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- // Ceres Solver - A fast non-linear least squares minimizer
- // Copyright 2023 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::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::RightMultiplyAndAccumulate(const double* x,
- double* y) const {
- VectorRef(y, num_rows()).noalias() += m_ * ConstVectorRef(x, num_cols());
- }
- void DenseSparseMatrix::LeftMultiplyAndAccumulate(const double* x,
- double* y) const {
- VectorRef(y, num_cols()).noalias() +=
- m_.transpose() * ConstVectorRef(x, num_rows());
- }
- void DenseSparseMatrix::SquaredColumnNorm(double* x) const {
- // This implementation is 3x faster than the naive version
- // x = m_.colwise().square().sum(), likely because m_
- // is a row major matrix.
- const int num_rows = m_.rows();
- const int num_cols = m_.cols();
- std::fill_n(x, num_cols, 0.0);
- const double* m = m_.data();
- for (int i = 0; i < num_rows; ++i) {
- for (int j = 0; j < num_cols; ++j, ++m) {
- x[j] += (*m) * (*m);
- }
- }
- }
- 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 ceres::internal
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