LevenbergMarquardtOptimizer.h

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/* ----------------------------------------------------------------------------

 * GTSAM Copyright 2010, Georgia Tech Research Corporation,
 * Atlanta, Georgia 30332-0415
 * All Rights Reserved
 * Authors: Frank Dellaert, et al. (see THANKS for the full author list)

 * See LICENSE for the license information

 * -------------------------------------------------------------------------- */

#pragma once

#include <gtsam/nonlinear/NonlinearOptimizer.h>
#include <gtsam/nonlinear/LevenbergMarquardtParams.h>
#include <gtsam/linear/VectorValues.h>
#include <boost/date_time/posix_time/posix_time.hpp>

class NonlinearOptimizerMoreOptimizationTest;

namespace gtsam {

class GTSAM_EXPORT LevenbergMarquardtOptimizer: public NonlinearOptimizer {

protected:
  const LevenbergMarquardtParams params_; 
  boost::posix_time::ptime startTime_;

  void initTime();

public:
  typedef boost::shared_ptr<LevenbergMarquardtOptimizer> shared_ptr;


  LevenbergMarquardtOptimizer(const NonlinearFactorGraph& graph, const Values& initialValues,
                              const LevenbergMarquardtParams& params = LevenbergMarquardtParams());

  LevenbergMarquardtOptimizer(const NonlinearFactorGraph& graph, const Values& initialValues,
                              const Ordering& ordering,
                              const LevenbergMarquardtParams& params = LevenbergMarquardtParams());

  virtual ~LevenbergMarquardtOptimizer() {
  }



  double lambda() const;

  int getInnerIterations() const;

  void print(const std::string& str = "") const {
    std::cout << str << "LevenbergMarquardtOptimizer" << std::endl;
    this->params_.print("  parameters:\n");
  }



  GaussianFactorGraph::shared_ptr iterate() override;

  const LevenbergMarquardtParams& params() const {
    return params_;
  }

  void writeLogFile(double currentError);

  virtual GaussianFactorGraph::shared_ptr linearize() const;

  GaussianFactorGraph buildDampedSystem(const GaussianFactorGraph& linear,
                                        const VectorValues& sqrtHessianDiagonal) const;

  bool tryLambda(const GaussianFactorGraph& linear, const VectorValues& sqrtHessianDiagonal);


protected:

  const NonlinearOptimizerParams& _params() const override {
    return params_;
  }
};

}