25 #ifndef UQ_GAUSSIAN_LIKELIHOOD_BLOCK_DIAG_COV_RAND_COEFFS_H 
   26 #define UQ_GAUSSIAN_LIKELIHOOD_BLOCK_DIAG_COV_RAND_COEFFS_H 
   28 #include <queso/GslBlockMatrix.h> 
   29 #include <queso/GaussianLikelihood.h> 
   46 template <
class V = GslVector, 
class M = GslMatrix>
 
   70   virtual double actualValue(
const V & domainVector, 
const V * domainDirection,
 
   71       V * gradVector, M * hessianMatrix, V * hessianEffect) 
const;
 
   83   virtual double lnValue(
const V & domainVector, 
const V * domainDirection,
 
   84       V * gradVector, M * hessianMatrix, V * hessianEffect) 
const;
 
   92 #endif  // UQ_GAUSSIAN_LIKELIHOOD_BLOCK_DIAG_COV_RAND_COEFFS_H 
Class for representing block matrices using GSL library. 
 
virtual ~GaussianLikelihoodBlockDiagonalCovarianceRandomCoefficients()
Destructor. 
 
GaussianLikelihoodBlockDiagonalCovarianceRandomCoefficients(const char *prefix, const VectorSet< V, M > &domainSet, const V &observations, const GslBlockMatrix &covariance)
Default constructor. 
 
virtual double actualValue(const V &domainVector, const V *domainDirection, V *gradVector, M *hessianMatrix, V *hessianEffect) const 
Actual value of the scalar function. 
 
const GslBlockMatrix & m_covariance
 
virtual double lnValue(const V &domainVector, const V *domainDirection, V *gradVector, M *hessianMatrix, V *hessianEffect) const 
Logarithm of the value of the scalar function. 
 
A class representing a Gaussian likelihood with block-diagonal covariance matrix. ...
 
A templated class for handling sets. 
 
const VectorSet< V, M > & domainSet() const 
Access to the protected attribute m_domainSet: domain set of the scalar function. ...
 
Base class for canned Gaussian likelihoods.