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k_log.h (3420B)


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