queso-0.57.0
GammaJointPdf.C
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1 //-----------------------------------------------------------------------bl-
2 //--------------------------------------------------------------------------
3 //
4 // QUESO - a library to support the Quantification of Uncertainty
5 // for Estimation, Simulation and Optimization
6 //
7 // Copyright (C) 2008-2017 The PECOS Development Team
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23 //-----------------------------------------------------------------------el-
24 
25 #include <queso/GammaJointPdf.h>
26 #include <queso/GslVector.h>
27 #include <queso/GslMatrix.h>
28 #include <queso/BasicPdfsBase.h>
29 
30 namespace QUESO {
31 
32 // Constructor -------------------------------------
33 template<class V,class M>
35  const char* prefix,
36  const VectorSet<V,M>& domainSet,
37  const V& a,
38  const V& b)
39  :
40  BaseJointPdf<V,M>(((std::string)(prefix)+"uni").c_str(),domainSet),
41  m_a(a),
42  m_b(b)
43 {
44  if ((m_env.subDisplayFile()) && (m_env.displayVerbosity() >= 54)) {
45  *m_env.subDisplayFile() << "Entering GammaJointPdf<V,M>::constructor()"
46  << ": prefix = " << m_prefix
47  << std::endl;
48  }
49 
50  if ((m_env.subDisplayFile()) && (m_env.displayVerbosity() >= 54)) {
51  *m_env.subDisplayFile() << "Leaving GammaJointPdf<V,M>::constructor()"
52  << ": prefix = " << m_prefix
53  << std::endl;
54  }
55 }
56 // Destructor --------------------------------------
57 template<class V,class M>
59 {
60 }
61 // Math methods-------------------------------------
62 template<class V, class M>
63 double
65  const V& domainVector,
66  const V* domainDirection,
67  V* gradVector,
68  M* hessianMatrix,
69  V* hessianEffect) const
70 {
71  queso_require_equal_to_msg(domainVector.sizeLocal(), this->m_domainSet.vectorSpace().dimLocal(), "invalid input");
72 
73  queso_require_msg(!(domainDirection || gradVector || hessianMatrix || hessianEffect), "incomplete code for gradVector, hessianMatrix and hessianEffect calculations");
74 
75  // No need to multiply by exp(m_logOfNormalizationFactor) because 'lnValue()' is called [PDF-06]
76  return exp(this->lnValue(domainVector,domainDirection,gradVector,hessianMatrix,hessianEffect));
77 }
78 //--------------------------------------------------
79 template<class V, class M>
80 double
82  const V& domainVector,
83  const V* domainDirection,
84  V* gradVector,
85  M* hessianMatrix,
86  V* hessianEffect) const
87 {
88  queso_require_msg(!(domainDirection || gradVector || hessianMatrix || hessianEffect), "incomplete code for gradVector, hessianMatrix and hessianEffect calculations");
89 
90  double aux = 0.;
91  double result = 0.;
92  for (unsigned int i = 0; i < domainVector.sizeLocal(); ++i) {
93  if (m_normalizationStyle == 0) {
94  aux = log(m_env.basicPdfs()->gammaPdfActualValue(domainVector[i],m_a[i],m_b[i]));
95  }
96  else {
97  aux = (m_a[i]-1.)*log(domainVector[i]) - domainVector[i]/m_b[i];
98  }
99  if ((m_env.subDisplayFile()) && (m_env.displayVerbosity() >= 99)) {
100  *m_env.subDisplayFile() << "In GammaJointPdf<V,M>::lnValue()"
101  << ", m_normalizationStyle = " << m_normalizationStyle
102  << ": domainVector[" << i << "] = " << domainVector[i]
103  << ", m_a[" << i << "] = " << m_a[i]
104  << ", m_b[" << i << "] = " << m_b[i]
105  << ", log(pdf)= " << aux
106  << std::endl;
107  }
108  result += aux;
109  }
110  result += m_logOfNormalizationFactor; // [PDF-06]
111 
112  return result;
113 }
114 //--------------------------------------------------
115 template<class V, class M>
116 void
118 {
119  queso_assert_equal_to(m_a.sizeLocal(), m_b.sizeLocal());
120  queso_assert_equal_to(m_a.sizeLocal(), meanVector.sizeLocal());
121 
122  for (unsigned int i = 0; i < m_a.sizeLocal(); ++i) {
123  meanVector[i] = m_a[i] * m_b[i];
124  }
125 }
126 //--------------------------------------------------
127 template<class V, class M>
128 void
130 {
131  queso_assert_equal_to(m_a.sizeLocal(), m_b.sizeLocal());
132  queso_assert_equal_to(m_a.sizeLocal(), covMatrix.numRowsGlobal());
133  queso_assert_equal_to(covMatrix.numCols(), covMatrix.numRowsGlobal());
134 
135  covMatrix.zeroLower();
136  covMatrix.zeroUpper();
137 
138  for (unsigned int i = 0; i < m_a.sizeLocal(); ++i) {
139  covMatrix(i,i) = m_a[i] * m_b[i] * m_b[i];
140  }
141 }
142 //--------------------------------------------------
143 template<class V, class M>
144 double
145 GammaJointPdf<V,M>::computeLogOfNormalizationFactor(unsigned int numSamples, bool updateFactorInternally) const
146 {
147  double value = 0.;
148 
149  if ((m_env.subDisplayFile()) && (m_env.displayVerbosity() >= 2)) {
150  *m_env.subDisplayFile() << "Entering GammaJointPdf<V,M>::computeLogOfNormalizationFactor()"
151  << std::endl;
152  }
153  value = BaseJointPdf<V,M>::commonComputeLogOfNormalizationFactor(numSamples, updateFactorInternally);
154  if ((m_env.subDisplayFile()) && (m_env.displayVerbosity() >= 2)) {
155  *m_env.subDisplayFile() << "Leaving GammaJointPdf<V,M>::computeLogOfNormalizationFactor()"
156  << ", m_logOfNormalizationFactor = " << m_logOfNormalizationFactor
157  << std::endl;
158  }
159 
160  return value;
161 }
162 
163 } // End namespace QUESO
164 
A class for handling Gamma joint PDFs.
Definition: GammaJointPdf.h:47
virtual void distributionMean(V &meanVector) const
Mean value of the underlying random variable.
GammaJointPdf(const char *prefix, const VectorSet< V, M > &domainSet, const V &a, const V &b)
Definition: GammaJointPdf.C:34
double lnValue(const V &domainVector, const V *domainDirection, V *gradVector, M *hessianMatrix, V *hessianEffect) const
Logarithm of the value of the Gamma PDF.
Definition: GammaJointPdf.C:81
const BaseEnvironment & m_env
A templated (base) class for handling joint PDFs.
Definition: JointPdf.h:55
~GammaJointPdf()
Destructor.
Definition: GammaJointPdf.C:58
double computeLogOfNormalizationFactor(unsigned int numSamples, bool updateFactorInternally) const
Computes the logarithm of the normalization factor.
A templated class for handling sets.
Definition: VectorSet.h:52
double commonComputeLogOfNormalizationFactor(unsigned int numSamples, bool updateFactorInternally) const
Common method (to the derived classes) to compute the logarithm of the normalization factor...
Definition: JointPdf.C:115
virtual void distributionVariance(M &covMatrix) const
Covariance matrix of the underlying random variable.
double actualValue(const V &domainVector, const V *domainDirection, V *gradVector, M *hessianMatrix, V *hessianEffect) const
Actual value of the Gamma PDF.
Definition: GammaJointPdf.C:64
MonteCarloSGOptions::MonteCarloSGOptions(const BaseEnvironment &env, const char *prefix, const McOptionsValues &alternativeOptionsValues queso_require_equal_to_msg)(m_env.optionsInputFileName(), std::string(""), std::string("this constructor is incompatible with the existence of an options input file"))
std::ofstream * subDisplayFile() const
Access function for m_subDisplayFile (displays file on stream).
Definition: Environment.C:320
unsigned int displayVerbosity() const
Definition: Environment.C:450

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