2012-04-30 23:09:08 -07:00
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// Ceres Solver - A fast non-linear least squares minimizer
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2023-09-19 15:29:34 -07:00
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// Copyright 2023 Google Inc. All rights reserved.
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2015-03-17 22:30:16 -07:00
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// http://ceres-solver.org/
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2012-04-30 23:09:08 -07:00
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//
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// Redistribution and use in source and binary forms, with or without
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// modification, are permitted provided that the following conditions are met:
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//
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// * Redistributions of source code must retain the above copyright notice,
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// this list of conditions and the following disclaimer.
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// * Redistributions in binary form must reproduce the above copyright notice,
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// this list of conditions and the following disclaimer in the documentation
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// and/or other materials provided with the distribution.
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// * Neither the name of Google Inc. nor the names of its contributors may be
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// used to endorse or promote products derived from this software without
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// specific prior written permission.
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//
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// THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS"
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// AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
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// IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE
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// ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR CONTRIBUTORS BE
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// LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR
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// CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF
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// SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS
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// INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN
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// CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE)
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// ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE
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// POSSIBILITY OF SUCH DAMAGE.
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//
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// Author: sameeragarwal@google.com (Sameer Agarwal)
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#include "ceres/iterative_schur_complement_solver.h"
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#include <algorithm>
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#include <cstring>
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2022-02-20 02:22:17 +01:00
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#include <utility>
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2012-04-30 23:09:08 -07:00
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#include <vector>
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2013-02-01 12:22:53 -08:00
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2012-04-30 23:09:08 -07:00
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#include "Eigen/Dense"
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#include "absl/log/check.h"
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#include "absl/log/log.h"
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2012-04-30 23:09:08 -07:00
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#include "ceres/block_sparse_matrix.h"
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#include "ceres/block_structure.h"
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2012-05-05 20:55:08 -07:00
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#include "ceres/conjugate_gradients_solver.h"
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#include "ceres/detect_structure.h"
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#include "ceres/event_logger.h"
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2012-04-30 23:09:08 -07:00
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#include "ceres/implicit_schur_complement.h"
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#include "ceres/internal/eigen.h"
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#include "ceres/linear_solver.h"
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#include "ceres/power_series_expansion_preconditioner.h"
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2013-02-19 13:09:12 -08:00
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#include "ceres/preconditioner.h"
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#include "ceres/schur_jacobi_preconditioner.h"
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#include "ceres/triplet_sparse_matrix.h"
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#include "ceres/types.h"
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#include "ceres/visibility_based_preconditioner.h"
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2012-04-30 23:09:08 -07:00
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2022-04-21 17:41:10 -07:00
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namespace ceres::internal {
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IterativeSchurComplementSolver::IterativeSchurComplementSolver(
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LinearSolver::Options options)
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: options_(std::move(options)) {}
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2012-04-30 23:09:08 -07:00
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2022-02-09 00:56:10 +01:00
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IterativeSchurComplementSolver::~IterativeSchurComplementSolver() = default;
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LinearSolver::Summary IterativeSchurComplementSolver::SolveImpl(
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BlockSparseMatrix* A,
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const double* b,
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const LinearSolver::PerSolveOptions& per_solve_options,
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double* x) {
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EventLogger event_logger("IterativeSchurComplementSolver::Solve");
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2018-08-27 07:12:43 -07:00
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CHECK(A->block_structure() != nullptr);
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CHECK(A->transpose_block_structure() != nullptr);
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const int num_eliminate_blocks = options_.elimination_groups[0];
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// Initialize a ImplicitSchurComplement object.
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if (schur_complement_ == nullptr) {
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DetectStructure(*(A->block_structure()),
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num_eliminate_blocks,
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&options_.row_block_size,
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&options_.e_block_size,
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&options_.f_block_size);
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schur_complement_ = std::make_unique<ImplicitSchurComplement>(options_);
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}
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schur_complement_->Init(*A, per_solve_options.D, b);
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2013-09-02 22:28:40 -07:00
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const int num_schur_complement_blocks =
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A->block_structure()->cols.size() - num_eliminate_blocks;
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if (num_schur_complement_blocks == 0) {
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VLOG(2) << "No parameter blocks left in the schur complement.";
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LinearSolver::Summary summary;
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summary.num_iterations = 0;
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summary.termination_type = LinearSolverTerminationType::SUCCESS;
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schur_complement_->BackSubstitute(nullptr, x);
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return summary;
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}
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2022-08-12 00:54:11 +03:00
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// Initialize the solution to the Schur complement system.
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reduced_linear_system_solution_.resize(schur_complement_->num_rows());
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reduced_linear_system_solution_.setZero();
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2022-08-13 11:59:16 -07:00
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if (options_.use_spse_initialization) {
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2023-09-27 21:08:53 +00:00
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Preconditioner::Options preconditioner_options(options_);
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preconditioner_options.type = SCHUR_POWER_SERIES_EXPANSION;
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PowerSeriesExpansionPreconditioner pse_solver(
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schur_complement_.get(),
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options_.max_num_spse_iterations,
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options_.spse_tolerance,
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preconditioner_options);
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2022-08-12 00:54:11 +03:00
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pse_solver.RightMultiplyAndAccumulate(
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schur_complement_->rhs().data(),
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reduced_linear_system_solution_.data());
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}
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CreatePreconditioner(A);
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if (preconditioner_ != nullptr) {
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if (!preconditioner_->Update(*A, per_solve_options.D)) {
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LinearSolver::Summary summary;
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summary.num_iterations = 0;
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summary.termination_type = LinearSolverTerminationType::FAILURE;
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summary.message = "Preconditioner update failed.";
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return summary;
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}
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}
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2022-08-08 11:42:49 -07:00
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ConjugateGradientsSolverOptions cg_options;
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cg_options.min_num_iterations = options_.min_num_iterations;
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cg_options.max_num_iterations = options_.max_num_iterations;
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cg_options.residual_reset_period = options_.residual_reset_period;
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cg_options.q_tolerance = per_solve_options.q_tolerance;
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cg_options.r_tolerance = per_solve_options.r_tolerance;
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LinearOperatorAdapter lhs(*schur_complement_);
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LinearOperatorAdapter preconditioner(*preconditioner_);
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Vector scratch[4];
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for (int i = 0; i < 4; ++i) {
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2022-11-27 21:35:44 +03:00
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scratch[i].resize(schur_complement_->num_cols());
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}
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Vector* scratch_ptr[4] = {&scratch[0], &scratch[1], &scratch[2], &scratch[3]};
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event_logger.AddEvent("Setup");
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2017-05-26 10:43:13 -07:00
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LinearSolver::Summary summary =
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ConjugateGradientsSolver(cg_options,
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lhs,
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schur_complement_->rhs(),
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preconditioner,
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scratch_ptr,
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reduced_linear_system_solution_);
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2022-05-14 14:14:22 -07:00
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if (summary.termination_type != LinearSolverTerminationType::FAILURE &&
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summary.termination_type != LinearSolverTerminationType::FATAL_ERROR) {
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2017-05-26 10:43:13 -07:00
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schur_complement_->BackSubstitute(reduced_linear_system_solution_.data(),
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x);
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}
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event_logger.AddEvent("Solve");
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return summary;
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}
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2017-06-01 20:03:43 -07:00
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void IterativeSchurComplementSolver::CreatePreconditioner(
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BlockSparseMatrix* A) {
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if (preconditioner_ != nullptr) {
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return;
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}
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2023-09-27 21:08:53 +00:00
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Preconditioner::Options preconditioner_options(options_);
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CHECK(options_.context != nullptr);
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switch (options_.preconditioner_type) {
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case IDENTITY:
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preconditioner_ = std::make_unique<IdentityPreconditioner>(
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schur_complement_->num_cols());
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break;
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case JACOBI:
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preconditioner_ = std::make_unique<SparseMatrixPreconditionerWrapper>(
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schur_complement_->block_diagonal_FtF_inverse(),
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preconditioner_options);
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break;
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2022-08-12 00:54:11 +03:00
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case SCHUR_POWER_SERIES_EXPANSION:
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// Ignoring the value of spse_tolerance to ensure preconditioner stays
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// fixed during the iterations of cg.
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preconditioner_ = std::make_unique<PowerSeriesExpansionPreconditioner>(
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2023-09-27 21:08:53 +00:00
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schur_complement_.get(),
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options_.max_num_spse_iterations,
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0,
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preconditioner_options);
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break;
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case SCHUR_JACOBI:
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preconditioner_ = std::make_unique<SchurJacobiPreconditioner>(
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*A->block_structure(), preconditioner_options);
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break;
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case CLUSTER_JACOBI:
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case CLUSTER_TRIDIAGONAL:
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preconditioner_ = std::make_unique<VisibilityBasedPreconditioner>(
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*A->block_structure(), preconditioner_options);
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break;
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default:
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LOG(FATAL) << "Unknown Preconditioner Type";
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2012-04-30 23:09:08 -07:00
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}
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};
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2012-04-30 23:09:08 -07:00
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2022-04-21 17:41:10 -07:00
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} // namespace ceres::internal
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