58 lines
1.6 KiB
C++
58 lines
1.6 KiB
C++
/*
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The Evolving Distribution Objects framework (EDO) is a template-based,
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ANSI-C++ evolutionary computation library which helps you to write your
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own estimation of distribution algorithms.
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This library is free software; you can redistribute it and/or
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modify it under the terms of the GNU Lesser General Public
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License as published by the Free Software Foundation; either
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version 2.1 of the License, or (at your option) any later version.
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This library is distributed in the hope that it will be useful,
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but WITHOUT ANY WARRANTY; without even the implied warranty of
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MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU
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Lesser General Public License for more details.
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You should have received a copy of the GNU Lesser General Public
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License along with this library; if not, write to the Free Software
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Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA
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Copyright (C) 2010 Thales group
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*/
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/*
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Authors:
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Johann Dréo <johann.dreo@thalesgroup.com>
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Caner Candan <caner.candan@thalesgroup.com>
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*/
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#ifndef _edoNormalMono_h
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#define _edoNormalMono_h
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#include "edoDistrib.h"
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template < typename EOT >
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class edoNormalMono : public edoDistrib< EOT >
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{
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public:
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edoNormalMono( const EOT& mean, const EOT& variance )
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: _mean(mean), _variance(variance)
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{
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assert(_mean.size() > 0);
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assert(_mean.size() == _variance.size());
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}
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unsigned int size()
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{
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assert(_mean.size() == _variance.size());
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return _mean.size();
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}
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EOT mean(){return _mean;}
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EOT variance(){return _variance;}
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private:
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EOT _mean;
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EOT _variance;
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};
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#endif // !_edoNormalMono_h
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