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Diffstat (limited to 'test/determinant.cpp')
-rw-r--r-- | test/determinant.cpp | 71 |
1 files changed, 71 insertions, 0 deletions
diff --git a/test/determinant.cpp b/test/determinant.cpp new file mode 100644 index 000000000..974df58ef --- /dev/null +++ b/test/determinant.cpp @@ -0,0 +1,71 @@ +// This file is part of Eigen, a lightweight C++ template library +// for linear algebra. Eigen itself is part of the KDE project. +// +// Copyright (C) 2008 Gael Guennebaud <g.gael@free.fr> +// +// 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" + +#include <Eigen/LU> + +namespace Eigen { + +template<typename MatrixType> void nullDeterminant(const MatrixType& m) +{ + /* this test covers the following files: + Determinant.h + */ + int rows = m.rows(); + int cols = m.cols(); + + typedef typename MatrixType::Scalar Scalar; + typedef Matrix<Scalar, MatrixType::ColsAtCompileTime, MatrixType::ColsAtCompileTime> SquareMatrixType; + typedef Matrix<Scalar, MatrixType::ColsAtCompileTime, 1> VectorType; + + MatrixType d(rows, cols); + + // build a ill-conditionned matrix with a nul determinant + d.col(0).setOnes(); + d.block(0,1, rows, cols-2).setRandom(); + d.col(cols-1).setOnes(); + + for (int i=0 ; i<rows ; ++i) + d.row(i).block(0,1,1,cols-2) = d.row(i).block(0,1,1,cols-2).normalized(); + + SquareMatrixType covarianceMatrix = d.transpose() * d; + +// std::cout << covarianceMatrix << "\n" << covarianceMatrix.determinant() << "\n"; + + VERIFY_IS_APPROX(covarianceMatrix.determinant(), Scalar(0)); +} + +void EigenTest::testDeterminant() +{ + for(int i = 0; i < m_repeat; i++) { + nullDeterminant(Matrix<float, 30, 3>()); + nullDeterminant(Matrix<double, 30, 3>()); + nullDeterminant(Matrix<float, 20, 4>()); + nullDeterminant(Matrix<double, 20, 4>()); +// nullDeterminant(MatrixXd(20,4)); + } +} + +} // namespace Eigen |