queso-0.53.0
GaussianLikelihoodBlockDiagonalCovariance.h
Go to the documentation of this file.
1 //-----------------------------------------------------------------------bl-
2 //--------------------------------------------------------------------------
3 //
4 // QUESO - a library to support the Quantification of Uncertainty
5 // for Estimation, Simulation and Optimization
6 //
7 // Copyright (C) 2008-2015 The PECOS Development Team
8 //
9 // This library is free software; you can redistribute it and/or
10 // modify it under the terms of the Version 2.1 GNU Lesser General
11 // Public License as published by the Free Software Foundation.
12 //
13 // This library is distributed in the hope that it will be useful,
14 // but WITHOUT ANY WARRANTY; without even the implied warranty of
15 // MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU
16 // Lesser General Public License for more details.
17 //
18 // You should have received a copy of the GNU Lesser General Public
19 // License along with this library; if not, write to the Free Software
20 // Foundation, Inc. 51 Franklin Street, Fifth Floor,
21 // Boston, MA 02110-1301 USA
22 //
23 //-----------------------------------------------------------------------el-
24 
25 #ifndef UQ_GAUSSIAN_LIKELIHOOD_BLOCK_DIAG_COV_H
26 #define UQ_GAUSSIAN_LIKELIHOOD_BLOCK_DIAG_COV_H
27 
28 #include <vector>
29 #include <queso/GslBlockMatrix.h>
30 #include <queso/GaussianLikelihood.h>
31 
32 namespace QUESO {
33 
34 class GslVector;
35 class GslMatrix;
36 
44 template <class V = GslVector, class M = GslMatrix>
46 public:
48 
49 
60  const VectorSet<V, M> & domainSet, const V & observations,
61  const GslBlockMatrix & covariance);
62 
66 
68  double & blockCoefficient(unsigned int i);
69 
71  const double & getBlockCoefficient(unsigned int i) const;
72 
74  virtual double actualValue(const V & domainVector, const V * domainDirection,
75  V * gradVector, M * hessianMatrix, V * hessianEffect) const;
76 
78  virtual double lnValue(const V & domainVector, const V * domainDirection,
79  V * gradVector, M * hessianMatrix, V * hessianEffect) const;
80 
81 private:
82  std::vector<double> m_covarianceCoefficients;
84 };
85 
86 } // End namespace QUESO
87 
88 #endif // UQ_GAUSSIAN_LIKELIHOOD_BLOCK_DIAG_COV_H
A class representing a Gaussian likelihood with block-diagonal covariance matrix. ...
A templated class for handling sets.
Definition: VectorSet.h:52
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.
virtual double actualValue(const V &domainVector, const V *domainDirection, V *gradVector, M *hessianMatrix, V *hessianEffect) const
Actual value of the scalar function.
const VectorSet< V, M > & domainSet() const
Access to the protected attribute m_domainSet: domain set of the scalar function. ...
GaussianLikelihoodBlockDiagonalCovariance(const char *prefix, const VectorSet< V, M > &domainSet, const V &observations, const GslBlockMatrix &covariance)
Default constructor.
const double & getBlockCoefficient(unsigned int i) const
Get (const) multiplicative coefficient for block i.
Base class for canned Gaussian likelihoods.
double & blockCoefficient(unsigned int i)
Get (non-const) multiplicative coefficient for block i.

Generated on Thu Jun 11 2015 13:52:32 for queso-0.53.0 by  doxygen 1.8.5