GTSAM  4.0.2
C++ library for smoothing and mapping (SAM)
GaussianBayesTree.h
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1 /* ----------------------------------------------------------------------------
2 
3  * GTSAM Copyright 2010, Georgia Tech Research Corporation,
4  * Atlanta, Georgia 30332-0415
5  * All Rights Reserved
6  * Authors: Frank Dellaert, et al. (see THANKS for the full author list)
7 
8  * See LICENSE for the license information
9 
10  * -------------------------------------------------------------------------- */
11 
20 #pragma once
21 
26 
27 namespace gtsam {
28 
29  // Forward declarations
30  class GaussianConditional;
31  class VectorValues;
32 
33  /* ************************************************************************* */
35  class GTSAM_EXPORT GaussianBayesTreeClique :
36  public BayesTreeCliqueBase<GaussianBayesTreeClique, GaussianFactorGraph>
37  {
38  public:
41  typedef std::shared_ptr<This> shared_ptr;
42  typedef std::weak_ptr<This> weak_ptr;
44  GaussianBayesTreeClique(const std::shared_ptr<GaussianConditional>& conditional) : Base(conditional) {}
45  };
46 
47  /* ************************************************************************* */
49  class GTSAM_EXPORT GaussianBayesTree :
50  public BayesTree<GaussianBayesTreeClique>
51  {
52  private:
54 
55  public:
56  typedef GaussianBayesTree This;
57  typedef std::shared_ptr<This> shared_ptr;
58 
61 
63  bool equals(const This& other, double tol = 1e-9) const;
64 
66  VectorValues optimize() const;
67 
93  VectorValues optimizeGradientSearch() const;
94 
100  VectorValues gradient(const VectorValues& x0) const;
101 
107  VectorValues gradientAtZero() const;
108 
110  double error(const VectorValues& x) const;
111 
117  double determinant() const;
118 
124  double logDeterminant() const;
125 
128  Matrix marginalCovariance(Key key) const;
129  };
130 
132  template<>
133  struct traits<GaussianBayesTree> : public Testable<GaussianBayesTree> {
134  };
135 
136 } //\ namespace gtsam
GaussianBayesTree()
Definition: GaussianBayesTree.h:60
Definition: GaussianBayesTree.h:49
Definition: Testable.h:152
Definition: Group.h:43
Definition: VectorValues.h:74
Definition: BayesTreeCliqueBase.h:49
Definition: BayesTree.h:66
Definition: Testable.h:112
GTSAM_EXPORT Point3 optimize(const NonlinearFactorGraph &graph, const Values &values, Key landmarkKey)
Linear Factor Graph where all factors are Gaussians.
Definition: GaussianBayesTree.h:35
Bayes Tree is a tree of cliques of a Bayes Chain.
Definition: chartTesting.h:28
Chordal Bayes Net, the result of eliminating a factor graph.
Base class for cliques of a BayesTree.
std::uint64_t Key
Integer nonlinear key type.
Definition: types.h:102