1 // Copyright 2017 The Go Authors. All rights reserved.
2 // Use of this source code is governed by a BSD-style
3 // license that can be found in the LICENSE file.
8 Inverse of the floating-point error function.
11 // This implementation is based on the rational approximation
12 // of percentage points of normal distribution available from
13 // http://www.jstor.org/stable/2347330.
16 // Coefficients for approximation to erf in |x| <= 0.85
17 a0
= 1.1975323115670912564578e0
18 a1
= 4.7072688112383978012285e1
19 a2
= 6.9706266534389598238465e2
20 a3
= 4.8548868893843886794648e3
21 a4
= 1.6235862515167575384252e4
22 a5
= 2.3782041382114385731252e4
23 a6
= 1.1819493347062294404278e4
24 a7
= 8.8709406962545514830200e2
25 b0
= 1.0000000000000000000e0
26 b1
= 4.2313330701600911252e1
27 b2
= 6.8718700749205790830e2
28 b3
= 5.3941960214247511077e3
29 b4
= 2.1213794301586595867e4
30 b5
= 3.9307895800092710610e4
31 b6
= 2.8729085735721942674e4
32 b7
= 5.2264952788528545610e3
33 // Coefficients for approximation to erf in 0.85 < |x| <= 1-2*exp(-25)
34 c0
= 1.42343711074968357734e0
35 c1
= 4.63033784615654529590e0
36 c2
= 5.76949722146069140550e0
37 c3
= 3.64784832476320460504e0
38 c4
= 1.27045825245236838258e0
39 c5
= 2.41780725177450611770e-1
40 c6
= 2.27238449892691845833e-2
41 c7
= 7.74545014278341407640e-4
42 d0
= 1.4142135623730950488016887e0
43 d1
= 2.9036514445419946173133295e0
44 d2
= 2.3707661626024532365971225e0
45 d3
= 9.7547832001787427186894837e-1
46 d4
= 2.0945065210512749128288442e-1
47 d5
= 2.1494160384252876777097297e-2
48 d6
= 7.7441459065157709165577218e-4
49 d7
= 1.4859850019840355905497876e-9
50 // Coefficients for approximation to erf in 1-2*exp(-25) < |x| < 1
51 e0
= 6.65790464350110377720e0
52 e1
= 5.46378491116411436990e0
53 e2
= 1.78482653991729133580e0
54 e3
= 2.96560571828504891230e-1
55 e4
= 2.65321895265761230930e-2
56 e5
= 1.24266094738807843860e-3
57 e6
= 2.71155556874348757815e-5
58 e7
= 2.01033439929228813265e-7
59 f0
= 1.414213562373095048801689e0
60 f1
= 8.482908416595164588112026e-1
61 f2
= 1.936480946950659106176712e-1
62 f3
= 2.103693768272068968719679e-2
63 f4
= 1.112800997078859844711555e-3
64 f5
= 2.611088405080593625138020e-5
65 f6
= 2.010321207683943062279931e-7
66 f7
= 2.891024605872965461538222e-15
69 // Erfinv returns the inverse error function of x.
74 // Erfinv(x) = NaN if x < -1 or x > 1
76 func Erfinv(x
float64) float64 {
78 if IsNaN(x
) || x
<= -1 || x
>= 1 {
79 if x
== -1 || x
== 1 {
92 if x
<= 0.85 { // |x| <= 0.85
93 r
:= 0.180625 - 0.25*x
*x
94 z1
:= ((((((a7
*r
+a6
)*r
+a5
)*r
+a4
)*r
+a3
)*r
+a2
)*r
+a1
)*r
+ a0
95 z2
:= ((((((b7
*r
+b6
)*r
+b5
)*r
+b4
)*r
+b3
)*r
+b2
)*r
+b1
)*r
+ b0
99 r
:= Sqrt(Ln2
- Log(1.0-x
))
102 z1
= ((((((c7
*r
+c6
)*r
+c5
)*r
+c4
)*r
+c3
)*r
+c2
)*r
+c1
)*r
+ c0
103 z2
= ((((((d7
*r
+d6
)*r
+d5
)*r
+d4
)*r
+d3
)*r
+d2
)*r
+d1
)*r
+ d0
106 z1
= ((((((e7
*r
+e6
)*r
+e5
)*r
+e4
)*r
+e3
)*r
+e2
)*r
+e1
)*r
+ e0
107 z2
= ((((((f7
*r
+f6
)*r
+f5
)*r
+f4
)*r
+f3
)*r
+f2
)*r
+f1
)*r
+ f0
118 // Erfcinv returns the inverse of Erfc(x).
120 // Special cases are:
123 // Erfcinv(x) = NaN if x < 0 or x > 2
124 // Erfcinv(NaN) = NaN
125 func Erfcinv(x
float64) float64 {