| // This file is triangularView of Eigen, a lightweight C++ template library |
| // for linear algebra. |
| // |
| // Copyright (C) 2008-2009 Gael Guennebaud <gael.guennebaud@inria.fr> |
| // |
| // 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 bandmatrix(const MatrixType& _m) { |
| typedef typename MatrixType::Scalar Scalar; |
| typedef typename NumTraits<Scalar>::Real RealScalar; |
| typedef Matrix<Scalar, Dynamic, Dynamic> DenseMatrixType; |
| |
| Index rows = _m.rows(); |
| Index cols = _m.cols(); |
| Index supers = _m.supers(); |
| Index subs = _m.subs(); |
| |
| MatrixType m(rows, cols, supers, subs); |
| |
| DenseMatrixType dm1(rows, cols); |
| dm1.setZero(); |
| |
| m.diagonal().setConstant(123); |
| dm1.diagonal().setConstant(123); |
| for (int i = 1; i <= m.supers(); ++i) { |
| m.diagonal(i).setConstant(static_cast<RealScalar>(i)); |
| dm1.diagonal(i).setConstant(static_cast<RealScalar>(i)); |
| } |
| for (int i = 1; i <= m.subs(); ++i) { |
| m.diagonal(-i).setConstant(-static_cast<RealScalar>(i)); |
| dm1.diagonal(-i).setConstant(-static_cast<RealScalar>(i)); |
| } |
| // std::cerr << m.m_data << "\n\n" << m.toDense() << "\n\n" << dm1 << "\n\n\n\n"; |
| VERIFY_IS_APPROX(dm1, m.toDenseMatrix()); |
| |
| for (int i = 0; i < cols; ++i) { |
| m.col(i).setConstant(static_cast<RealScalar>(i + 1)); |
| dm1.col(i).setConstant(static_cast<RealScalar>(i + 1)); |
| } |
| Index d = (std::min)(rows, cols); |
| Index a = std::max<Index>(0, cols - d - supers); |
| Index b = std::max<Index>(0, rows - d - subs); |
| if (a > 0) dm1.block(0, d + supers, rows, a).setZero(); |
| dm1.block(0, supers + 1, cols - supers - 1 - a, cols - supers - 1 - a).template triangularView<Upper>().setZero(); |
| dm1.block(subs + 1, 0, rows - subs - 1 - b, rows - subs - 1 - b).template triangularView<Lower>().setZero(); |
| if (b > 0) dm1.block(d + subs, 0, b, cols).setZero(); |
| // std::cerr << m.m_data << "\n\n" << m.toDense() << "\n\n" << dm1 << "\n\n"; |
| VERIFY_IS_APPROX(dm1, m.toDenseMatrix()); |
| } |
| |
| using Eigen::internal::BandMatrix; |
| |
| EIGEN_DECLARE_TEST(bandmatrix) { |
| for (int i = 0; i < 10 * g_repeat; i++) { |
| Index rows = internal::random<Index>(1, 10); |
| Index cols = internal::random<Index>(1, 10); |
| Index sups = internal::random<Index>(0, cols - 1); |
| Index subs = internal::random<Index>(0, rows - 1); |
| CALL_SUBTEST(bandmatrix(BandMatrix<float>(rows, cols, sups, subs))); |
| } |
| } |