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      1 
      2 /* @(#)e_log.c 1.3 95/01/18 */
      3 /*
      4  * ====================================================
      5  * Copyright (C) 1993 by Sun Microsystems, Inc. All rights reserved.
      6  *
      7  * Developed at SunSoft, a Sun Microsystems, Inc. business.
      8  * Permission to use, copy, modify, and distribute this
      9  * software is freely granted, provided that this notice
     10  * is preserved.
     11  * ====================================================
     12  */
     13 
     14 #include <sys/cdefs.h>
     15 __FBSDID("$FreeBSD$");
     16 
     17 /*
     18  * k_log1p(f):
     19  * Return log(1+f) - f for 1+f in ~[sqrt(2)/2, sqrt(2)].
     20  *
     21  * The following describes the overall strategy for computing
     22  * logarithms in base e.  The argument reduction and adding the final
     23  * term of the polynomial are done by the caller for increased accuracy
     24  * when different bases are used.
     25  *
     26  * Method :
     27  *   1. Argument Reduction: find k and f such that
     28  *			x = 2^k * (1+f),
     29  *	   where  sqrt(2)/2 < 1+f < sqrt(2) .
     30  *
     31  *   2. Approximation of log(1+f).
     32  *	Let s = f/(2+f) ; based on log(1+f) = log(1+s) - log(1-s)
     33  *		 = 2s + 2/3 s**3 + 2/5 s**5 + .....,
     34  *	     	 = 2s + s*R
     35  *      We use a special Reme algorithm on [0,0.1716] to generate
     36  * 	a polynomial of degree 14 to approximate R The maximum error
     37  *	of this polynomial approximation is bounded by 2**-58.45. In
     38  *	other words,
     39  *		        2      4      6      8      10      12      14
     40  *	    R(z) ~ Lg1*s +Lg2*s +Lg3*s +Lg4*s +Lg5*s  +Lg6*s  +Lg7*s
     41  *  	(the values of Lg1 to Lg7 are listed in the program)
     42  *	and
     43  *	    |      2          14          |     -58.45
     44  *	    | Lg1*s +...+Lg7*s    -  R(z) | <= 2
     45  *	    |                             |
     46  *	Note that 2s = f - s*f = f - hfsq + s*hfsq, where hfsq = f*f/2.
     47  *	In order to guarantee error in log below 1ulp, we compute log
     48  *	by
     49  *		log(1+f) = f - s*(f - R)	(if f is not too large)
     50  *		log(1+f) = f - (hfsq - s*(hfsq+R)).	(better accuracy)
     51  *
     52  *	3. Finally,  log(x) = k*ln2 + log(1+f).
     53  *			    = k*ln2_hi+(f-(hfsq-(s*(hfsq+R)+k*ln2_lo)))
     54  *	   Here ln2 is split into two floating point number:
     55  *			ln2_hi + ln2_lo,
     56  *	   where n*ln2_hi is always exact for |n| < 2000.
     57  *
     58  * Special cases:
     59  *	log(x) is NaN with signal if x < 0 (including -INF) ;
     60  *	log(+INF) is +INF; log(0) is -INF with signal;
     61  *	log(NaN) is that NaN with no signal.
     62  *
     63  * Accuracy:
     64  *	according to an error analysis, the error is always less than
     65  *	1 ulp (unit in the last place).
     66  *
     67  * Constants:
     68  * The hexadecimal values are the intended ones for the following
     69  * constants. The decimal values may be used, provided that the
     70  * compiler will convert from decimal to binary accurately enough
     71  * to produce the hexadecimal values shown.
     72  */
     73 
     74 static const double
     75 Lg1 = 6.666666666666735130e-01,  /* 3FE55555 55555593 */
     76 Lg2 = 3.999999999940941908e-01,  /* 3FD99999 9997FA04 */
     77 Lg3 = 2.857142874366239149e-01,  /* 3FD24924 94229359 */
     78 Lg4 = 2.222219843214978396e-01,  /* 3FCC71C5 1D8E78AF */
     79 Lg5 = 1.818357216161805012e-01,  /* 3FC74664 96CB03DE */
     80 Lg6 = 1.531383769920937332e-01,  /* 3FC39A09 D078C69F */
     81 Lg7 = 1.479819860511658591e-01;  /* 3FC2F112 DF3E5244 */
     82 
     83 /*
     84  * We always inline k_log1p(), since doing so produces a
     85  * substantial performance improvement (~40% on amd64).
     86  */
     87 static inline double
     88 k_log1p(double f)
     89 {
     90 	double hfsq,s,z,R,w,t1,t2;
     91 
     92  	s = f/(2.0+f);
     93 	z = s*s;
     94 	w = z*z;
     95 	t1= w*(Lg2+w*(Lg4+w*Lg6));
     96 	t2= z*(Lg1+w*(Lg3+w*(Lg5+w*Lg7)));
     97 	R = t2+t1;
     98 	hfsq=0.5*f*f;
     99 	return s*(hfsq+R);
    100 }
    101