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// 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
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// 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/cgnr_solver.h"
#include <memory>
#include <utility>
#include "ceres/block_jacobi_preconditioner.h"
#include "ceres/cgnr_linear_operator.h"
#include "ceres/conjugate_gradients_solver.h"
#include "ceres/internal/eigen.h"
#include "ceres/linear_solver.h"
#include "ceres/subset_preconditioner.h"
#include "ceres/wall_time.h"
#include "glog/logging.h"
namespace ceres {
namespace internal {
CgnrSolver::CgnrSolver(LinearSolver::Options options)
: options_(std::move(options)) {
if (options_.preconditioner_type != JACOBI &&
options_.preconditioner_type != IDENTITY &&
options_.preconditioner_type != SUBSET) {
LOG(FATAL)
<< "Preconditioner = "
<< PreconditionerTypeToString(options_.preconditioner_type) << ". "
<< "Congratulations, you found a bug in Ceres. Please report it.";
}
}
CgnrSolver::~CgnrSolver() = default;
LinearSolver::Summary CgnrSolver::SolveImpl(
BlockSparseMatrix* A,
const double* b,
const LinearSolver::PerSolveOptions& per_solve_options,
double* x) {
EventLogger event_logger("CgnrSolver::Solve");
// Form z = Atb.
Vector z(A->num_cols());
z.setZero();
A->LeftMultiply(b, z.data());
if (!preconditioner_) {
if (options_.preconditioner_type == JACOBI) {
preconditioner_ = std::make_unique<BlockJacobiPreconditioner>(*A);
} else if (options_.preconditioner_type == SUBSET) {
Preconditioner::Options preconditioner_options;
preconditioner_options.type = SUBSET;
preconditioner_options.subset_preconditioner_start_row_block =
options_.subset_preconditioner_start_row_block;
preconditioner_options.sparse_linear_algebra_library_type =
options_.sparse_linear_algebra_library_type;
preconditioner_options.use_postordering = options_.use_postordering;
preconditioner_options.num_threads = options_.num_threads;
preconditioner_options.context = options_.context;
preconditioner_ =
std::make_unique<SubsetPreconditioner>(preconditioner_options, *A);
}
}
if (preconditioner_) {
preconditioner_->Update(*A, per_solve_options.D);
}
LinearSolver::PerSolveOptions cg_per_solve_options = per_solve_options;
cg_per_solve_options.preconditioner = preconditioner_.get();
// Solve (AtA + DtD)x = z (= Atb).
VectorRef(x, A->num_cols()).setZero();
CgnrLinearOperator lhs(*A, per_solve_options.D);
event_logger.AddEvent("Setup");
ConjugateGradientsSolver conjugate_gradient_solver(options_);
LinearSolver::Summary summary =
conjugate_gradient_solver.Solve(&lhs, z.data(), cg_per_solve_options, x);
event_logger.AddEvent("Solve");
return summary;
}
} // namespace internal
} // namespace ceres