From 1077fa4d772832f77a677ce7fb7c2d513b959e3f Mon Sep 17 00:00:00 2001
From: Eric Andersen <andersen@codepoet.org>
Date: Thu, 10 May 2001 00:40:28 +0000
Subject: uClibc now has a math library.  muahahahaha!  -Erik

---
 libm/ldouble/pdtrl.c | 184 +++++++++++++++++++++++++++++++++++++++++++++++++++
 1 file changed, 184 insertions(+)
 create mode 100644 libm/ldouble/pdtrl.c

(limited to 'libm/ldouble/pdtrl.c')

diff --git a/libm/ldouble/pdtrl.c b/libm/ldouble/pdtrl.c
new file mode 100644
index 000000000..861b1d9ae
--- /dev/null
+++ b/libm/ldouble/pdtrl.c
@@ -0,0 +1,184 @@
+/*							pdtrl.c
+ *
+ *	Poisson distribution
+ *
+ *
+ *
+ * SYNOPSIS:
+ *
+ * int k;
+ * long double m, y, pdtrl();
+ *
+ * y = pdtrl( 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().
+ *
+ */
+/*							pdtrcl()
+ *
+ *	Complemented poisson distribution
+ *
+ *
+ *
+ * SYNOPSIS:
+ *
+ * int k;
+ * long double m, y, pdtrcl();
+ *
+ * y = pdtrcl( 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.
+ *
+ */
+/*							pdtril()
+ *
+ *	Inverse Poisson distribution
+ *
+ *
+ *
+ * SYNOPSIS:
+ *
+ * int k;
+ * long double m, y, pdtrl();
+ *
+ * m = pdtril( 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 2.3:  March, 1995
+Copyright 1984, 1995 by Stephen L. Moshier
+*/
+
+#include <math.h>
+#ifdef ANSIPROT
+extern long double igaml ( long double, long double );
+extern long double igamcl ( long double, long double );
+extern long double igamil ( long double, long double );
+#else
+long double igaml(), igamcl(), igamil();
+#endif
+
+long double pdtrcl( k, m )
+int k;
+long double m;
+{
+long double v;
+
+if( (k < 0) || (m <= 0.0L) )
+	{
+	mtherr( "pdtrcl", DOMAIN );
+	return( 0.0L );
+	}
+v = k+1;
+return( igaml( v, m ) );
+}
+
+
+
+long double pdtrl( k, m )
+int k;
+long double m;
+{
+long double v;
+
+if( (k < 0) || (m <= 0.0L) )
+	{
+	mtherr( "pdtrl", DOMAIN );
+	return( 0.0L );
+	}
+v = k+1;
+return( igamcl( v, m ) );
+}
+
+
+long double pdtril( k, y )
+int k;
+long double y;
+{
+long double v;
+
+if( (k < 0) || (y < 0.0L) || (y >= 1.0L) )
+	{
+	mtherr( "pdtril", DOMAIN );
+	return( 0.0L );
+	}
+v = k+1;
+v = igamil( v, y );
+return( v );
+}
-- 
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