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[/] [scarts/] [trunk/] [toolchain/] [scarts-newlib/] [newlib-1.17.0/] [newlib/] [libm/] [mathfp/] [er_lgamma.c] - Rev 9

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/* @(#)er_lgamma.c 5.1 93/09/24 */
/*
 * ====================================================
 * Copyright (C) 1993 by Sun Microsystems, Inc. All rights reserved.
 *
 * Developed at SunPro, a Sun Microsystems, Inc. business.
 * Permission to use, copy, modify, and distribute this
 * software is freely granted, provided that this notice 
 * is preserved.
 * ====================================================
 *
 */
 
/*
FUNCTION
        <<gamma>>, <<gammaf>>, <<lgamma>>, <<lgammaf>>, <<gamma_r>>,
        <<gammaf_r>>, <<lgamma_r>>, <<lgammaf_r>>---logarithmic gamma
        function
INDEX
gamma
INDEX
gammaf
INDEX
lgamma
INDEX
lgammaf
INDEX
gamma_r
INDEX
gammaf_r
INDEX
lgamma_r
INDEX
lgammaf_r
 
ANSI_SYNOPSIS
#include <math.h>
double gamma(double <[x]>);
float gammaf(float <[x]>);
double lgamma(double <[x]>);
float lgammaf(float <[x]>);
double gamma_r(double <[x]>, int *<[signgamp]>);
float gammaf_r(float <[x]>, int *<[signgamp]>);
double lgamma_r(double <[x]>, int *<[signgamp]>);
float lgammaf_r(float <[x]>, int *<[signgamp]>);
 
TRAD_SYNOPSIS
#include <math.h>
double gamma(<[x]>)
double <[x]>;
float gammaf(<[x]>)
float <[x]>;
double lgamma(<[x]>)
double <[x]>;
float lgammaf(<[x]>)
float <[x]>;
double gamma_r(<[x]>, <[signgamp]>)
double <[x]>;
int <[signgamp]>;
float gammaf_r(<[x]>, <[signgamp]>)
float <[x]>;
int <[signgamp]>;
double lgamma_r(<[x]>, <[signgamp]>)
double <[x]>;
int <[signgamp]>;
float lgammaf_r(<[x]>, <[signgamp]>)
float <[x]>;
int <[signgamp]>;
 
DESCRIPTION
<<gamma>> calculates
@tex
$\mit ln\bigl(\Gamma(x)\bigr)$,
@end tex
the natural logarithm of the gamma function of <[x]>.  The gamma function
(<<exp(gamma(<[x]>))>>) is a generalization of factorial, and retains
the property that
@ifnottex
<<exp(gamma(N))>> is equivalent to <<N*exp(gamma(N-1))>>.
@end ifnottex
@tex
$\mit \Gamma(N)\equiv N\times\Gamma(N-1)$.
@end tex
Accordingly, the results of the gamma function itself grow very
quickly.  <<gamma>> is defined as
@tex
$\mit ln\bigl(\Gamma(x)\bigr)$ rather than simply $\mit \Gamma(x)$
@end tex
@ifnottex
the natural log of the gamma function, rather than the gamma function
itself,
@end ifnottex
to extend the useful range of results representable.
 
The sign of the result is returned in the global variable <<signgam>>,
which is declared in math.h.
 
<<gammaf>> performs the same calculation as <<gamma>>, but uses and
returns <<float>> values.
 
<<lgamma>> and <<lgammaf>> are alternate names for <<gamma>> and
<<gammaf>>.  The use of <<lgamma>> instead of <<gamma>> is a reminder
that these functions compute the log of the gamma function, rather
than the gamma function itself.
 
The functions <<gamma_r>>, <<gammaf_r>>, <<lgamma_r>>, and
<<lgammaf_r>> are just like <<gamma>>, <<gammaf>>, <<lgamma>>, and
<<lgammaf>>, respectively, but take an additional argument.  This
additional argument is a pointer to an integer.  This additional
argument is used to return the sign of the result, and the global
variable <<signgam>> is not used.  These functions may be used for
reentrant calls (but they will still set the global variable <<errno>>
if an error occurs).
 
RETURNS
Normally, the computed result is returned.
 
When <[x]> is a nonpositive integer, <<gamma>> returns <<HUGE_VAL>>
and <<errno>> is set to <<EDOM>>.  If the result overflows, <<gamma>>
returns <<HUGE_VAL>> and <<errno>> is set to <<ERANGE>>.
 
You can modify this error treatment using <<matherr>>.
 
PORTABILITY
Neither <<gamma>> nor <<gammaf>> is ANSI C.  */
 
/* lgamma_r(x, signgamp)
 * Reentrant version of the logarithm of the Gamma function 
 * with user provide pointer for the sign of Gamma(x). 
 *
 * Method:
 *   1. Argument Reduction for 0 < x <= 8
 * 	Since gamma(1+s)=s*gamma(s), for x in [0,8], we may 
 * 	reduce x to a number in [1.5,2.5] by
 * 		lgamma(1+s) = log(s) + lgamma(s)
 *	for example,
 *		lgamma(7.3) = log(6.3) + lgamma(6.3)
 *			    = log(6.3*5.3) + lgamma(5.3)
 *			    = log(6.3*5.3*4.3*3.3*2.3) + lgamma(2.3)
 *   2. Polynomial approximation of lgamma around its
 *	minimun ymin=1.461632144968362245 to maintain monotonicity.
 *	On [ymin-0.23, ymin+0.27] (i.e., [1.23164,1.73163]), use
 *		Let z = x-ymin;
 *		lgamma(x) = -1.214862905358496078218 + z^2*poly(z)
 *	where
 *		poly(z) is a 14 degree polynomial.
 *   2. Rational approximation in the primary interval [2,3]
 *	We use the following approximation:
 *		s = x-2.0;
 *		lgamma(x) = 0.5*s + s*P(s)/Q(s)
 *	with accuracy
 *		|P/Q - (lgamma(x)-0.5s)| < 2**-61.71
 *	Our algorithms are based on the following observation
 *
 *                             zeta(2)-1    2    zeta(3)-1    3
 * lgamma(2+s) = s*(1-Euler) + --------- * s  -  --------- * s  + ...
 *                                 2                 3
 *
 *	where Euler = 0.5771... is the Euler constant, which is very
 *	close to 0.5.
 *
 *   3. For x>=8, we have
 *	lgamma(x)~(x-0.5)log(x)-x+0.5*log(2pi)+1/(12x)-1/(360x**3)+....
 *	(better formula:
 *	   lgamma(x)~(x-0.5)*(log(x)-1)-.5*(log(2pi)-1) + ...)
 *	Let z = 1/x, then we approximation
 *		f(z) = lgamma(x) - (x-0.5)(log(x)-1)
 *	by
 *	  			    3       5             11
 *		w = w0 + w1*z + w2*z  + w3*z  + ... + w6*z
 *	where 
 *		|w - f(z)| < 2**-58.74
 *		
 *   4. For negative x, since (G is gamma function)
 *		-x*G(-x)*G(x) = pi/sin(pi*x),
 * 	we have
 * 		G(x) = pi/(sin(pi*x)*(-x)*G(-x))
 *	since G(-x) is positive, sign(G(x)) = sign(sin(pi*x)) for x<0
 *	Hence, for x<0, signgam = sign(sin(pi*x)) and 
 *		lgamma(x) = log(|Gamma(x)|)
 *			  = log(pi/(|x*sin(pi*x)|)) - lgamma(-x);
 *	Note: one should avoid compute pi*(-x) directly in the 
 *	      computation of sin(pi*(-x)).
 *		
 *   5. Special Cases
 *		lgamma(2+s) ~ s*(1-Euler) for tiny s
 *		lgamma(1)=lgamma(2)=0
 *		lgamma(x) ~ -log(x) for tiny x
 *		lgamma(0) = lgamma(inf) = inf
 *	 	lgamma(-integer) = +-inf
 *	
 */
 
#include "fdlibm.h"
 
#ifdef __STDC__
static const double 
#else
static double 
#endif
two52=  4.50359962737049600000e+15, /* 0x43300000, 0x00000000 */
half=  5.00000000000000000000e-01, /* 0x3FE00000, 0x00000000 */
one =  1.00000000000000000000e+00, /* 0x3FF00000, 0x00000000 */
pi  =  3.14159265358979311600e+00, /* 0x400921FB, 0x54442D18 */
a0  =  7.72156649015328655494e-02, /* 0x3FB3C467, 0xE37DB0C8 */
a1  =  3.22467033424113591611e-01, /* 0x3FD4A34C, 0xC4A60FAD */
a2  =  6.73523010531292681824e-02, /* 0x3FB13E00, 0x1A5562A7 */
a3  =  2.05808084325167332806e-02, /* 0x3F951322, 0xAC92547B */
a4  =  7.38555086081402883957e-03, /* 0x3F7E404F, 0xB68FEFE8 */
a5  =  2.89051383673415629091e-03, /* 0x3F67ADD8, 0xCCB7926B */
a6  =  1.19270763183362067845e-03, /* 0x3F538A94, 0x116F3F5D */
a7  =  5.10069792153511336608e-04, /* 0x3F40B6C6, 0x89B99C00 */
a8  =  2.20862790713908385557e-04, /* 0x3F2CF2EC, 0xED10E54D */
a9  =  1.08011567247583939954e-04, /* 0x3F1C5088, 0x987DFB07 */
a10 =  2.52144565451257326939e-05, /* 0x3EFA7074, 0x428CFA52 */
a11 =  4.48640949618915160150e-05, /* 0x3F07858E, 0x90A45837 */
tc  =  1.46163214496836224576e+00, /* 0x3FF762D8, 0x6356BE3F */
tf  = -1.21486290535849611461e-01, /* 0xBFBF19B9, 0xBCC38A42 */
/* tt = -(tail of tf) */
tt  = -3.63867699703950536541e-18, /* 0xBC50C7CA, 0xA48A971F */
t0  =  4.83836122723810047042e-01, /* 0x3FDEF72B, 0xC8EE38A2 */
t1  = -1.47587722994593911752e-01, /* 0xBFC2E427, 0x8DC6C509 */
t2  =  6.46249402391333854778e-02, /* 0x3FB08B42, 0x94D5419B */
t3  = -3.27885410759859649565e-02, /* 0xBFA0C9A8, 0xDF35B713 */
t4  =  1.79706750811820387126e-02, /* 0x3F9266E7, 0x970AF9EC */
t5  = -1.03142241298341437450e-02, /* 0xBF851F9F, 0xBA91EC6A */
t6  =  6.10053870246291332635e-03, /* 0x3F78FCE0, 0xE370E344 */
t7  = -3.68452016781138256760e-03, /* 0xBF6E2EFF, 0xB3E914D7 */
t8  =  2.25964780900612472250e-03, /* 0x3F6282D3, 0x2E15C915 */
t9  = -1.40346469989232843813e-03, /* 0xBF56FE8E, 0xBF2D1AF1 */
t10 =  8.81081882437654011382e-04, /* 0x3F4CDF0C, 0xEF61A8E9 */
t11 = -5.38595305356740546715e-04, /* 0xBF41A610, 0x9C73E0EC */
t12 =  3.15632070903625950361e-04, /* 0x3F34AF6D, 0x6C0EBBF7 */
t13 = -3.12754168375120860518e-04, /* 0xBF347F24, 0xECC38C38 */
t14 =  3.35529192635519073543e-04, /* 0x3F35FD3E, 0xE8C2D3F4 */
u0  = -7.72156649015328655494e-02, /* 0xBFB3C467, 0xE37DB0C8 */
u1  =  6.32827064025093366517e-01, /* 0x3FE4401E, 0x8B005DFF */
u2  =  1.45492250137234768737e+00, /* 0x3FF7475C, 0xD119BD6F */
u3  =  9.77717527963372745603e-01, /* 0x3FEF4976, 0x44EA8450 */
u4  =  2.28963728064692451092e-01, /* 0x3FCD4EAE, 0xF6010924 */
u5  =  1.33810918536787660377e-02, /* 0x3F8B678B, 0xBF2BAB09 */
v1  =  2.45597793713041134822e+00, /* 0x4003A5D7, 0xC2BD619C */
v2  =  2.12848976379893395361e+00, /* 0x40010725, 0xA42B18F5 */
v3  =  7.69285150456672783825e-01, /* 0x3FE89DFB, 0xE45050AF */
v4  =  1.04222645593369134254e-01, /* 0x3FBAAE55, 0xD6537C88 */
v5  =  3.21709242282423911810e-03, /* 0x3F6A5ABB, 0x57D0CF61 */
s0  = -7.72156649015328655494e-02, /* 0xBFB3C467, 0xE37DB0C8 */
s1  =  2.14982415960608852501e-01, /* 0x3FCB848B, 0x36E20878 */
s2  =  3.25778796408930981787e-01, /* 0x3FD4D98F, 0x4F139F59 */
s3  =  1.46350472652464452805e-01, /* 0x3FC2BB9C, 0xBEE5F2F7 */
s4  =  2.66422703033638609560e-02, /* 0x3F9B481C, 0x7E939961 */
s5  =  1.84028451407337715652e-03, /* 0x3F5E26B6, 0x7368F239 */
s6  =  3.19475326584100867617e-05, /* 0x3F00BFEC, 0xDD17E945 */
r1  =  1.39200533467621045958e+00, /* 0x3FF645A7, 0x62C4AB74 */
r2  =  7.21935547567138069525e-01, /* 0x3FE71A18, 0x93D3DCDC */
r3  =  1.71933865632803078993e-01, /* 0x3FC601ED, 0xCCFBDF27 */
r4  =  1.86459191715652901344e-02, /* 0x3F9317EA, 0x742ED475 */
r5  =  7.77942496381893596434e-04, /* 0x3F497DDA, 0xCA41A95B */
r6  =  7.32668430744625636189e-06, /* 0x3EDEBAF7, 0xA5B38140 */
w0  =  4.18938533204672725052e-01, /* 0x3FDACFE3, 0x90C97D69 */
w1  =  8.33333333333329678849e-02, /* 0x3FB55555, 0x5555553B */
w2  = -2.77777777728775536470e-03, /* 0xBF66C16C, 0x16B02E5C */
w3  =  7.93650558643019558500e-04, /* 0x3F4A019F, 0x98CF38B6 */
w4  = -5.95187557450339963135e-04, /* 0xBF4380CB, 0x8C0FE741 */
w5  =  8.36339918996282139126e-04, /* 0x3F4B67BA, 0x4CDAD5D1 */
w6  = -1.63092934096575273989e-03; /* 0xBF5AB89D, 0x0B9E43E4 */
 
#ifdef __STDC__
static const double zero=  0.00000000000000000000e+00;
#else
static double zero=  0.00000000000000000000e+00;
#endif
 
#ifdef __STDC__
	static double sin_pi(double x)
#else
	static double sin_pi(x)
	double x;
#endif
{
	double y,z;
	__int32_t n,ix;
 
	GET_HIGH_WORD(ix,x);
	ix &= 0x7fffffff;
 
	if(ix<0x3fd00000) return sin(pi*x);
	y = -x;		/* x is assume negative */
 
    /*
     * argument reduction, make sure inexact flag not raised if input
     * is an integer
     */
	z = floor(y);
	if(z!=y) {				/* inexact anyway */
	    y  *= 0.5;
	    y   = 2.0*(y - floor(y));		/* y = |x| mod 2.0 */
	    n   = (__int32_t) (y*4.0);
	} else {
            if(ix>=0x43400000) {
                y = zero; n = 0;                 /* y must be even */
            } else {
                if(ix<0x43300000) z = y+two52;	/* exact */
		GET_LOW_WORD(n,z);
		n &= 1;
                y  = n;
                n<<= 2;
            }
        }
	switch (n) {
	    case 0:   y =  sin(pi*y); break;
	    case 1:   
	    case 2:   y =  cos(pi*(0.5-y)); break;
	    case 3:  
	    case 4:   y =  sin(pi*(one-y)); break;
	    case 5:
	    case 6:   y = -cos(pi*(y-1.5)); break;
	    default:  y =  sin(pi*(y-2.0)); break;
	    }
	return -y;
}
 
 
#ifdef __STDC__
	double lgamma_r(double x, int *signgamp)
#else
	double lgamma_r(x,signgamp)
	double x; int *signgamp;
#endif
{
	double t,y,z,nadj,p,p1,p2,p3,q,r,w;
	__int32_t i,hx,lx,ix;
 
        nadj = 0;
 
	EXTRACT_WORDS(hx,lx,x);
 
    /* purge off +-inf, NaN, +-0, and negative arguments */
	*signgamp = 1;
	ix = hx&0x7fffffff;
	if(ix>=0x7ff00000) return x*x;
	if((ix|lx)==0) return one/zero;
	if(ix<0x3b900000) {	/* |x|<2**-70, return -log(|x|) */
	    if(hx<0) {
	        *signgamp = -1;
	        return -log(-x);
	    } else return -log(x);
	}
	if(hx<0) {
	    if(ix>=0x43300000) 	/* |x|>=2**52, must be -integer */
		return one/zero;
	    t = sin_pi(x);
	    if(t==zero) return one/zero; /* -integer */
	    nadj = log(pi/fabs(t*x));
	    if(t<zero) *signgamp = -1;
	    x = -x;
	}
 
    /* purge off 1 and 2 */
	if((((ix-0x3ff00000)|lx)==0)||(((ix-0x40000000)|lx)==0)) r = 0;
    /* for x < 2.0 */
	else if(ix<0x40000000) {
	    if(ix<=0x3feccccc) { 	/* lgamma(x) = lgamma(x+1)-log(x) */
		r = -log(x);
		if(ix>=0x3FE76944) {y = one-x; i= 0;}
		else if(ix>=0x3FCDA661) {y= x-(tc-one); i=1;}
	  	else {y = x; i=2;}
	    } else {
	  	r = zero;
	        if(ix>=0x3FFBB4C3) {y=2.0-x;i=0;} /* [1.7316,2] */
	        else if(ix>=0x3FF3B4C4) {y=x-tc;i=1;} /* [1.23,1.73] */
		else {y=x-one;i=2;}
	    }
	    switch(i) {
	      case 0:
		z = y*y;
		p1 = a0+z*(a2+z*(a4+z*(a6+z*(a8+z*a10))));
		p2 = z*(a1+z*(a3+z*(a5+z*(a7+z*(a9+z*a11)))));
		p  = y*p1+p2;
		r  += (p-0.5*y); break;
	      case 1:
		z = y*y;
		w = z*y;
		p1 = t0+w*(t3+w*(t6+w*(t9 +w*t12)));	/* parallel comp */
		p2 = t1+w*(t4+w*(t7+w*(t10+w*t13)));
		p3 = t2+w*(t5+w*(t8+w*(t11+w*t14)));
		p  = z*p1-(tt-w*(p2+y*p3));
		r += (tf + p); break;
	      case 2:	
		p1 = y*(u0+y*(u1+y*(u2+y*(u3+y*(u4+y*u5)))));
		p2 = one+y*(v1+y*(v2+y*(v3+y*(v4+y*v5))));
		r += (-0.5*y + p1/p2);
	    }
	}
	else if(ix<0x40200000) { 			/* x < 8.0 */
	    i = (__int32_t)x;
	    t = zero;
	    y = x-(double)i;
	    p = y*(s0+y*(s1+y*(s2+y*(s3+y*(s4+y*(s5+y*s6))))));
	    q = one+y*(r1+y*(r2+y*(r3+y*(r4+y*(r5+y*r6)))));
	    r = half*y+p/q;
	    z = one;	/* lgamma(1+s) = log(s) + lgamma(s) */
	    switch(i) {
	    case 7: z *= (y+6.0);	/* FALLTHRU */
	    case 6: z *= (y+5.0);	/* FALLTHRU */
	    case 5: z *= (y+4.0);	/* FALLTHRU */
	    case 4: z *= (y+3.0);	/* FALLTHRU */
	    case 3: z *= (y+2.0);	/* FALLTHRU */
		    r += log(z); break;
	    }
    /* 8.0 <= x < 2**58 */
	} else if (ix < 0x43900000) {
	    t = log(x);
	    z = one/x;
	    y = z*z;
	    w = w0+z*(w1+y*(w2+y*(w3+y*(w4+y*(w5+y*w6)))));
	    r = (x-half)*(t-one)+w;
	} else 
    /* 2**58 <= x <= inf */
	    r =  x*(log(x)-one);
	if(hx<0) r = nadj - r;
	return r;
}
 
double
lgamma(double x)
{
  return lgamma_r(x, &(_REENT_SIGNGAM(_REENT)));
}
 

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