queso-0.51.1
GaussianJointPdf.h
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4 // QUESO - a library to support the Quantification of Uncertainty
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24 
25 #ifndef UQ_GAUSSIAN_JOINT_PROB_DENSITY_H
26 #define UQ_GAUSSIAN_JOINT_PROB_DENSITY_H
27 
28 #include <cmath>
29 
30 #include <boost/math/special_functions.hpp> // for Boost isnan. Note parentheses are important in function call.
31 
32 #include <queso/JointPdf.h>
33 #include <queso/Environment.h>
34 #include <queso/ScalarFunction.h>
35 #include <queso/BoxSubset.h>
36 
37 namespace QUESO {
38 
39 //*****************************************************
40 // Gaussian probability density class [PDF-03]
41 //*****************************************************
48 template<class V, class M>
49 class GaussianJointPdf : public BaseJointPdf<V,M> {
50 public:
52 
53 
57  GaussianJointPdf(const char* prefix,
59  const V& lawExpVector,
60  const V& lawVarVector);
62 
64  GaussianJointPdf(const char* prefix,
65  const VectorSet<V,M>& domainSet,
66  const V& lawExpVector,
67  const M& lawCovMatrix);
71 
73 
74 
76 
77  double actualValue (const V& domainVector, const V* domainDirection, V* gradVector, M* hessianMatrix, V* hessianEffect) const;
78 
80 
84  double lnValue (const V& domainVector, const V* domainDirection, V* gradVector, M* hessianMatrix, V* hessianEffect) const;
85 
87 
88  double computeLogOfNormalizationFactor(unsigned int numSamples, bool updateFactorInternally) const;
89 
91 
92  void updateLawExpVector(const V& newLawExpVector);
93 
95 
96  void updateLawCovMatrix(const M& newLawCovMatrix);
97 
99  const M& lawCovMatrix () const;
100 
102  const V& lawExpVector() const;
103 
105  const V& lawVarVector() const;
107 protected:
116  const M* m_lawCovMatrix;
117 };
118 
119 } // End namespace QUESO
120 
121 #endif // UQ_GAUSSIAN_JOINT_PROB_DENSITY_H
GaussianJointPdf(const char *prefix, const VectorSet< V, M > &domainSet, const V &lawExpVector, const V &lawVarVector)
Constructor.
~GaussianJointPdf()
Destructor.
A templated class for handling sets.
Definition: VectorSet.h:49
double lnValue(const V &domainVector, const V *domainDirection, V *gradVector, M *hessianMatrix, V *hessianEffect) const
Logarithm of the value of the Gaussian PDF (scalar function).
const V & lawVarVector() const
Access to the vector of variance values and private attribute: m_lawVarVector.
const VectorSet< V, M > & domainSet() const
Access to the protected attribute m_domainSet: domain set of the scalar function. ...
void updateLawExpVector(const V &newLawExpVector)
Updates the mean with the new value newLawExpVector.
const M & lawCovMatrix() const
Returns the covariance matrix; access to protected attribute m_lawCovMatrix.
void updateLawCovMatrix(const M &newLawCovMatrix)
Updates the lower triangular matrix from Cholesky decomposition of the covariance matrix to the new v...
double actualValue(const V &domainVector, const V *domainDirection, V *gradVector, M *hessianMatrix, V *hessianEffect) const
Actual value of the Gaussian PDF:
A templated (base) class for handling scalar functions.
Definition: GslOptimizer.h:48
A class for handling Gaussian joint PDFs.
double computeLogOfNormalizationFactor(unsigned int numSamples, bool updateFactorInternally) const
Computes the logarithm of the normalization factor.
A templated (base) class for handling joint PDFs.
Definition: JointPdf.h:60
const V & lawExpVector() const
Access to the vector of mean values and private attribute: m_lawExpVector.

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