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product_trmv.cpp
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// This file is triangularView of Eigen, a lightweight C++ template library
// for linear algebra.
//
// Copyright (C) 2008-2009 Gael Guennebaud <[email protected]>
//
// This Source Code Form is subject to the terms of the Mozilla
// Public License v. 2.0. If a copy of the MPL was not distributed
// with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
#include "main.h"
template<typename MatrixType> void trmv(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>();
Index rows = m.rows();
Index cols = m.cols();
MatrixType m1 = MatrixType::Random(rows, cols),
m3(rows, cols);
VectorType v1 = VectorType::Random(rows);
Scalar s1 = internal::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
}
EIGEN_DECLARE_TEST(product_trmv)
{
int s = 0;
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()) );
s = internal::random<int>(1,EIGEN_TEST_MAX_SIZE/2);
CALL_SUBTEST_4( trmv(MatrixXcf(s,s)) );
CALL_SUBTEST_5( trmv(MatrixXcd(s,s)) );
TEST_SET_BUT_UNUSED_VARIABLE(s)
s = internal::random<int>(1,EIGEN_TEST_MAX_SIZE);
CALL_SUBTEST_6( trmv(Matrix<float,Dynamic,Dynamic,RowMajor>(s, s)) );
TEST_SET_BUT_UNUSED_VARIABLE(s)
}
}