Bayesian Filtering Library  Generated from SVN r
analyticconditionalgaussian.h
1 // $Id$
2 // Copyright (C) 2002 Klaas Gadeyne <first dot last at gmail dot com>
3 //
4 // This program is free software; you can redistribute it and/or modify
5 // it under the terms of the GNU Lesser General Public License as published by
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7 // (at your option) any later version.
8 //
9 // This program is distributed in the hope that it will be useful,
10 // but WITHOUT ANY WARRANTY; without even the implied warranty of
11 // MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
12 // GNU Lesser General Public License for more details.
13 //
14 // You should have received a copy of the GNU Lesser General Public License
15 // along with this program; if not, write to the Free Software
16 // Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA.
17 //
18 
19 #ifndef __ANALYTIC_CONDITIONAL_GAUSSIAN__
20 #define __ANALYTIC_CONDITIONAL_GAUSSIAN__
21 
22 #include "conditionalgaussian.h"
23 
24 namespace BFL
25 {
26 
28 
37  {
38  public:
40 
45  AnalyticConditionalGaussian(int dim = 0, int num_conditional_arguments=0);
46 
47  // Default Copy constructor will do
48 
51 
53 
58  virtual MatrixWrapper::Matrix dfGet(unsigned int i) const;
59 
60  };
61 
62 } // End namespace BFL
63 
64 #endif // __ANALYTIC_CONDITIONAL_GAUSSIAN__
65 
MatrixWrapper::Matrix
Implementation of Matrixwrapper using Boost.
Definition: matrix_BOOST.h:46
BFL::AnalyticConditionalGaussian
Abstract Class representing all FULL Analytical Conditional gaussians.
Definition: analyticconditionalgaussian.h:36
BFL::ConditionalGaussian
Abstract Class representing all Conditional gaussians.
Definition: conditionalgaussian.h:40
BFL::AnalyticConditionalGaussian::~AnalyticConditionalGaussian
virtual ~AnalyticConditionalGaussian()
Destructor.
BFL::AnalyticConditionalGaussian::AnalyticConditionalGaussian
AnalyticConditionalGaussian(int dim=0, int num_conditional_arguments=0)
Constructor.
BFL::AnalyticConditionalGaussian::dfGet
virtual MatrixWrapper::Matrix dfGet(unsigned int i) const
returns derivative from function to n-th conditional variable