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
6// the Free Software Foundation; either version 2.1 of the License, or
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
24namespace 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
Abstract Class representing all FULL Analytical Conditional gaussians.
AnalyticConditionalGaussian(int dim=0, int num_conditional_arguments=0)
Constructor.
virtual MatrixWrapper::Matrix dfGet(unsigned int i) const
returns derivative from function to n-th conditional variable
virtual ~AnalyticConditionalGaussian()
Destructor.
Abstract Class representing all Conditional gaussians.