|  | // 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: | 
|  | // | 
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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. | 
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|  | //   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/internal/disable_warnings.h" | 
|  | #include "ceres/internal/eigen.h" | 
|  | #include "ceres/internal/export.h" | 
|  | #include "ceres/trust_region_strategy.h" | 
|  |  | 
|  | namespace ceres::internal { | 
|  |  | 
|  | class ContextImpl; | 
|  |  | 
|  | // 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 CERES_NO_EXPORT LevenbergMarquardtStrategy final | 
|  | : public TrustRegionStrategy { | 
|  | public: | 
|  | explicit LevenbergMarquardtStrategy( | 
|  | const TrustRegionStrategy::Options& options); | 
|  | ~LevenbergMarquardtStrategy() override; | 
|  |  | 
|  | // 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_ = sqrt(diagonal_ / radius_); | 
|  | ContextImpl* context_; | 
|  | int num_threads_; | 
|  | }; | 
|  |  | 
|  | }  // namespace ceres::internal | 
|  |  | 
|  | #include "ceres/internal/reenable_warnings.h" | 
|  |  | 
|  | #endif  // CERES_INTERNAL_LEVENBERG_MARQUARDT_STRATEGY_H_ |