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
virtual double actualValue(const V &domainVector, const V *domainDirection, V *gradVector, M *hessianMatrix, V *hessianEffect) const
Actual value of the scalar function.
A templated class for handling sets.
virtual ~GaussianLikelihoodBlockDiagonalCovarianceRandomCoefficients()
Destructor.
GaussianLikelihoodBlockDiagonalCovarianceRandomCoefficients(const char *prefix, const VectorSet< V, M > &domainSet, const V &observations, const GslBlockMatrix &covariance)
Default constructor.
virtual double lnValue(const V &domainVector, const V *domainDirection, V *gradVector, M *hessianMatrix, V *hessianEffect) const
Logarithm of the value of the scalar function.
Class for representing block matrices using GSL library.
const VectorSet< V, M > & domainSet() const
Access to the protected attribute m_domainSet: domain set of the scalar function. ...
const GslBlockMatrix & m_covariance
Base class for canned Gaussian likelihoods.
A class representing a Gaussian likelihood with block-diagonal covariance matrix. ...