| // Ceres Solver - A fast non-linear least squares minimizer |
| // Copyright 2015 Google Inc. All rights reserved. |
| // http://ceres-solver.org/ |
| // |
| // Redistribution and use in source and binary forms, with or without |
| // modification, are permitted provided that the following conditions are met: |
| // |
| // * Redistributions of source code must retain the above copyright notice, |
| // this list of conditions and the following disclaimer. |
| // * Redistributions in binary form must reproduce the above copyright notice, |
| // this list of conditions and the following disclaimer in the documentation |
| // and/or other materials provided with the distribution. |
| // * Neither the name of Google Inc. nor the names of its contributors may be |
| // used to endorse or promote products derived from this software without |
| // specific prior written permission. |
| // |
| // THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" |
| // AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE |
| // IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE |
| // ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR CONTRIBUTORS BE |
| // LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR |
| // CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF |
| // SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS |
| // INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN |
| // CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) |
| // ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE |
| // POSSIBILITY OF SUCH DAMAGE. |
| // |
| // Author: keir@google.com (Keir Mierle) |
| |
| #include "ceres/dense_sparse_matrix.h" |
| |
| #include <algorithm> |
| #include <utility> |
| |
| #include "ceres/internal/eigen.h" |
| #include "ceres/internal/export.h" |
| #include "ceres/triplet_sparse_matrix.h" |
| #include "glog/logging.h" |
| |
| namespace ceres { |
| namespace internal { |
| |
| DenseSparseMatrix::DenseSparseMatrix(int num_rows, int num_cols) |
| : m_(Matrix(num_rows, num_cols)) {} |
| |
| DenseSparseMatrix::DenseSparseMatrix(const TripletSparseMatrix& m) |
| : m_(Matrix::Zero(m.num_rows(), m.num_cols())) { |
| const double* values = m.values(); |
| const int* rows = m.rows(); |
| const int* cols = m.cols(); |
| int num_nonzeros = m.num_nonzeros(); |
| |
| for (int i = 0; i < num_nonzeros; ++i) { |
| m_(rows[i], cols[i]) += values[i]; |
| } |
| } |
| |
| DenseSparseMatrix::DenseSparseMatrix(Matrix m) : m_(std::move(m)) {} |
| |
| void DenseSparseMatrix::SetZero() { m_.setZero(); } |
| |
| void DenseSparseMatrix::RightMultiply(const double* x, double* y) const { |
| VectorRef(y, num_rows()) += matrix() * ConstVectorRef(x, num_cols()); |
| } |
| |
| void DenseSparseMatrix::LeftMultiply(const double* x, double* y) const { |
| VectorRef(y, num_cols()) += |
| matrix().transpose() * ConstVectorRef(x, num_rows()); |
| } |
| |
| void DenseSparseMatrix::SquaredColumnNorm(double* x) const { |
| VectorRef(x, num_cols()) = m_.colwise().squaredNorm(); |
| } |
| |
| void DenseSparseMatrix::ScaleColumns(const double* scale) { |
| m_ *= ConstVectorRef(scale, num_cols()).asDiagonal(); |
| } |
| |
| void DenseSparseMatrix::ToDenseMatrix(Matrix* dense_matrix) const { |
| *dense_matrix = m_; |
| } |
| |
| int DenseSparseMatrix::num_rows() const { return m_.rows(); } |
| |
| int DenseSparseMatrix::num_cols() const { return m_.cols(); } |
| |
| int DenseSparseMatrix::num_nonzeros() const { return m_.rows() * m_.cols(); } |
| |
| const Matrix& DenseSparseMatrix::matrix() const { return m_; } |
| |
| Matrix* DenseSparseMatrix::mutable_matrix() { return &m_; } |
| |
| void DenseSparseMatrix::ToTextFile(FILE* file) const { |
| CHECK(file != nullptr); |
| for (int r = 0; r < m_.rows(); ++r) { |
| for (int c = 0; c < m_.cols(); ++c) { |
| fprintf(file, "% 10d % 10d %17f\n", r, c, m_(r, c)); |
| } |
| } |
| } |
| |
| } // namespace internal |
| } // namespace ceres |