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optimization_algorithm_levenberg.h
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1// g2o - General Graph Optimization
2// Copyright (C) 2011 R. Kuemmerle, G. Grisetti, W. Burgard
3// All rights reserved.
4//
5// Redistribution and use in source and binary forms, with or without
6// modification, are permitted provided that the following conditions are
7// met:
8//
9// * Redistributions of source code must retain the above copyright notice,
10// this list of conditions and the following disclaimer.
11// * Redistributions in binary form must reproduce the above copyright
12// notice, this list of conditions and the following disclaimer in the
13// documentation and/or other materials provided with the distribution.
14//
15// THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS
16// IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED
17// TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A
18// PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT
19// HOLDER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL,
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26
27#ifndef G2O_SOLVER_LEVENBERG_H
28#define G2O_SOLVER_LEVENBERG_H
29
30#include <memory>
31
32#include "g2o_core_api.h"
34
35namespace g2o {
36
42 public:
47 explicit OptimizationAlgorithmLevenberg(std::unique_ptr<Solver> solver);
49
50 virtual SolverResult solve(int iteration, bool online = false);
51
52 virtual void printVerbose(std::ostream& os) const;
53
55 double currentLambda() const { return _currentLambda; }
56
59 void setMaxTrialsAfterFailure(int max_trials);
60
62 int maxTrialsAfterFailure() const { return _maxTrialsAfterFailure->value(); }
63
66 double userLambdaInit() { return _userLambdaInit->value(); }
69 void setUserLambdaInit(double lambda);
70
72 int levenbergIteration() { return _levenbergIterations; }
73
74 protected:
75 // Levenberg parameters
79 double _tau;
84 double _ni;
87
92 double computeLambdaInit() const;
93 double computeScale() const;
94
95 private:
96 std::unique_ptr<Solver> m_solver;
97};
98
99} // namespace g2o
100
101#endif
Implementation of the Levenberg Algorithm.
int maxTrialsAfterFailure() const
get the number of inner iterations for Levenberg-Marquardt
int levenbergIteration()
return the number of levenberg iterations performed in the last round
double currentLambda() const
return the currently used damping factor
Base for solvers operating on the approximated Hessian, e.g., Gauss-Newton, Levenberg.
#define G2O_CORE_API