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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: markshachkov@gmail.com (Mark Shachkov)
- #include "ceres/power_series_expansion_preconditioner.h"
- #include "ceres/eigen_vector_ops.h"
- #include "ceres/parallel_vector_ops.h"
- #include "ceres/preconditioner.h"
- namespace ceres::internal {
- PowerSeriesExpansionPreconditioner::PowerSeriesExpansionPreconditioner(
- const ImplicitSchurComplement* isc,
- const int max_num_spse_iterations,
- const double spse_tolerance,
- const Preconditioner::Options& options)
- : isc_(isc),
- max_num_spse_iterations_(max_num_spse_iterations),
- spse_tolerance_(spse_tolerance),
- options_(options) {}
- PowerSeriesExpansionPreconditioner::~PowerSeriesExpansionPreconditioner() =
- default;
- bool PowerSeriesExpansionPreconditioner::Update(const LinearOperator& /*A*/,
- const double* /*D*/) {
- return true;
- }
- void PowerSeriesExpansionPreconditioner::RightMultiplyAndAccumulate(
- const double* x, double* y) const {
- VectorRef yref(y, num_rows());
- Vector series_term(num_rows());
- Vector previous_series_term(num_rows());
- ParallelSetZero(options_.context, options_.num_threads, yref);
- isc_->block_diagonal_FtF_inverse()->RightMultiplyAndAccumulate(
- x, y, options_.context, options_.num_threads);
- ParallelAssign(
- options_.context, options_.num_threads, previous_series_term, yref);
- const double norm_threshold =
- spse_tolerance_ * Norm(yref, options_.context, options_.num_threads);
- for (int i = 1;; i++) {
- ParallelSetZero(options_.context, options_.num_threads, series_term);
- isc_->InversePowerSeriesOperatorRightMultiplyAccumulate(
- previous_series_term.data(), series_term.data());
- ParallelAssign(
- options_.context, options_.num_threads, yref, yref + series_term);
- if (i >= max_num_spse_iterations_ || series_term.norm() < norm_threshold) {
- break;
- }
- std::swap(previous_series_term, series_term);
- }
- }
- int PowerSeriesExpansionPreconditioner::num_rows() const {
- return isc_->num_rows();
- }
- } // namespace ceres::internal
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