gtsam  4.0.0
gtsam
ISAM2Clique.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 
18 // \callgraph
19 
20 #pragma once
21 
23 #include <gtsam/inference/Key.h>
27 #include <string>
28 
29 namespace gtsam {
30 
36 class GTSAM_EXPORT ISAM2Clique
37  : public BayesTreeCliqueBase<ISAM2Clique, GaussianFactorGraph> {
38  public:
39  typedef ISAM2Clique This;
41  typedef boost::shared_ptr<This> shared_ptr;
42  typedef boost::weak_ptr<This> weak_ptr;
44  typedef ConditionalType::shared_ptr sharedConditional;
45 
46  Base::FactorType::shared_ptr cachedFactor_;
47  Vector gradientContribution_;
48 #ifdef USE_BROKEN_FAST_BACKSUBSTITUTE
49  mutable FastMap<Key, VectorValues::iterator> solnPointers_;
50 #endif
51 
53  ISAM2Clique() : Base() {}
54 
57  ISAM2Clique(const ISAM2Clique& other)
58  : Base(other),
59  cachedFactor_(other.cachedFactor_),
60  gradientContribution_(other.gradientContribution_) {}
61 
65  Base::operator=(other);
66  cachedFactor_ = other.cachedFactor_;
67  gradientContribution_ = other.gradientContribution_;
68  return *this;
69  }
70 
72  void setEliminationResult(
73  const FactorGraphType::EliminationResult& eliminationResult);
74 
76  Base::FactorType::shared_ptr& cachedFactor() { return cachedFactor_; }
77 
79  const Vector& gradientContribution() const { return gradientContribution_; }
80 
81  bool equals(const This& other, double tol = 1e-9) const;
82 
84  void print(const std::string& s = "",
85  const KeyFormatter& formatter = DefaultKeyFormatter) const;
86 
87  void optimizeWildfire(const KeySet& replaced, double threshold,
88  KeySet* changed, VectorValues* delta,
89  size_t* count) const;
90 
91  bool optimizeWildfireNode(const KeySet& replaced, double threshold,
92  KeySet* changed, VectorValues* delta,
93  size_t* count) const;
94 
99  void nnz_internal(size_t* result) const;
100  size_t calculate_nnz() const;
101 
117  void findAll(const KeySet& markedMask, KeySet* keys) const;
118 
119  private:
124  bool isDirty(const KeySet& replaced, const KeySet& changed) const;
125 
130  void fastBackSubstitute(VectorValues* delta) const;
131 
132  /*
133  * Check whether the values changed above a threshold, or always true if the
134  * clique was replaced.
135  */
136  bool valuesChanged(const KeySet& replaced, const Vector& originalValues,
137  const VectorValues& delta, double threshold) const;
138 
140  void markFrontalsAsChanged(KeySet* changed) const;
141 
143  void restoreFromOriginals(const Vector& originalValues,
144  VectorValues* delta) const;
145 
147  friend class boost::serialization::access;
148  template <class ARCHIVE>
149  void serialize(ARCHIVE& ar, const unsigned int /*version*/) {
150  ar& BOOST_SERIALIZATION_BASE_OBJECT_NVP(Base);
151  ar& BOOST_SERIALIZATION_NVP(cachedFactor_);
152  ar& BOOST_SERIALIZATION_NVP(gradientContribution_);
153  }
154 }; // \struct ISAM2Clique
155 
167 size_t optimizeWildfire(const ISAM2Clique::shared_ptr& root, double threshold,
168  const KeySet& replaced, VectorValues* delta);
169 
170 size_t optimizeWildfireNonRecursive(const ISAM2Clique::shared_ptr& root,
171  double threshold, const KeySet& replaced,
172  VectorValues* delta);
173 
174 } // namespace gtsam
A conditional Gaussian functions as the node in a Bayes network It has a set of parents y,...
Definition: GaussianConditional.h:36
Conditional Gaussian Base class.
boost::shared_ptr< This > shared_ptr
shared_ptr to this class
Definition: GaussianConditional.h:42
ISAM2Clique(const ISAM2Clique &other)
Copy constructor, does not copy solution pointers as these are invalid in different trees.
Definition: ISAM2Clique.h:57
ISAM2Clique()
Default constructor.
Definition: ISAM2Clique.h:53
void print(const Matrix &A, const string &s, ostream &stream)
print without optional string, must specify cout yourself
Definition: Matrix.cpp:141
Definition: FastMap.h:37
Template to create a binary predicate.
Definition: Testable.h:110
Chordal Bayes Net, the result of eliminating a factor graph.
This is the base class for BayesTree cliques.
Definition: BayesTreeCliqueBase.h:48
size_t optimizeWildfire(const ISAM2Clique::shared_ptr &root, double threshold, const KeySet &keys, VectorValues *delta)
Optimize the BayesTree, starting from the root.
Definition: ISAM2Clique.cpp:224
const Vector & gradientContribution() const
Access the gradient contribution.
Definition: ISAM2Clique.h:79
boost::function< std::string(Key)> KeyFormatter
Typedef for a function to format a key, i.e. to convert it to a string.
Definition: Key.h:33
Specialized Clique structure for ISAM2, incorporating caching and gradient contribution TODO: more do...
Definition: ISAM2Clique.h:36
ISAM2Clique & operator=(const ISAM2Clique &other)
Assignment operator, does not copy solution pointers as these are invalid in different trees.
Definition: ISAM2Clique.h:64
This class represents a collection of vector-valued variables associated each with a unique integer i...
Definition: VectorValues.h:73
Base class for cliques of a BayesTree.
Base::FactorType::shared_ptr & cachedFactor()
Access the cached factor.
Definition: ISAM2Clique.h:76
Global functions in a separate testing namespace.
Definition: chartTesting.h:28
Linear Factor Graph where all factors are Gaussians.