93 lines
		
	
	
		
			4.2 KiB
		
	
	
	
		
			C++
		
	
	
	
	
	
			
		
		
	
	
			93 lines
		
	
	
		
			4.2 KiB
		
	
	
	
		
			C++
		
	
	
	
	
	
| // This file is triangularView of Eigen, a lightweight C++ template library
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| // for linear algebra.
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| //
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| // Copyright (C) 2008-2009 Gael Guennebaud <gael.guennebaud@inria.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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| 
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| #include "main.h"
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| 
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| template <typename MatrixType>
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| void trmv(const MatrixType& m) {
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|   typedef typename MatrixType::Scalar Scalar;
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|   typedef typename NumTraits<Scalar>::Real RealScalar;
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|   typedef Matrix<Scalar, MatrixType::RowsAtCompileTime, 1> VectorType;
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| 
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|   RealScalar largerEps = 10 * test_precision<RealScalar>();
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| 
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|   Index rows = m.rows();
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|   Index cols = m.cols();
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| 
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|   MatrixType m1 = MatrixType::Random(rows, cols), m3(rows, cols);
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|   VectorType v1 = VectorType::Random(rows);
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| 
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|   Scalar s1 = internal::random<Scalar>();
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| 
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|   m1 = MatrixType::Random(rows, cols);
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| 
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|   // check with a column-major matrix
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|   m3 = m1.template triangularView<Eigen::Lower>();
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|   VERIFY((m3 * v1).isApprox(m1.template triangularView<Eigen::Lower>() * v1, largerEps));
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|   m3 = m1.template triangularView<Eigen::Upper>();
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|   VERIFY((m3 * v1).isApprox(m1.template triangularView<Eigen::Upper>() * v1, largerEps));
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|   m3 = m1.template triangularView<Eigen::UnitLower>();
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|   VERIFY((m3 * v1).isApprox(m1.template triangularView<Eigen::UnitLower>() * v1, largerEps));
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|   m3 = m1.template triangularView<Eigen::UnitUpper>();
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|   VERIFY((m3 * v1).isApprox(m1.template triangularView<Eigen::UnitUpper>() * v1, largerEps));
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| 
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|   // check conjugated and scalar multiple expressions (col-major)
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|   m3 = m1.template triangularView<Eigen::Lower>();
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|   VERIFY(((s1 * m3).conjugate() * v1)
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|              .isApprox((s1 * m1).conjugate().template triangularView<Eigen::Lower>() * v1, largerEps));
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|   m3 = m1.template triangularView<Eigen::Upper>();
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|   VERIFY((m3.conjugate() * v1.conjugate())
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|              .isApprox(m1.conjugate().template triangularView<Eigen::Upper>() * v1.conjugate(), largerEps));
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| 
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|   // check with a row-major matrix
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|   m3 = m1.template triangularView<Eigen::Upper>();
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|   VERIFY((m3.transpose() * v1).isApprox(m1.transpose().template triangularView<Eigen::Lower>() * v1, largerEps));
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|   m3 = m1.template triangularView<Eigen::Lower>();
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|   VERIFY((m3.transpose() * v1).isApprox(m1.transpose().template triangularView<Eigen::Upper>() * v1, largerEps));
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|   m3 = m1.template triangularView<Eigen::UnitUpper>();
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|   VERIFY((m3.transpose() * v1).isApprox(m1.transpose().template triangularView<Eigen::UnitLower>() * v1, largerEps));
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|   m3 = m1.template triangularView<Eigen::UnitLower>();
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|   VERIFY((m3.transpose() * v1).isApprox(m1.transpose().template triangularView<Eigen::UnitUpper>() * v1, largerEps));
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| 
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|   // check conjugated and scalar multiple expressions (row-major)
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|   m3 = m1.template triangularView<Eigen::Upper>();
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|   VERIFY((m3.adjoint() * v1).isApprox(m1.adjoint().template triangularView<Eigen::Lower>() * v1, largerEps));
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|   m3 = m1.template triangularView<Eigen::Lower>();
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|   VERIFY((m3.adjoint() * (s1 * v1.conjugate()))
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|              .isApprox(m1.adjoint().template triangularView<Eigen::Upper>() * (s1 * v1.conjugate()), largerEps));
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|   m3 = m1.template triangularView<Eigen::UnitUpper>();
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| 
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|   // check transposed cases:
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|   m3 = m1.template triangularView<Eigen::Lower>();
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|   VERIFY((v1.transpose() * m3).isApprox(v1.transpose() * m1.template triangularView<Eigen::Lower>(), largerEps));
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|   VERIFY((v1.adjoint() * m3).isApprox(v1.adjoint() * m1.template triangularView<Eigen::Lower>(), largerEps));
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|   VERIFY((v1.adjoint() * m3.adjoint())
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|              .isApprox(v1.adjoint() * m1.template triangularView<Eigen::Lower>().adjoint(), largerEps));
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| 
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|   // TODO check with sub-matrices
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| }
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| 
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| EIGEN_DECLARE_TEST(product_trmv) {
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|   int s = 0;
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|   for (int i = 0; i < g_repeat; i++) {
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|     CALL_SUBTEST_1(trmv(Matrix<float, 1, 1>()));
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|     CALL_SUBTEST_2(trmv(Matrix<float, 2, 2>()));
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|     CALL_SUBTEST_3(trmv(Matrix3d()));
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| 
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|     s = internal::random<int>(1, EIGEN_TEST_MAX_SIZE / 2);
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|     CALL_SUBTEST_4(trmv(MatrixXcf(s, s)));
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|     CALL_SUBTEST_5(trmv(MatrixXcd(s, s)));
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|     TEST_SET_BUT_UNUSED_VARIABLE(s)
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| 
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|     s = internal::random<int>(1, EIGEN_TEST_MAX_SIZE);
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|     CALL_SUBTEST_6(trmv(Matrix<float, Dynamic, Dynamic, RowMajor>(s, s)));
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|     TEST_SET_BUT_UNUSED_VARIABLE(s)
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|   }
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| }
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