/usr/include/wfmath-1.0/wfmath/probability.h is in libwfmath-1.0-dev 1.0.2+dfsg1-4.
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1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 | // probability.h (probability and statistics functions)
//
// The WorldForge Project
// Copyright (C) 2002 The WorldForge Project
//
// This program is free software; you can redistribute it and/or modify
// it under the terms of the GNU General Public License as published by
// the Free Software Foundation; either version 2 of the License, or
// (at your option) any later version.
//
// This program 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 General Public License for more details.
//
// You should have received a copy of the GNU General Public License
// along with this program; if not, write to the Free Software
// Foundation, Inc., 675 Mass Ave, Cambridge, MA 02139, USA.
//
// For information about WorldForge and its authors, please contact
// the Worldforge Web Site at http://www.worldforge.org.
// Author: Ron Steinke
// Created: 2002-1-23
// These functions will use double instead of CoordType, for accuracy
#ifndef WFMATH_PROBABILTIY_H
#define WFMATH_PROBABILTIY_H
namespace WFMath {
/// Gives the conditional probability of the Gaussian distribution at position val
/**
* The probability that a Gaussian random variable will fall between
* val and val + delta, given that it is already known to be not
* less than val, is given by this function multiplied by delta
* (for small delta).
**/
template<typename FloatT>
FloatT GaussianConditional(FloatT mean, FloatT stddev, FloatT val);
/// Gives the value of the Gaussian distribution at position val
template<typename FloatT>
FloatT Gaussian(FloatT mean, FloatT stddev, FloatT val);
/// Gives the conditional probability of the Poisson distribution at position step
/**
* Returns the probability that a Poisson random variable will have value
* step, given that it is already known not to be less than step.
**/
template<typename FloatT>
FloatT PoissonConditional(FloatT mean, unsigned int step);
/// Gives the value of the Poisson distribution at position step
template<typename FloatT>
FloatT Poisson(FloatT mean, unsigned int step);
/// Gives the natural log of n!
template<typename FloatT>
FloatT LogFactorial(unsigned int n);
/// Gives n!
template<typename FloatT>
FloatT Factorial(unsigned int n);
/// The natural log of Euler's Gamma function
template<typename FloatT>
FloatT LogGamma(FloatT z);
/// Euler's Gamma function
template<typename FloatT>
FloatT Gamma(FloatT z);
} // namespace WFMath
#endif // WFMATH_PROBABILITY_H
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