IKVM11  11
Java SE 11 Virtual Machine for .NET
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k_tan.cs
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1/*
2 * Copyright (c) 1998, 2004, Oracle and/or its affiliates. All rights reserved.
3 * DO NOT ALTER OR REMOVE COPYRIGHT NOTICES OR THIS FILE HEADER.
4 *
5 * This code is free software; you can redistribute it and/or modify it
6 * under the terms of the GNU General Public License version 2 only, as
7 * published by the Free Software Foundation. Oracle designates this
8 * particular file as subject to the "Classpath" exception as provided
9 * by Oracle in the LICENSE file that accompanied this code.
10 *
11 * This code is distributed in the hope that it will be useful, but WITHOUT
12 * ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or
13 * FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License
14 * version 2 for more details (a copy is included in the LICENSE file that
15 * accompanied this code).
16 *
17 * You should have received a copy of the GNU General Public License version
18 * 2 along with this work; if not, write to the Free Software Foundation,
19 * Inc., 51 Franklin St, Fifth Floor, Boston, MA 02110-1301 USA.
20 *
21 * Please contact Oracle, 500 Oracle Parkway, Redwood Shores, CA 94065 USA
22 * or visit www.oracle.com if you need additional information or have any
23 * questions.
24 */
25
26/* __kernel_tan( x, y, k )
27 * kernel tan function on [-pi/4, pi/4], pi/4 ~ 0.7854
28 * Input x is assumed to be bounded by ~pi/4 in magnitude.
29 * Input y is the tail of x.
30 * Input k indicates whether tan (if k=1) or
31 * -1/tan (if k= -1) is returned.
32 *
33 * Algorithm
34 * 1. Since tan(-x) = -tan(x), we need only to consider positive x.
35 * 2. if x < 2^-28 (hx<0x3e300000 0), return x with inexact if x!=0.
36 * 3. tan(x) is approximated by a odd polynomial of degree 27 on
37 * [0,0.67434]
38 * 3 27
39 * tan(x) ~ x + T1*x + ... + T13*x
40 * where
41 *
42 * |tan(x) 2 4 26 | -59.2
43 * |----- - (1+T1*x +T2*x +.... +T13*x )| <= 2
44 * | x |
45 *
46 * Note: tan(x+y) = tan(x) + tan'(x)*y
47 * ~ tan(x) + (1+x*x)*y
48 * Therefore, for better accuracy in computing tan(x+y), let
49 * 3 2 2 2 2
50 * r = x *(T2+x *(T3+x *(...+x *(T12+x *T13))))
51 * then
52 * 3 2
53 * tan(x+y) = x + (T1*x + (x *(r+y)+y))
54 *
55 * 4. For x in [0.67434,pi/4], let y = pi/4 - x, then
56 * tan(x) = tan(pi/4-y) = (1-tan(y))/(1+tan(y))
57 * = 1 - 2*(tan(y) - (tan(y)^2)/(1+tan(y)))
58 */
59
61{
62 static partial class fdlibm
63 {
64 static double __kernel_tan(double x, double y, int iy)
65 {
66 const double
67 one = 1.00000000000000000000e+00, /* 0x3FF00000, 0x00000000 */
68 pio4 = 7.85398163397448278999e-01, /* 0x3FE921FB, 0x54442D18 */
69 pio4lo = 3.06161699786838301793e-17, /* 0x3C81A626, 0x33145C07 */
70 T_0_ =
71 3.33333333333334091986e-01, /* 0x3FD55555, 0x55555563 */
72 T_1_ =
73 1.33333333333201242699e-01, /* 0x3FC11111, 0x1110FE7A */
74 T_2_ =
75 5.39682539762260521377e-02, /* 0x3FABA1BA, 0x1BB341FE */
76 T_3_ =
77 2.18694882948595424599e-02, /* 0x3F9664F4, 0x8406D637 */
78 T_4_ =
79 8.86323982359930005737e-03, /* 0x3F8226E3, 0xE96E8493 */
80 T_5_ =
81 3.59207910759131235356e-03, /* 0x3F6D6D22, 0xC9560328 */
82 T_6_ =
83 1.45620945432529025516e-03, /* 0x3F57DBC8, 0xFEE08315 */
84 T_7_ =
85 5.88041240820264096874e-04, /* 0x3F4344D8, 0xF2F26501 */
86 T_8_ =
87 2.46463134818469906812e-04, /* 0x3F3026F7, 0x1A8D1068 */
88 T_9_ =
89 7.81794442939557092300e-05, /* 0x3F147E88, 0xA03792A6 */
90 T_10_ =
91 7.14072491382608190305e-05, /* 0x3F12B80F, 0x32F0A7E9 */
92 T_11_ =
93 -1.85586374855275456654e-05, /* 0xBEF375CB, 0xDB605373 */
94 T_12_ =
95 2.59073051863633712884e-05; /* 0x3EFB2A70, 0x74BF7AD4 */
96
97 double z, r, v, w, s;
98 int ix, hx;
99 hx = __HI(x); /* high word of x */
100 ix = hx & 0x7fffffff; /* high word of |x| */
101 if (ix < 0x3e300000)
102 { /* x < 2**-28 */
103 if ((int)x == 0)
104 { /* generate inexact */
105 if (((ix | __LO(x)) | (iy + 1)) == 0)
106 return one / fabs(x);
107 else
108 {
109 if (iy == 1)
110 return x;
111 else
112 { /* compute -1 / (x+y) carefully */
113 double a, t;
114
115 z = w = x + y;
116 z = __LO(z, 0);
117 v = y - (z - x);
118 t = a = -one / w;
119 t = __LO(t, 0);
120 s = one + t * z;
121 return t + a * (s + t * v);
122 }
123 }
124 }
125 }
126 if (ix >= 0x3FE59428)
127 { /* |x|>=0.6744 */
128 if (hx < 0) { x = -x; y = -y; }
129 z = pio4 - x;
130 w = pio4lo - y;
131 x = z + w; y = 0.0;
132 }
133 z = x * x;
134 w = z * z;
135 /* Break x^5*(T[1]+x^2*T[2]+...) into
136 * x^5(T[1]+x^4*T[3]+...+x^20*T[11]) +
137 * x^5(x^2*(T[2]+x^4*T[4]+...+x^22*[T12]))
138 */
139 r = T_1_ + w * (T_3_ + w * (T_5_ + w * (T_7_ + w * (T_9_ + w * T_11_))));
140 v = z * (T_2_ + w * (T_4_ + w * (T_6_ + w * (T_8_ + w * (T_10_ + w * T_12_)))));
141 s = z * x;
142 r = y + z * (s * (r + v) + y);
143 r += T_0_ * s;
144 w = x + r;
145 if (ix >= 0x3FE59428)
146 {
147 v = (double)iy;
148 return (double)(1 - ((hx >> 30) & 2)) * (v - 2.0 * (x - (w * w / (w + v) - r)));
149 }
150 if (iy == 1) return w;
151 else
152 { /* if allow error up to 2 ulp,
153 simply return -1.0/(x+r) here */
154 /* compute -1.0/(x+r) accurately */
155 double a, t;
156 z = w;
157 z = __LO(z, 0);
158 v = r - (z - x); /* z+v = r+x */
159 t = a = -1.0 / w; /* a = -1.0/w */
160 t = __LO(t, 0);
161 s = 1.0 + t * z;
162 return t + a * (s + t * v);
163 }
164 }
165 }
166}