queso-0.57.0
GaussianLikelihoodBlockDiagonalCovarianceRandomCoefficients.h
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4 // QUESO - a library to support the Quantification of Uncertainty
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24 
25 #ifndef UQ_GAUSSIAN_LIKELIHOOD_BLOCK_DIAG_COV_RAND_COEFFS_H
26 #define UQ_GAUSSIAN_LIKELIHOOD_BLOCK_DIAG_COV_RAND_COEFFS_H
27 
28 #include <queso/GslBlockMatrix.h>
29 #include <queso/LikelihoodBase.h>
30 
31 namespace QUESO {
32 
33 class GslVector;
34 class GslMatrix;
35 
46 template <class V = GslVector, class M = GslMatrix>
48 public:
50 
51 
62  const VectorSet<V, M> & domainSet, const V & observations,
63  const GslBlockMatrix & covariance);
64 
68 
70 
79  virtual double lnValue(const V & domainVector) const;
80 
81 private:
83 };
84 
85 } // End namespace QUESO
86 
87 #endif // UQ_GAUSSIAN_LIKELIHOOD_BLOCK_DIAG_COV_RAND_COEFFS_H
Class for representing block matrices using GSL library.
virtual double lnValue(const V &domainVector) const
Logarithm of the value of the scalar function.
A class representing a Gaussian likelihood with block-diagonal covariance matrix. ...
const VectorSet< V, M > & domainSet() const
Access to the protected attribute m_domainSet: domain set of the scalar function. ...
GaussianLikelihoodBlockDiagonalCovarianceRandomCoefficients(const char *prefix, const VectorSet< V, M > &domainSet, const V &observations, const GslBlockMatrix &covariance)
Default constructor.
A templated class for handling sets.
Definition: VectorSet.h:52
Base class for canned Gaussian likelihoods.

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