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Added Marc's ES files and .dsp files for others

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jmerelo 1999-11-15 09:26:33 +00:00
commit 449ed17ff8
71 changed files with 6359 additions and 4825 deletions
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132
eo/src/eoNegExp.h
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@ -1,66 +1,66 @@
// -*- mode: c++; c-indent-level: 4; c++-member-init-indent: 8; comment-column: 35; -*-
//-----------------------------------------------------------------------------
// eoNegExp.h
// (c) GeNeura Team, 1998
/*
This library is free software; you can redistribute it and/or
modify it under the terms of the GNU Lesser General Public
License as published by the Free Software Foundation; either
version 2 of the License, or (at your option) any later version.
This library is distributed in the hope that it will be useful,
but WITHOUT ANY WARRANTY; without even the implied warranty of
MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU
Lesser General Public License for more details.
You should have received a copy of the GNU Lesser General Public
License along with this library; if not, write to the Free Software
Foundation, Inc., 59 Temple Place, Suite 330, Boston, MA 02111-1307 USA
Contact: todos@geneura.ugr.es, http://geneura.ugr.es
*/
//-----------------------------------------------------------------------------
#ifndef _EONEGEXP_H
#define _EONEGEXP_H
//-----------------------------------------------------------------------------
#include <math.h>
#include <eoRnd.h> // for base class
#include <eoRNG.h> // for base class
//-----------------------------------------------------------------------------
// Class eoNegExp
//-----------------------------------------------------------------------------
/// Generates random numbers using a negative exponential distribution
template<class T>
class eoNegExp: public eoRnd<T>
{
public:
/**
* Default constructor.
* @param _mean Dsitribution mean
*/
eoNegExp(T _mean): eoRnd<T>(), mean(_mean) {};
/**
* Copy constructor.
* @param _rnd the copyee
*/
eoNegExp( const eoNegExp& _rnd): eoRnd<T>( _rnd), mean(_rnd.mean) {};
/// Returns an uniform dandom number over the interval [min, max).
virtual T operator()() {
return T( -mean*log((double)rng.rand() / rng.rand_max())); }
private:
T mean;
};
//-----------------------------------------------------------------------------
#endif
// -*- mode: c++; c-indent-level: 4; c++-member-init-indent: 8; comment-column: 35; -*-
//-----------------------------------------------------------------------------
// eoNegExp.h
// (c) GeNeura Team, 1998
/*
This library is free software; you can redistribute it and/or
modify it under the terms of the GNU Lesser General Public
License as published by the Free Software Foundation; either
version 2 of the License, or (at your option) any later version.
This library is distributed in the hope that it will be useful,
but WITHOUT ANY WARRANTY; without even the implied warranty of
MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU
Lesser General Public License for more details.
You should have received a copy of the GNU Lesser General Public
License along with this library; if not, write to the Free Software
Foundation, Inc., 59 Temple Place, Suite 330, Boston, MA 02111-1307 USA
Contact: todos@geneura.ugr.es, http://geneura.ugr.es
*/
//-----------------------------------------------------------------------------
#ifndef _EONEGEXP_H
#define _EONEGEXP_H
//-----------------------------------------------------------------------------
#include <math.h>
#include <eoRnd.h> // for base class
#include <eoRNG.h> // for base class
//-----------------------------------------------------------------------------
// Class eoNegExp
//-----------------------------------------------------------------------------
/// Generates random numbers using a negative exponential distribution
template<class T>
class eoNegExp: public eoRnd<T>
{
public:
/**
* Default constructor.
* @param _mean Dsitribution mean
*/
eoNegExp(T _mean): eoRnd<T>(), mean(_mean) {};
/**
* Copy constructor.
* @param _rnd the copyee
*/
eoNegExp( const eoNegExp& _rnd): eoRnd<T>( _rnd), mean(_rnd.mean) {};
/// Returns an uniform dandom number over the interval [min, max).
virtual T operator()() {
return T( -mean*log((double)rng.rand() / rng.rand_max())); }
private:
T mean;
};
//-----------------------------------------------------------------------------
#endif