| // Copyright 2017 The Go Authors. All rights reserved. | 
 | // Use of this source code is governed by a BSD-style | 
 | // license that can be found in the LICENSE file. | 
 |  | 
 | package math | 
 |  | 
 | /* | 
 | 	Inverse of the floating-point error function. | 
 | */ | 
 |  | 
 | // This implementation is based on the rational approximation | 
 | // of percentage points of normal distribution available from | 
 | // http://www.jstor.org/stable/2347330. | 
 |  | 
 | const ( | 
 | 	// Coefficients for approximation to erf in |x| <= 0.85 | 
 | 	a0 = 1.1975323115670912564578e0 | 
 | 	a1 = 4.7072688112383978012285e1 | 
 | 	a2 = 6.9706266534389598238465e2 | 
 | 	a3 = 4.8548868893843886794648e3 | 
 | 	a4 = 1.6235862515167575384252e4 | 
 | 	a5 = 2.3782041382114385731252e4 | 
 | 	a6 = 1.1819493347062294404278e4 | 
 | 	a7 = 8.8709406962545514830200e2 | 
 | 	b0 = 1.0000000000000000000e0 | 
 | 	b1 = 4.2313330701600911252e1 | 
 | 	b2 = 6.8718700749205790830e2 | 
 | 	b3 = 5.3941960214247511077e3 | 
 | 	b4 = 2.1213794301586595867e4 | 
 | 	b5 = 3.9307895800092710610e4 | 
 | 	b6 = 2.8729085735721942674e4 | 
 | 	b7 = 5.2264952788528545610e3 | 
 | 	// Coefficients for approximation to erf in 0.85 < |x| <= 1-2*exp(-25) | 
 | 	c0 = 1.42343711074968357734e0 | 
 | 	c1 = 4.63033784615654529590e0 | 
 | 	c2 = 5.76949722146069140550e0 | 
 | 	c3 = 3.64784832476320460504e0 | 
 | 	c4 = 1.27045825245236838258e0 | 
 | 	c5 = 2.41780725177450611770e-1 | 
 | 	c6 = 2.27238449892691845833e-2 | 
 | 	c7 = 7.74545014278341407640e-4 | 
 | 	d0 = 1.4142135623730950488016887e0 | 
 | 	d1 = 2.9036514445419946173133295e0 | 
 | 	d2 = 2.3707661626024532365971225e0 | 
 | 	d3 = 9.7547832001787427186894837e-1 | 
 | 	d4 = 2.0945065210512749128288442e-1 | 
 | 	d5 = 2.1494160384252876777097297e-2 | 
 | 	d6 = 7.7441459065157709165577218e-4 | 
 | 	d7 = 1.4859850019840355905497876e-9 | 
 | 	// Coefficients for approximation to erf in 1-2*exp(-25) < |x| < 1 | 
 | 	e0 = 6.65790464350110377720e0 | 
 | 	e1 = 5.46378491116411436990e0 | 
 | 	e2 = 1.78482653991729133580e0 | 
 | 	e3 = 2.96560571828504891230e-1 | 
 | 	e4 = 2.65321895265761230930e-2 | 
 | 	e5 = 1.24266094738807843860e-3 | 
 | 	e6 = 2.71155556874348757815e-5 | 
 | 	e7 = 2.01033439929228813265e-7 | 
 | 	f0 = 1.414213562373095048801689e0 | 
 | 	f1 = 8.482908416595164588112026e-1 | 
 | 	f2 = 1.936480946950659106176712e-1 | 
 | 	f3 = 2.103693768272068968719679e-2 | 
 | 	f4 = 1.112800997078859844711555e-3 | 
 | 	f5 = 2.611088405080593625138020e-5 | 
 | 	f6 = 2.010321207683943062279931e-7 | 
 | 	f7 = 2.891024605872965461538222e-15 | 
 | ) | 
 |  | 
 | // Erfinv returns the inverse error function of x. | 
 | // | 
 | // Special cases are: | 
 | //	Erfinv(1) = +Inf | 
 | //	Erfinv(-1) = -Inf | 
 | //	Erfinv(x) = NaN if x < -1 or x > 1 | 
 | //	Erfinv(NaN) = NaN | 
 | func Erfinv(x float64) float64 { | 
 | 	// special cases | 
 | 	if IsNaN(x) || x <= -1 || x >= 1 { | 
 | 		if x == -1 || x == 1 { | 
 | 			return Inf(int(x)) | 
 | 		} | 
 | 		return NaN() | 
 | 	} | 
 |  | 
 | 	sign := false | 
 | 	if x < 0 { | 
 | 		x = -x | 
 | 		sign = true | 
 | 	} | 
 |  | 
 | 	var ans float64 | 
 | 	if x <= 0.85 { // |x| <= 0.85 | 
 | 		r := 0.180625 - 0.25*x*x | 
 | 		z1 := ((((((a7*r+a6)*r+a5)*r+a4)*r+a3)*r+a2)*r+a1)*r + a0 | 
 | 		z2 := ((((((b7*r+b6)*r+b5)*r+b4)*r+b3)*r+b2)*r+b1)*r + b0 | 
 | 		ans = (x * z1) / z2 | 
 | 	} else { | 
 | 		var z1, z2 float64 | 
 | 		r := Sqrt(Ln2 - Log(1.0-x)) | 
 | 		if r <= 5.0 { | 
 | 			r -= 1.6 | 
 | 			z1 = ((((((c7*r+c6)*r+c5)*r+c4)*r+c3)*r+c2)*r+c1)*r + c0 | 
 | 			z2 = ((((((d7*r+d6)*r+d5)*r+d4)*r+d3)*r+d2)*r+d1)*r + d0 | 
 | 		} else { | 
 | 			r -= 5.0 | 
 | 			z1 = ((((((e7*r+e6)*r+e5)*r+e4)*r+e3)*r+e2)*r+e1)*r + e0 | 
 | 			z2 = ((((((f7*r+f6)*r+f5)*r+f4)*r+f3)*r+f2)*r+f1)*r + f0 | 
 | 		} | 
 | 		ans = z1 / z2 | 
 | 	} | 
 |  | 
 | 	if sign { | 
 | 		return -ans | 
 | 	} | 
 | 	return ans | 
 | } | 
 |  | 
 | // Erfcinv returns the inverse of Erfc(x). | 
 | // | 
 | // Special cases are: | 
 | //	Erfcinv(0) = +Inf | 
 | //	Erfcinv(2) = -Inf | 
 | //	Erfcinv(x) = NaN if x < 0 or x > 2 | 
 | //	Erfcinv(NaN) = NaN | 
 | func Erfcinv(x float64) float64 { | 
 | 	return Erfinv(1 - x) | 
 | } |