| 123456789101112131415161718192021222324252627282930313233343536373839404142434445464748495051525354555657585960616263646566676869707172737475767778798081828384858687 | // 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// 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: sameeragarwal@google.com (Sameer Agarwal)#ifndef CERES_INTERNAL_LEVENBERG_MARQUARDT_STRATEGY_H_#define CERES_INTERNAL_LEVENBERG_MARQUARDT_STRATEGY_H_#include "ceres/internal/eigen.h"#include "ceres/trust_region_strategy.h"namespace ceres {namespace internal {// Levenberg-Marquardt step computation and trust region sizing// strategy based on on "Methods for Nonlinear Least Squares" by// K. Madsen, H.B. Nielsen and O. Tingleff. Available to download from//// http://www2.imm.dtu.dk/pubdb/views/edoc_download.php/3215/pdf/imm3215.pdfclass LevenbergMarquardtStrategy : public TrustRegionStrategy { public:  explicit LevenbergMarquardtStrategy(      const TrustRegionStrategy::Options& options);  virtual ~LevenbergMarquardtStrategy();  // TrustRegionStrategy interface  TrustRegionStrategy::Summary ComputeStep(      const TrustRegionStrategy::PerSolveOptions& per_solve_options,      SparseMatrix* jacobian,      const double* residuals,      double* step) final;  void StepAccepted(double step_quality) final;  void StepRejected(double step_quality) final;  void StepIsInvalid() final {    // Treat the current step as a rejected step with no increase in    // solution quality. Since rejected steps lead to decrease in the    // size of the trust region, the next time ComputeStep is called,    // this will lead to a better conditioned system.    StepRejected(0.0);  }  double Radius() const final; private:  LinearSolver* linear_solver_;  double radius_;  double max_radius_;  const double min_diagonal_;  const double max_diagonal_;  double decrease_factor_;  bool reuse_diagonal_;  Vector diagonal_;   // diagonal_ =  diag(J'J)  // Scaled copy of diagonal_. Stored here as optimization to prevent  // allocations in every iteration and reuse when a step fails and  // ComputeStep is called again.  Vector lm_diagonal_;  // lm_diagonal_ = diagonal_ / radius_;};}  // namespace internal}  // namespace ceres#endif  // CERES_INTERNAL_LEVENBERG_MARQUARDT_STRATEGY_H_
 |