From 7ce331c01ce6eb7b3f5c715a38a24359da9c6ee2 Mon Sep 17 00:00:00 2001
From: Eric Andersen <andersen@codepoet.org>
Date: Thu, 22 Nov 2001 14:04:29 +0000
Subject: Totally rework the math library, this time based on the MacOs X math
 library (which is itself based on the math lib from FreeBSD).  -Erik

---
 libm/double/pdtr.c | 184 -----------------------------------------------------
 1 file changed, 184 deletions(-)
 delete mode 100644 libm/double/pdtr.c

(limited to 'libm/double/pdtr.c')

diff --git a/libm/double/pdtr.c b/libm/double/pdtr.c
deleted file mode 100644
index 5b4ae4054..000000000
--- a/libm/double/pdtr.c
+++ /dev/null
@@ -1,184 +0,0 @@
-/*							pdtr.c
- *
- *	Poisson distribution
- *
- *
- *
- * SYNOPSIS:
- *
- * int k;
- * double m, y, pdtr();
- *
- * y = pdtr( k, m );
- *
- *
- *
- * DESCRIPTION:
- *
- * Returns the sum of the first k terms of the Poisson
- * distribution:
- *
- *   k         j
- *   --   -m  m
- *   >   e    --
- *   --       j!
- *  j=0
- *
- * The terms are not summed directly; instead the incomplete
- * gamma integral is employed, according to the relation
- *
- * y = pdtr( k, m ) = igamc( k+1, m ).
- *
- * The arguments must both be positive.
- *
- *
- *
- * ACCURACY:
- *
- * See igamc().
- *
- */
-/*							pdtrc()
- *
- *	Complemented poisson distribution
- *
- *
- *
- * SYNOPSIS:
- *
- * int k;
- * double m, y, pdtrc();
- *
- * y = pdtrc( k, m );
- *
- *
- *
- * DESCRIPTION:
- *
- * Returns the sum of the terms k+1 to infinity of the Poisson
- * distribution:
- *
- *  inf.       j
- *   --   -m  m
- *   >   e    --
- *   --       j!
- *  j=k+1
- *
- * The terms are not summed directly; instead the incomplete
- * gamma integral is employed, according to the formula
- *
- * y = pdtrc( k, m ) = igam( k+1, m ).
- *
- * The arguments must both be positive.
- *
- *
- *
- * ACCURACY:
- *
- * See igam.c.
- *
- */
-/*							pdtri()
- *
- *	Inverse Poisson distribution
- *
- *
- *
- * SYNOPSIS:
- *
- * int k;
- * double m, y, pdtr();
- *
- * m = pdtri( k, y );
- *
- *
- *
- *
- * DESCRIPTION:
- *
- * Finds the Poisson variable x such that the integral
- * from 0 to x of the Poisson density is equal to the
- * given probability y.
- *
- * This is accomplished using the inverse gamma integral
- * function and the relation
- *
- *    m = igami( k+1, y ).
- *
- *
- *
- *
- * ACCURACY:
- *
- * See igami.c.
- *
- * ERROR MESSAGES:
- *
- *   message         condition      value returned
- * pdtri domain    y < 0 or y >= 1       0.0
- *                     k < 0
- *
- */
-
-/*
-Cephes Math Library Release 2.8:  June, 2000
-Copyright 1984, 1987, 1995, 2000 by Stephen L. Moshier
-*/
-
-#include <math.h>
-#ifdef ANSIPROT
-extern double igam ( double, double );
-extern double igamc ( double, double );
-extern double igami ( double, double );
-#else
-double igam(), igamc(), igami();
-#endif
-
-double pdtrc( k, m )
-int k;
-double m;
-{
-double v;
-
-if( (k < 0) || (m <= 0.0) )
-	{
-	mtherr( "pdtrc", DOMAIN );
-	return( 0.0 );
-	}
-v = k+1;
-return( igam( v, m ) );
-}
-
-
-
-double pdtr( k, m )
-int k;
-double m;
-{
-double v;
-
-if( (k < 0) || (m <= 0.0) )
-	{
-	mtherr( "pdtr", DOMAIN );
-	return( 0.0 );
-	}
-v = k+1;
-return( igamc( v, m ) );
-}
-
-
-double pdtri( k, y )
-int k;
-double y;
-{
-double v;
-
-if( (k < 0) || (y < 0.0) || (y >= 1.0) )
-	{
-	mtherr( "pdtri", DOMAIN );
-	return( 0.0 );
-	}
-v = k+1;
-v = igami( v, y );
-return( v );
-}
-- 
cgit v1.2.3