| // This file is part of Eigen, a lightweight C++ template library |
| // for linear algebra. |
| // |
| // Copyright (C) 2009-2011 Jitse Niesen <jitse@maths.leeds.ac.uk> |
| // |
| // 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" |
| #include <unsupported/Eigen/MatrixFunctions> |
| |
| template <typename MatrixType, int IsComplex = NumTraits<typename internal::traits<MatrixType>::Scalar>::IsComplex> |
| struct generateTestMatrix; |
| |
| // for real matrices, make sure none of the eigenvalues are negative |
| template <typename MatrixType> |
| struct generateTestMatrix<MatrixType,0> |
| { |
| static void run(MatrixType& result, typename MatrixType::Index size) |
| { |
| MatrixType mat = MatrixType::Random(size, size); |
| EigenSolver<MatrixType> es(mat); |
| typename EigenSolver<MatrixType>::EigenvalueType eivals = es.eigenvalues(); |
| for (typename MatrixType::Index i = 0; i < size; ++i) { |
| if (eivals(i).imag() == 0 && eivals(i).real() < 0) |
| eivals(i) = -eivals(i); |
| } |
| result = (es.eigenvectors() * eivals.asDiagonal() * es.eigenvectors().inverse()).real(); |
| } |
| }; |
| |
| // for complex matrices, any matrix is fine |
| template <typename MatrixType> |
| struct generateTestMatrix<MatrixType,1> |
| { |
| static void run(MatrixType& result, typename MatrixType::Index size) |
| { |
| result = MatrixType::Random(size, size); |
| } |
| }; |
| |
| template <typename Derived, typename OtherDerived> |
| double relerr(const MatrixBase<Derived>& A, const MatrixBase<OtherDerived>& B) |
| { |
| return std::sqrt((A - B).cwiseAbs2().sum() / (std::min)(A.cwiseAbs2().sum(), B.cwiseAbs2().sum())); |
| } |