Blame internal/ceres/levenberg_marquardt_strategy.h

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// Ceres Solver - A fast non-linear least squares minimizer
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// Copyright 2015 Google Inc. All rights reserved.
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// http://ceres-solver.org/
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//
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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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//   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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// POSSIBILITY OF SUCH DAMAGE.
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//
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// Author: sameeragarwal@google.com (Sameer Agarwal)
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#ifndef CERES_INTERNAL_LEVENBERG_MARQUARDT_STRATEGY_H_
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#define CERES_INTERNAL_LEVENBERG_MARQUARDT_STRATEGY_H_
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#include "ceres/internal/eigen.h"
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#include "ceres/trust_region_strategy.h"
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namespace ceres {
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namespace internal {
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// Levenberg-Marquardt step computation and trust region sizing
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// strategy based on on "Methods for Nonlinear Least Squares" by
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// K. Madsen, H.B. Nielsen and O. Tingleff. Available to download from
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//
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// http://www2.imm.dtu.dk/pubdb/views/edoc_download.php/3215/pdf/imm3215.pdf
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class LevenbergMarquardtStrategy : public TrustRegionStrategy {
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 public:
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  explicit LevenbergMarquardtStrategy(
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      const TrustRegionStrategy::Options& options);
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  virtual ~LevenbergMarquardtStrategy();
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  // TrustRegionStrategy interface
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  virtual TrustRegionStrategy::Summary ComputeStep(
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      const TrustRegionStrategy::PerSolveOptions& per_solve_options,
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      SparseMatrix* jacobian,
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      const double* residuals,
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      double* step);
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  virtual void StepAccepted(double step_quality);
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  virtual void StepRejected(double step_quality);
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  virtual void StepIsInvalid() {
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    // Treat the current step as a rejected step with no increase in
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    // solution quality. Since rejected steps lead to decrease in the
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    // size of the trust region, the next time ComputeStep is called,
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    // this will lead to a better conditioned system.
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    StepRejected(0.0);
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  }
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  virtual double Radius() const;
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 private:
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  LinearSolver* linear_solver_;
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  double radius_;
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  double max_radius_;
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  const double min_diagonal_;
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  const double max_diagonal_;
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  double decrease_factor_;
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  bool reuse_diagonal_;
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  Vector diagonal_;   // diagonal_ =  diag(J'J)
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  // Scaled copy of diagonal_. Stored here as optimization to prevent
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  // allocations in every iteration and reuse when a step fails and
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  // ComputeStep is called again.
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  Vector lm_diagonal_;  // lm_diagonal_ = diagonal_ / radius_;
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};
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}  // namespace internal
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}  // namespace ceres
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#endif  // CERES_INTERNAL_LEVENBERG_MARQUARDT_STRATEGY_H_