/*
 *  Mathlib : A C Library of Special Functions
 *  Copyright (C) 1998 Ross Ihaka
 *  Copyright (C) 2000-2001 The R Development Core Team
 *
 *  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., 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA.
 *
 *  SYNOPSIS
 *
 *    #include <Rmath.h>
 *    double lgammacor(double x);
 *
 *  DESCRIPTION
 *
 *    Compute the log gamma correction factor for x >= 10 so that
 *
 *    log(gamma(x)) = .5*log(2*pi) + (x-.5)*log(x) -x + lgammacor(x)
 *
 *    [ lgammacor(x) is called	Del(x)	in other contexts (e.g. dcdflib)]
 *
 *  NOTES
 *
 *    This routine is a translation into C of a Fortran subroutine
 *    written by W. Fullerton of Los Alamos Scientific Laboratory.
 *
 *  SEE ALSO
 *
 *    Loader(1999)'s stirlerr() {in ./stirlerr.c} is *very* similar in spirit,
 *    is faster and cleaner, but is only defined "fast" for half integers.
 */

#include "nmath.h"

double attribute_hidden lgammacor(double x)
{
    const static double algmcs[15] = {
	+.1666389480451863247205729650822e+0,
	-.1384948176067563840732986059135e-4,
	+.9810825646924729426157171547487e-8,
	-.1809129475572494194263306266719e-10,
	+.6221098041892605227126015543416e-13,
	-.3399615005417721944303330599666e-15,
	+.2683181998482698748957538846666e-17,
	-.2868042435334643284144622399999e-19,
	+.3962837061046434803679306666666e-21,
	-.6831888753985766870111999999999e-23,
	+.1429227355942498147573333333333e-24,
	-.3547598158101070547199999999999e-26,
	+.1025680058010470912000000000000e-27,
	-.3401102254316748799999999999999e-29,
	+.1276642195630062933333333333333e-30
    };

    double tmp;

#ifdef NOMORE_FOR_THREADS
    static int nalgm = 0;
    static double xbig = 0, xmax = 0;

    /* Initialize machine dependent constants, the first time gamma() is called.
	FIXME for threads ! */
    if (nalgm == 0) {
	/* For IEEE double precision : nalgm = 5 */
	nalgm = chebyshev_init(algmcs, 15, DBL_EPSILON/2);/*was d1mach(3)*/
	xbig = 1 / sqrt(DBL_EPSILON/2); /* ~ 94906265.6 for IEEE double */
	xmax = exp(fmin2(log(DBL_MAX / 12), -log(12 * DBL_MIN)));
	/*   = DBL_MAX / 48 ~= 3.745e306 for IEEE double */
    }
#else
/* For IEEE double precision DBL_EPSILON = 2^-52 = 2.220446049250313e-16 :
 *   xbig = 2 ^ 26.5
 *   xmax = DBL_MAX / 48 =  2^1020 / 3 */
# define nalgm 5
# define xbig  94906265.62425156
# define xmax  3.745194030963158e306
#endif

    if (x < 10)
	ML_ERR_return_NAN
    else if (x >= xmax) {
	ML_ERROR(ME_UNDERFLOW, "lgammacor");
	return ML_UNDERFLOW;
    }
    else if (x < xbig) {
	tmp = 10 / x;
	return chebyshev_eval(tmp * tmp * 2 - 1, algmcs, nalgm) / x;
    }
    else return 1 / (x * 12);
}