27 #include <queso/InvLogitGaussianVectorRealizer.h>
28 #include <queso/GslVector.h>
29 #include <queso/GslMatrix.h>
30 #include <queso/math_macros.h>
34 template<
class V,
class M>
38 const V & lawExpVector,
39 const M & lowerCholLawCovMatrix)
41 unifiedImageBoxSubset, std::numeric_limits<unsigned int>::max()),
42 m_unifiedLawExpVector(new V(lawExpVector)),
43 m_unifiedLawVarVector(
44 unifiedImageBoxSubset.vectorSpace().newVector(INFINITY)),
45 m_lowerCholLawCovMatrix(new M(lowerCholLawCovMatrix)),
49 m_unifiedImageBoxSubset(unifiedImageBoxSubset)
54 template<
class V,
class M>
58 const V & lawExpVector,
63 unifiedImageBoxSubset, std::numeric_limits<unsigned int>::max()),
64 m_unifiedLawExpVector(new V(lawExpVector)),
65 m_unifiedLawVarVector(
66 unifiedImageBoxSubset.vectorSpace().newVector( INFINITY)),
67 m_lowerCholLawCovMatrix(NULL),
69 m_vecSsqrt(new V(vecSsqrt)),
70 m_matVt(new M(matVt)),
71 m_unifiedImageBoxSubset(unifiedImageBoxSubset)
76 template<
class V,
class M>
82 delete m_lowerCholLawCovMatrix;
83 delete m_unifiedLawVarVector;
84 delete m_unifiedLawExpVector;
87 template <
class V,
class M>
91 return *m_unifiedLawExpVector;
94 template <
class V,
class M>
98 return *m_unifiedLawVarVector;
101 template<
class V,
class M>
105 V iidGaussianVector(m_unifiedImageSet.vectorSpace().zeroVector());
107 iidGaussianVector.cwSetGaussian(0.0, 1.0);
109 if (m_lowerCholLawCovMatrix) {
110 nextValues = (*m_unifiedLawExpVector) +
111 (*m_lowerCholLawCovMatrix) * iidGaussianVector;
113 else if (m_matU && m_vecSsqrt && m_matVt) {
114 nextValues = (*m_unifiedLawExpVector) +
115 (*m_matU) * ((*m_vecSsqrt) * ((*m_matVt) * iidGaussianVector));
118 queso_error_msg(
"GaussianVectorRealizer<V,M>::realization() inconsistent internal state");
121 V min_domain_bounds(this->m_unifiedImageBoxSubset.minValues());
122 V max_domain_bounds(this->m_unifiedImageBoxSubset.maxValues());
124 for (
unsigned int i = 0; i < nextValues.sizeLocal(); i++) {
125 double temp = std::exp(nextValues[i]);
126 double min_val = min_domain_bounds[i];
127 double max_val = max_domain_bounds[i];
132 nextValues[i] = (max_val * temp + min_val) / (1.0 + temp);
138 nextValues[i] = temp + min_val;
144 nextValues[i] = (max_val * temp - 1.0) / temp;
149 template<
class V,
class M>
152 const V & newLawExpVector)
155 delete m_unifiedLawExpVector;
157 m_unifiedLawExpVector =
new V(newLawExpVector);
160 template<
class V,
class M>
163 const M & newLowerCholLawCovMatrix)
166 delete m_lowerCholLawCovMatrix;
171 m_lowerCholLawCovMatrix =
new M(newLowerCholLawCovMatrix);
177 template<
class V,
class M>
185 delete m_lowerCholLawCovMatrix;
190 m_lowerCholLawCovMatrix = NULL;
191 m_matU =
new M(matU);
192 m_vecSsqrt =
new V(vecSsqrt);
193 m_matVt =
new M(matVt);
void updateLawExpVector(const V &newLawExpVector)
Updates the mean of the Gaussian with the new value newLawExpVector.
A templated (base) class for handling sampling from vector RVs.
bool queso_isfinite(T arg)
void updateLowerCholLawCovMatrix(const M &newLowerCholLawCovMatrix)
Updates the lower triangular matrix from Cholesky decomposition of the covariance matrix to the new v...
const V & unifiedLawVarVector() const
Access to the vector of variance values and private attribute: m_unifiedLawVarVector.
V * m_unifiedLawExpVector
A class for handling sampling from (transformed) Gaussian probability density distributions with boun...
Class representing a subset of a vector space shaped like a hypercube.
InvLogitGaussianVectorRealizer(const char *prefix, const BoxSubset< V, M > &unifiedImageBoxSubset, const V &lawExpVector, const M &lowerCholLawCovMatrix)
Constructor.
void realization(V &nextValues) const
Draws a realization.
~InvLogitGaussianVectorRealizer()
Destructor.
const V & unifiedLawExpVector() const
Access to the vector of mean values of the Gaussian and private attribute: m_unifiedLawExpVector.