gtsam  4.0.0 gtsam
GaussianDensity.h
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1 /* ----------------------------------------------------------------------------
2
3  * GTSAM Copyright 2010, Georgia Tech Research Corporation,
4  * Atlanta, Georgia 30332-0415
6  * Authors: Frank Dellaert, et al. (see THANKS for the full author list)
7
9
10  * -------------------------------------------------------------------------- */
11
19 // \callgraph
20 #pragma once
21
23
24 namespace gtsam {
25
33  class GTSAM_EXPORT GaussianDensity : public GaussianConditional {
34
35  public:
36
37  typedef boost::shared_ptr<GaussianDensity> shared_ptr;
38
42  }
43
45  GaussianDensity(const GaussianConditional& conditional) :
46  GaussianConditional(conditional) {
47  if(conditional.nrParents() != 0)
48  throw std::invalid_argument("GaussianDensity can only be created from a conditional with no parents");
49  }
50
52  GaussianDensity(Key key, const Vector& d, const Matrix& R, const SharedDiagonal& noiseModel = SharedDiagonal()) :
53  GaussianConditional(key, d, R, noiseModel) {}
54
56  static GaussianDensity FromMeanAndStddev(Key key, const Vector& mean, const double& sigma);
57
59  void print(const std::string& = "GaussianDensity",
60  const KeyFormatter& formatter = DefaultKeyFormatter) const;
61
63  Vector mean() const;
64
66  Matrix covariance() const;
67
68  };
69  // GaussianDensity
70
71 }// 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.
void print(const Matrix &A, const string &s, ostream &stream)
print without optional string, must specify cout yourself
Definition: Matrix.cpp:141
A Gaussian density.
Definition: GaussianDensity.h:33
std::uint64_t Key
Integer nonlinear key type.
Definition: types.h:57
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
GaussianDensity(Key key, const Vector &d, const Matrix &R, const SharedDiagonal &noiseModel=SharedDiagonal())
constructor using d, R
Definition: GaussianDensity.h:52
GaussianDensity(const GaussianConditional &conditional)
Copy constructor from GaussianConditional.
Definition: GaussianDensity.h:45
size_t nrParents() const
return the number of parents
Definition: Conditional.h:87
Global functions in a separate testing namespace.
Definition: chartTesting.h:28
GaussianDensity()
default constructor needed for serialization
Definition: GaussianDensity.h:40