freebsd-dev/gnu/lib/libg++/include/Normal.h
Poul-Henning Kamp 61d5ffaf10 I belive this should be makeable under 2.0. There may be outstanding
issues in these areas:
    .h's installed
    .hP's installed
    -lcurses interaction
    files needed in ~/legal for copyleft reasons.
1994-08-08 05:52:55 +00:00

67 lines
1.8 KiB
C++

// This may look like C code, but it is really -*- C++ -*-
/*
Copyright (C) 1988 Free Software Foundation
written by Dirk Grunwald (grunwald@cs.uiuc.edu)
This file is part of the GNU C++ Library. This library is free
software; you can redistribute it and/or modify it under the terms of
the GNU Library 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 Library General Public License for more details.
You should have received a copy of the GNU Library General Public
License along with this library; if not, write to the Free Software
Foundation, 675 Mass Ave, Cambridge, MA 02139, USA.
*/
#ifndef _Normal_h
#ifdef __GNUG__
#pragma interface
#endif
#define _Normal_h
#include <Random.h>
class Normal: public Random {
char haveCachedNormal;
double cachedNormal;
protected:
double pMean;
double pVariance;
double pStdDev;
public:
Normal(double xmean, double xvariance, RNG *gen);
double mean();
double mean(double x);
double variance();
double variance(double x);
virtual double operator()();
};
inline Normal::Normal(double xmean, double xvariance, RNG *gen)
: Random(gen) {
pMean = xmean;
pVariance = xvariance;
pStdDev = sqrt(pVariance);
haveCachedNormal = 0;
}
inline double Normal::mean() { return pMean; };
inline double Normal::mean(double x) {
double t=pMean; pMean = x;
return t;
}
inline double Normal::variance() { return pVariance; }
inline double Normal::variance(double x) {
double t=pVariance; pVariance = x;
pStdDev = sqrt(pVariance);
return t;
};
#endif