| // Ceres Solver - A fast non-linear least squares minimizer | 
 | // Copyright 2012 Google Inc. All rights reserved. | 
 | // http://code.google.com/p/ceres-solver/ | 
 | // | 
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 | // modification, are permitted provided that the following conditions are met: | 
 | // | 
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 | //   this list of conditions and the following disclaimer. | 
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 | //   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" | 
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 | // | 
 | // Author: sameeragarwal@google.com (Sameer Agarwal) | 
 |  | 
 | #ifndef CERES_INTERNAL_LEVENBERG_MARQUARDT_STRATEGY_H_ | 
 | #define CERES_INTERNAL_LEVENBERG_MARQUARDT_STRATEGY_H_ | 
 |  | 
 | #include "ceres/linear_solver.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.pdf | 
 | class LevenbergMarquardtStrategy : public TrustRegionStrategy { | 
 | public: | 
 |   LevenbergMarquardtStrategy(const TrustRegionStrategy::Options& options); | 
 |   virtual ~LevenbergMarquardtStrategy(); | 
 |  | 
 |   // TrustRegionStrategy interface | 
 |   virtual LinearSolver::Summary ComputeStep( | 
 |       const TrustRegionStrategy::PerSolveOptions& per_solve_options, | 
 |       SparseMatrix* jacobian, | 
 |       const double* residuals, | 
 |       double* step); | 
 |   virtual void StepAccepted(double step_quality); | 
 |   virtual void StepRejected(double step_quality); | 
 |   virtual void StepIsInvalid() { | 
 |     // 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); | 
 |   } | 
 |  | 
 |   virtual double Radius() const; | 
 |  | 
 |  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_ |