HybridGaussianISAM.h

Go to the documentation of this file.

/* ----------------------------------------------------------------------------
 
 * 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/base/Testable.h>
#include <gtsam/hybrid/HybridBayesTree.h>
#include <gtsam/hybrid/HybridGaussianFactorGraph.h>
#include <gtsam/inference/ISAM.h>
 
namespace gtsam {

class GTSAM_EXPORT HybridGaussianISAM : public ISAM<HybridBayesTree> {
 public:
  typedef ISAM<HybridBayesTree> Base;
  typedef HybridGaussianISAM This;
  typedef boost::shared_ptr<This> shared_ptr;


  HybridGaussianISAM();

  HybridGaussianISAM(const HybridBayesTree& bayesTree);

 
 private:
  void updateInternal(
      const HybridGaussianFactorGraph& newFactors,
      HybridBayesTree::Cliques* orphans,
      const boost::optional<size_t>& maxNrLeaves = boost::none,
      const boost::optional<Ordering>& ordering = boost::none,
      const HybridBayesTree::Eliminate& function =
          HybridBayesTree::EliminationTraitsType::DefaultEliminate);
 
 public:
  void update(const HybridGaussianFactorGraph& newFactors,
              const boost::optional<size_t>& maxNrLeaves = boost::none,
              const boost::optional<Ordering>& ordering = boost::none,
              const HybridBayesTree::Eliminate& function =
                  HybridBayesTree::EliminationTraitsType::DefaultEliminate);

  static Ordering GetOrdering(HybridGaussianFactorGraph& factors,
                              const HybridGaussianFactorGraph& newFactors);
};

template <>
struct traits<HybridGaussianISAM> : public Testable<HybridGaussianISAM> {};
 
}  // namespace gtsam