1 | /* log10l.c |
2 | * |
3 | * Common logarithm, 128-bit long double precision |
4 | * |
5 | * |
6 | * |
7 | * SYNOPSIS: |
8 | * |
9 | * long double x, y, log10l(); |
10 | * |
11 | * y = log10l( x ); |
12 | * |
13 | * |
14 | * |
15 | * DESCRIPTION: |
16 | * |
17 | * Returns the base 10 logarithm of x. |
18 | * |
19 | * The argument is separated into its exponent and fractional |
20 | * parts. If the exponent is between -1 and +1, the logarithm |
21 | * of the fraction is approximated by |
22 | * |
23 | * log(1+x) = x - 0.5 x^2 + x^3 P(x)/Q(x). |
24 | * |
25 | * Otherwise, setting z = 2(x-1)/x+1), |
26 | * |
27 | * log(x) = z + z^3 P(z)/Q(z). |
28 | * |
29 | * |
30 | * |
31 | * ACCURACY: |
32 | * |
33 | * Relative error: |
34 | * arithmetic domain # trials peak rms |
35 | * IEEE 0.5, 2.0 30000 2.3e-34 4.9e-35 |
36 | * IEEE exp(+-10000) 30000 1.0e-34 4.1e-35 |
37 | * |
38 | * In the tests over the interval exp(+-10000), the logarithms |
39 | * of the random arguments were uniformly distributed over |
40 | * [-10000, +10000]. |
41 | * |
42 | */ |
43 | |
44 | /* |
45 | Cephes Math Library Release 2.2: January, 1991 |
46 | Copyright 1984, 1991 by Stephen L. Moshier |
47 | Adapted for glibc November, 2001 |
48 | |
49 | This library is free software; you can redistribute it and/or |
50 | modify it under the terms of the GNU Lesser General Public |
51 | License as published by the Free Software Foundation; either |
52 | version 2.1 of the License, or (at your option) any later version. |
53 | |
54 | This library is distributed in the hope that it will be useful, |
55 | but WITHOUT ANY WARRANTY; without even the implied warranty of |
56 | MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU |
57 | Lesser General Public License for more details. |
58 | |
59 | You should have received a copy of the GNU Lesser General Public |
60 | License along with this library; if not, see <https://www.gnu.org/licenses/>. |
61 | */ |
62 | |
63 | #include <math.h> |
64 | #include <math_private.h> |
65 | #include <libm-alias-finite.h> |
66 | |
67 | /* Coefficients for ln(1+x) = x - x**2/2 + x**3 P(x)/Q(x) |
68 | * 1/sqrt(2) <= x < sqrt(2) |
69 | * Theoretical peak relative error = 5.3e-37, |
70 | * relative peak error spread = 2.3e-14 |
71 | */ |
72 | static const _Float128 P[13] = |
73 | { |
74 | L(1.313572404063446165910279910527789794488E4), |
75 | L(7.771154681358524243729929227226708890930E4), |
76 | L(2.014652742082537582487669938141683759923E5), |
77 | L(3.007007295140399532324943111654767187848E5), |
78 | L(2.854829159639697837788887080758954924001E5), |
79 | L(1.797628303815655343403735250238293741397E5), |
80 | L(7.594356839258970405033155585486712125861E4), |
81 | L(2.128857716871515081352991964243375186031E4), |
82 | L(3.824952356185897735160588078446136783779E3), |
83 | L(4.114517881637811823002128927449878962058E2), |
84 | L(2.321125933898420063925789532045674660756E1), |
85 | L(4.998469661968096229986658302195402690910E-1), |
86 | L(1.538612243596254322971797716843006400388E-6) |
87 | }; |
88 | static const _Float128 Q[12] = |
89 | { |
90 | L(3.940717212190338497730839731583397586124E4), |
91 | L(2.626900195321832660448791748036714883242E5), |
92 | L(7.777690340007566932935753241556479363645E5), |
93 | L(1.347518538384329112529391120390701166528E6), |
94 | L(1.514882452993549494932585972882995548426E6), |
95 | L(1.158019977462989115839826904108208787040E6), |
96 | L(6.132189329546557743179177159925690841200E5), |
97 | L(2.248234257620569139969141618556349415120E5), |
98 | L(5.605842085972455027590989944010492125825E4), |
99 | L(9.147150349299596453976674231612674085381E3), |
100 | L(9.104928120962988414618126155557301584078E2), |
101 | L(4.839208193348159620282142911143429644326E1) |
102 | /* 1.000000000000000000000000000000000000000E0L, */ |
103 | }; |
104 | |
105 | /* Coefficients for log(x) = z + z^3 P(z^2)/Q(z^2), |
106 | * where z = 2(x-1)/(x+1) |
107 | * 1/sqrt(2) <= x < sqrt(2) |
108 | * Theoretical peak relative error = 1.1e-35, |
109 | * relative peak error spread 1.1e-9 |
110 | */ |
111 | static const _Float128 R[6] = |
112 | { |
113 | L(1.418134209872192732479751274970992665513E5), |
114 | L(-8.977257995689735303686582344659576526998E4), |
115 | L(2.048819892795278657810231591630928516206E4), |
116 | L(-2.024301798136027039250415126250455056397E3), |
117 | L(8.057002716646055371965756206836056074715E1), |
118 | L(-8.828896441624934385266096344596648080902E-1) |
119 | }; |
120 | static const _Float128 S[6] = |
121 | { |
122 | L(1.701761051846631278975701529965589676574E6), |
123 | L(-1.332535117259762928288745111081235577029E6), |
124 | L(4.001557694070773974936904547424676279307E5), |
125 | L(-5.748542087379434595104154610899551484314E4), |
126 | L(3.998526750980007367835804959888064681098E3), |
127 | L(-1.186359407982897997337150403816839480438E2) |
128 | /* 1.000000000000000000000000000000000000000E0L, */ |
129 | }; |
130 | |
131 | static const _Float128 |
132 | /* log10(2) */ |
133 | L102A = L(0.3125), |
134 | L102B = L(-1.14700043360188047862611052755069732318101185E-2), |
135 | /* log10(e) */ |
136 | L10EA = L(0.5), |
137 | L10EB = L(-6.570551809674817234887108108339491770560299E-2), |
138 | /* sqrt(2)/2 */ |
139 | SQRTH = L(7.071067811865475244008443621048490392848359E-1); |
140 | |
141 | |
142 | |
143 | /* Evaluate P[n] x^n + P[n-1] x^(n-1) + ... + P[0] */ |
144 | |
145 | static _Float128 |
146 | neval (_Float128 x, const _Float128 *p, int n) |
147 | { |
148 | _Float128 y; |
149 | |
150 | p += n; |
151 | y = *p--; |
152 | do |
153 | { |
154 | y = y * x + *p--; |
155 | } |
156 | while (--n > 0); |
157 | return y; |
158 | } |
159 | |
160 | |
161 | /* Evaluate x^n+1 + P[n] x^(n) + P[n-1] x^(n-1) + ... + P[0] */ |
162 | |
163 | static _Float128 |
164 | deval (_Float128 x, const _Float128 *p, int n) |
165 | { |
166 | _Float128 y; |
167 | |
168 | p += n; |
169 | y = x + *p--; |
170 | do |
171 | { |
172 | y = y * x + *p--; |
173 | } |
174 | while (--n > 0); |
175 | return y; |
176 | } |
177 | |
178 | |
179 | |
180 | _Float128 |
181 | __ieee754_log10l (_Float128 x) |
182 | { |
183 | _Float128 z; |
184 | _Float128 y; |
185 | int e; |
186 | int64_t hx, lx; |
187 | |
188 | /* Test for domain */ |
189 | GET_LDOUBLE_WORDS64 (hx, lx, x); |
190 | if (((hx & 0x7fffffffffffffffLL) | lx) == 0) |
191 | return (-1 / fabsl (x)); /* log10l(+-0)=-inf */ |
192 | if (hx < 0) |
193 | return (x - x) / (x - x); |
194 | if (hx >= 0x7fff000000000000LL) |
195 | return (x + x); |
196 | |
197 | if (x == 1) |
198 | return 0; |
199 | |
200 | /* separate mantissa from exponent */ |
201 | |
202 | /* Note, frexp is used so that denormal numbers |
203 | * will be handled properly. |
204 | */ |
205 | x = __frexpl (x, &e); |
206 | |
207 | |
208 | /* logarithm using log(x) = z + z**3 P(z)/Q(z), |
209 | * where z = 2(x-1)/x+1) |
210 | */ |
211 | if ((e > 2) || (e < -2)) |
212 | { |
213 | if (x < SQRTH) |
214 | { /* 2( 2x-1 )/( 2x+1 ) */ |
215 | e -= 1; |
216 | z = x - L(0.5); |
217 | y = L(0.5) * z + L(0.5); |
218 | } |
219 | else |
220 | { /* 2 (x-1)/(x+1) */ |
221 | z = x - L(0.5); |
222 | z -= L(0.5); |
223 | y = L(0.5) * x + L(0.5); |
224 | } |
225 | x = z / y; |
226 | z = x * x; |
227 | y = x * (z * neval (z, R, 5) / deval (z, S, 5)); |
228 | goto done; |
229 | } |
230 | |
231 | |
232 | /* logarithm using log(1+x) = x - .5x**2 + x**3 P(x)/Q(x) */ |
233 | |
234 | if (x < SQRTH) |
235 | { |
236 | e -= 1; |
237 | x = 2.0 * x - 1; /* 2x - 1 */ |
238 | } |
239 | else |
240 | { |
241 | x = x - 1; |
242 | } |
243 | z = x * x; |
244 | y = x * (z * neval (x, P, 12) / deval (x, Q, 11)); |
245 | y = y - 0.5 * z; |
246 | |
247 | done: |
248 | |
249 | /* Multiply log of fraction by log10(e) |
250 | * and base 2 exponent by log10(2). |
251 | */ |
252 | z = y * L10EB; |
253 | z += x * L10EB; |
254 | z += e * L102B; |
255 | z += y * L10EA; |
256 | z += x * L10EA; |
257 | z += e * L102A; |
258 | return (z); |
259 | } |
260 | libm_alias_finite (__ieee754_log10l, __log10l) |
261 | |