queso-0.53.0
GaussianJointPdf.h
Go to the documentation of this file.
1 //-----------------------------------------------------------------------bl-
2 //--------------------------------------------------------------------------
3 //
4 // QUESO - a library to support the Quantification of Uncertainty
5 // for Estimation, Simulation and Optimization
6 //
7 // Copyright (C) 2008-2015 The PECOS Development Team
8 //
9 // This library is free software; you can redistribute it and/or
10 // modify it under the terms of the Version 2.1 GNU Lesser General
11 // Public License as published by the Free Software Foundation.
12 //
13 // This library is distributed in the hope that it will be useful,
14 // but WITHOUT ANY WARRANTY; without even the implied warranty of
15 // MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU
16 // Lesser General Public License for more details.
17 //
18 // You should have received a copy of the GNU Lesser General Public
19 // License along with this library; if not, write to the Free Software
20 // Foundation, Inc. 51 Franklin Street, Fifth Floor,
21 // Boston, MA 02110-1301 USA
22 //
23 //-----------------------------------------------------------------------el-
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 class GslVector;
40 class GslMatrix;
41 
42 //*****************************************************
43 // Gaussian probability density class [PDF-03]
44 //*****************************************************
51 template <class V = GslVector, class M = GslMatrix>
52 class GaussianJointPdf : public BaseJointPdf<V,M> {
53 public:
55 
56 
60  GaussianJointPdf(const char* prefix,
62  const V& lawExpVector,
63  const V& lawVarVector);
65 
67  GaussianJointPdf(const char* prefix,
68  const VectorSet<V,M>& domainSet,
69  const V& lawExpVector,
70  const M& lawCovMatrix);
74 
76 
77 
79 
80  double actualValue (const V& domainVector, const V* domainDirection, V* gradVector, M* hessianMatrix, V* hessianEffect) const;
81 
83 
87  double lnValue (const V& domainVector, const V* domainDirection, V* gradVector, M* hessianMatrix, V* hessianEffect) const;
88 
90 
91  double computeLogOfNormalizationFactor(unsigned int numSamples, bool updateFactorInternally) const;
92 
94 
95  void updateLawExpVector(const V& newLawExpVector);
96 
98 
99  void updateLawCovMatrix(const M& newLawCovMatrix);
100 
102  const M& lawCovMatrix () const;
103 
105  const V& lawExpVector() const;
106 
108  const V& lawVarVector() const;
110 protected:
119  const M* m_lawCovMatrix;
120 };
121 
122 } // End namespace QUESO
123 
124 #endif // UQ_GAUSSIAN_JOINT_PROB_DENSITY_H
const V & lawExpVector() const
Access to the vector of mean values and private attribute: m_lawExpVector.
A templated class for handling sets.
Definition: VectorSet.h:52
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:56
void updateLawCovMatrix(const M &newLawCovMatrix)
Updates the lower triangular matrix from Cholesky decomposition of the covariance matrix to the new v...
A templated (base) class for handling scalar functions.
A class for handling Gaussian joint PDFs.
~GaussianJointPdf()
Destructor.
const VectorSet< V, M > & domainSet() const
Access to the protected attribute m_domainSet: domain set of the scalar function. ...
GaussianJointPdf(const char *prefix, const VectorSet< V, M > &domainSet, const V &lawExpVector, const V &lawVarVector)
Constructor.
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.
double actualValue(const V &domainVector, const V *domainDirection, V *gradVector, M *hessianMatrix, V *hessianEffect) const
Actual value of the Gaussian PDF:
const M & lawCovMatrix() const
Returns the covariance matrix; access to protected attribute m_lawCovMatrix.
void updateLawExpVector(const V &newLawExpVector)
Updates the mean with the new value newLawExpVector.

Generated on Thu Jun 11 2015 13:52:32 for queso-0.53.0 by  doxygen 1.8.5