Sameer Agarwal | aa9a83c | 2012-05-29 17:40:17 -0700 | [diff] [blame] | 1 | // Ceres Solver - A fast non-linear least squares minimizer |
| 2 | // Copyright 2012 Google Inc. All rights reserved. |
| 3 | // http://code.google.com/p/ceres-solver/ |
| 4 | // |
| 5 | // Redistribution and use in source and binary forms, with or without |
| 6 | // modification, are permitted provided that the following conditions are met: |
| 7 | // |
| 8 | // * Redistributions of source code must retain the above copyright notice, |
| 9 | // this list of conditions and the following disclaimer. |
| 10 | // * Redistributions in binary form must reproduce the above copyright notice, |
| 11 | // this list of conditions and the following disclaimer in the documentation |
| 12 | // and/or other materials provided with the distribution. |
| 13 | // * Neither the name of Google Inc. nor the names of its contributors may be |
| 14 | // used to endorse or promote products derived from this software without |
| 15 | // specific prior written permission. |
| 16 | // |
| 17 | // THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" |
| 18 | // AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE |
| 19 | // IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE |
| 20 | // ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR CONTRIBUTORS BE |
| 21 | // LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR |
| 22 | // CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF |
| 23 | // SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS |
| 24 | // INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN |
| 25 | // CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) |
| 26 | // ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE |
| 27 | // POSSIBILITY OF SUCH DAMAGE. |
| 28 | // |
| 29 | // Author: sameeragarwal@google.com (Sameer Agarwal) |
| 30 | |
| 31 | #ifndef CERES_INTERNAL_LEVENBERG_MARQUARDT_STRATEGY_H_ |
| 32 | #define CERES_INTERNAL_LEVENBERG_MARQUARDT_STRATEGY_H_ |
| 33 | |
Sameer Agarwal | 05292bf | 2012-08-20 07:40:45 -0700 | [diff] [blame] | 34 | #include "ceres/internal/eigen.h" |
Sameer Agarwal | aa9a83c | 2012-05-29 17:40:17 -0700 | [diff] [blame] | 35 | #include "ceres/trust_region_strategy.h" |
| 36 | |
| 37 | namespace ceres { |
| 38 | namespace internal { |
| 39 | |
| 40 | // Levenberg-Marquardt step computation and trust region sizing |
| 41 | // strategy based on on "Methods for Nonlinear Least Squares" by |
| 42 | // K. Madsen, H.B. Nielsen and O. Tingleff. Available to download from |
| 43 | // |
| 44 | // http://www2.imm.dtu.dk/pubdb/views/edoc_download.php/3215/pdf/imm3215.pdf |
| 45 | class LevenbergMarquardtStrategy : public TrustRegionStrategy { |
| 46 | public: |
| 47 | LevenbergMarquardtStrategy(const TrustRegionStrategy::Options& options); |
| 48 | virtual ~LevenbergMarquardtStrategy(); |
| 49 | |
| 50 | // TrustRegionStrategy interface |
Sameer Agarwal | 05292bf | 2012-08-20 07:40:45 -0700 | [diff] [blame] | 51 | virtual TrustRegionStrategy::Summary ComputeStep( |
Sameer Agarwal | aa9a83c | 2012-05-29 17:40:17 -0700 | [diff] [blame] | 52 | const TrustRegionStrategy::PerSolveOptions& per_solve_options, |
| 53 | SparseMatrix* jacobian, |
| 54 | const double* residuals, |
| 55 | double* step); |
| 56 | virtual void StepAccepted(double step_quality); |
| 57 | virtual void StepRejected(double step_quality); |
Sameer Agarwal | d432f78 | 2012-06-11 11:52:32 -0700 | [diff] [blame] | 58 | virtual void StepIsInvalid() { |
| 59 | // Treat the current step as a rejected step with no increase in |
| 60 | // solution quality. Since rejected steps lead to decrease in the |
| 61 | // size of the trust region, the next time ComputeStep is called, |
| 62 | // this will lead to a better conditioned system. |
| 63 | StepRejected(0.0); |
| 64 | } |
| 65 | |
Sameer Agarwal | aa9a83c | 2012-05-29 17:40:17 -0700 | [diff] [blame] | 66 | virtual double Radius() const; |
| 67 | |
| 68 | private: |
| 69 | LinearSolver* linear_solver_; |
| 70 | double radius_; |
| 71 | double max_radius_; |
| 72 | const double min_diagonal_; |
| 73 | const double max_diagonal_; |
| 74 | double decrease_factor_; |
| 75 | bool reuse_diagonal_; |
| 76 | Vector diagonal_; // diagonal_ = diag(J'J) |
| 77 | // Scaled copy of diagonal_. Stored here as optimization to prevent |
| 78 | // allocations in every iteration and reuse when a step fails and |
| 79 | // ComputeStep is called again. |
| 80 | Vector lm_diagonal_; // lm_diagonal_ = diagonal_ / radius_; |
| 81 | }; |
| 82 | |
| 83 | } // namespace internal |
| 84 | } // namespace ceres |
| 85 | |
| 86 | #endif // CERES_INTERNAL_LEVENBERG_MARQUARDT_STRATEGY_H_ |