25 #ifndef UQ_GAUSSIAN_LIKELIHOOD_DIAG_COV_H 
   26 #define UQ_GAUSSIAN_LIKELIHOOD_DIAG_COV_H 
   28 #include <queso/GaussianLikelihood.h> 
   39 template<
class V, 
class M>
 
   52       const V & covariance);
 
   59   virtual double actualValue(
const V & domainVector, 
const V * domainDirection,
 
   60       V * gradVector, M * hessianMatrix, V * hessianEffect) 
const;
 
   63   virtual double lnValue(
const V & domainVector, 
const V * domainDirection,
 
   64       V * gradVector, M * hessianMatrix, V * hessianEffect) 
const;
 
   72 #endif  // UQ_GAUSSIAN_LIKELIHOOD_DIAG_COV_H 
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 templated class for handling sets. 
 
virtual double actualValue(const V &domainVector, const V *domainDirection, V *gradVector, M *hessianMatrix, V *hessianEffect) const 
Actual value of the scalar function. 
 
virtual ~GaussianLikelihoodDiagonalCovariance()
Destructor. 
 
GaussianLikelihoodDiagonalCovariance(const char *prefix, const VectorSet< V, M > &domainSet, const V &observations, const V &covariance)
Default constructor. 
 
const VectorSet< V, M > & domainSet() const 
Access to the protected attribute m_domainSet: domain set of the scalar function. ...
 
A class that represents a Gaussian likelihood with diagonal covariance matrix. 
 
Base class for canned Gaussian likelihoods.