIFY((m3.transpose() * v1).isApprox(m1.transpose().template triangularView<Eigen::UnitUpperTriangular>() * v1, largerEps)); + + // check conjugated and scalar multiple expressions (row-major) + m3 = m1.template triangularView<Eigen::UpperTriangular>(); + VERIFY((m3.adjoint() * v1).isApprox(m1.adjoint().template triangularView<Eigen::LowerTriangular>() * v1, largerEps)); + m3 = m1.template triangularView<Eigen::LowerTriangular>(); + VERIFY((m3.adjoint() * (s1*v1.conjugate())).isApprox(m1.adjoint().template triangularView<Eigen::UpperTriangular>() * (s1*v1.conjugate()), largerEps)); + m3 = m1.template triangularView<Eigen::UnitUpperTriangular>(); + + // TODO check with sub-matrices +} + +void test_product_triangular() +{ + for(int i = 0; i < g_repeat ; i++) { + CALL_SUBTEST( product_triangular(Matrix<float, 1, 1>()) ); + CALL_SUBTEST( product_triangular(Matrix<float, 2, 2>()) ); + CALL_SUBTEST( product_triangular(Matrix3d()) ); + CALL_SUBTEST( product_triangular(Matrix<std::complex<float>,23, 23>()) ); + CALL_SUBTEST( product_triangular(MatrixXcd(17,17)) ); + CALL_SUBTEST( product_triangular(Matrix<float,Dynamic,Dynamic,RowMajor>(19, 19)) ); + } +} |