| // Ceres Solver - A fast non-linear least squares minimizer |
| // Copyright 2012 Google Inc. All rights reserved. |
| // http://code.google.com/p/ceres-solver/ |
| // |
| // 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/cgnr_solver.h" |
| |
| #include "glog/logging.h" |
| #include "ceres/linear_solver.h" |
| #include "ceres/cgnr_linear_operator.h" |
| #include "ceres/conjugate_gradients_solver.h" |
| #include "ceres/block_jacobi_preconditioner.h" |
| |
| namespace ceres { |
| namespace internal { |
| |
| CgnrSolver::CgnrSolver(const LinearSolver::Options& options) |
| : options_(options), |
| jacobi_preconditioner_(NULL) { |
| } |
| |
| LinearSolver::Summary CgnrSolver::Solve( |
| LinearOperator* A, |
| const double* b, |
| const LinearSolver::PerSolveOptions& per_solve_options, |
| double* x) { |
| // Form z = Atb. |
| scoped_array<double> z(new double[A->num_cols()]); |
| std::fill(z.get(), z.get() + A->num_cols(), 0.0); |
| A->LeftMultiply(b, z.get()); |
| |
| // Precondition if necessary. |
| LinearSolver::PerSolveOptions cg_per_solve_options = per_solve_options; |
| if (options_.preconditioner_type == JACOBI) { |
| if (jacobi_preconditioner_.get() == NULL) { |
| jacobi_preconditioner_.reset(new BlockJacobiPreconditioner(*A)); |
| } |
| jacobi_preconditioner_->Update(*A, per_solve_options.D); |
| cg_per_solve_options.preconditioner = jacobi_preconditioner_.get(); |
| } else if (options_.preconditioner_type != IDENTITY) { |
| LOG(FATAL) << "CGNR only supports IDENTITY and JACOBI preconditioners."; |
| } |
| |
| // Solve (AtA + DtD)x = z (= Atb). |
| std::fill(x, x + A->num_cols(), 0.0); |
| CgnrLinearOperator lhs(*A, per_solve_options.D); |
| ConjugateGradientsSolver conjugate_gradient_solver(options_); |
| return conjugate_gradient_solver.Solve(&lhs, |
| z.get(), |
| cg_per_solve_options, |
| x); |
| } |
| |
| } // namespace internal |
| } // namespace ceres |