dfgammp.cpp File Reference

(* $Id$)

$Id$ More...

#include <fvar.hpp>

Go to the source code of this file.

Defines
#define	EPS   1.0e-9
#define	FPMIN   1.0e-30
#define	ITMAX   200
Functions
dvariable	cumd_gamma (const dvariable &x, const dvariable &a)
void	gcf (const dvariable &_gammcf, const dvariable &a, const dvariable &x, const dvariable &_gln)
	Incomplete gamma function.
double	get_values (double x, double y, int print_switch)
void	gser (const dvariable &_gamser, const dvariable &a, const dvariable &x, const dvariable &_gln)
	Incomplete gamma function.

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Detailed Description

$Id$

Author: David Fournier Copyright (c) 2009-2012 ADMB Foundation

This file deals with the Incomplete Gamma Functions of variable types. All supporting mathematical functions required to compute the Inmomplete Gamma Function are included. They being: gamma function, log gamma, and some polynomial evaluation functions.

Definition in file dfgammp.cpp.

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Define Documentation

#define EPS   1.0e-9

Definition at line 19 of file dfgammp.cpp.

#define FPMIN   1.0e-30

Definition at line 21 of file dfgammp.cpp.

Referenced by gcf().

#define ITMAX   200

Definition at line 18 of file dfgammp.cpp.

Referenced by gcf(), and gser().

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Function Documentation

dvariable cumd_gamma	(	const dvariable &	x,
		const dvariable &	a
	)

Definition at line 100 of file dfgammp.cpp.

void gcf	(	const dvariable &	_gammcf,
		const dvariable &	a,
		const dvariable &	x,
		const dvariable &	_gln
	)

Incomplete gamma function.

Continued fraction approximation.

The implementation of this algorithm was inspired by "Numerical Recipes in C", 2nd edition, Press, Teukolsky, Vetterling, Flannery, chapter 6

Definition at line 30 of file dfgammp.cpp.

double get_values	(	double	x,
		double	y,
		int	print_switch
	)

void gser	(	const dvariable &	_gamser,
		const dvariable &	a,
		const dvariable &	x,
		const dvariable &	_gln
	)

Incomplete gamma function.

Series approximation.

The implementation of this algorithm was inspired by "Numerical Recipes in C", 2nd edition, Press, Teukolsky, Vetterling, Flannery, chapter 6

Definition at line 66 of file dfgammp.cpp.