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Sameer Agarwalaa9a83c2012-05-29 17:40:17 -07001// 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
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26// ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE
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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 Agarwal05292bf2012-08-20 07:40:45 -070034#include "ceres/internal/eigen.h"
Sameer Agarwalaa9a83c2012-05-29 17:40:17 -070035#include "ceres/trust_region_strategy.h"
36
37namespace ceres {
38namespace 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
45class LevenbergMarquardtStrategy : public TrustRegionStrategy {
46public:
47 LevenbergMarquardtStrategy(const TrustRegionStrategy::Options& options);
48 virtual ~LevenbergMarquardtStrategy();
49
50 // TrustRegionStrategy interface
Sameer Agarwal05292bf2012-08-20 07:40:45 -070051 virtual TrustRegionStrategy::Summary ComputeStep(
Sameer Agarwalaa9a83c2012-05-29 17:40:17 -070052 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 Agarwald432f782012-06-11 11:52:32 -070058 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 Agarwalaa9a83c2012-05-29 17:40:17 -070066 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_