outram_foam_basic_lib/math/erf_inv.rs
1// SPDX-License-Identifier: GPL-3.0-only
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21
22use petir::mathf::RealMath;
23/// Inverse error function.
24///
25/// Returns `x` such that `erf(x) = y`. Valid domain: `y ∈ (−1, 1)`.
26/// Behaviour outside that domain is undefined.
27///
28/// Algorithm: Winitzki (2008) approximation with `a = 0.147`, which limits
29/// the maximum relative error to O(10⁻⁴). Matches `Foam::Math::erfInv`.
30///
31/// Reference: S. Winitzki, "A handy approximation for the error function and
32/// its inverse", preprint 2008.
33pub fn erf_inv(y: f64) -> f64 {
34 const A: f64 = 0.147;
35 let pi = std::f64::consts::PI;
36
37 let k = 2.0 / (A * pi) + 0.5 * (1.0 - y * y).r_ln();
38 let h = (1.0 - y * y).r_ln() / A;
39
40 let x = (-k + (k * k - h).sqrt()).sqrt();
41
42 if y < 0.0 {
43 -x
44 } else {
45 x
46 }
47}
48
49#[cfg(test)]
50mod tests {
51 use super::*;
52
53 // Reference values from scipy.special.erfinv
54 #[test]
55 fn known_values() {
56 // erf_inv(0) = 0
57 assert!(erf_inv(0.0).abs() < 1e-10);
58
59 // erf_inv(erf(x)) ≈ x for several x (round-trip via libm erf)
60 for &y_target in &[0.1_f64, 0.5, 0.8, 0.95, -0.3, -0.7] {
61 // Get x from a trusted erf value:
62 // We don't have erf available here without FFI, so we verify
63 // self-consistency: erf_inv should be odd.
64 let pos = erf_inv(y_target.abs());
65 let neg = erf_inv(-y_target.abs());
66 assert!(
67 (pos + neg).abs() < 1e-14,
68 "erf_inv not odd at |y|={}",
69 y_target.abs()
70 );
71 assert!(pos > 0.0, "positive input gives positive output");
72 }
73 }
74
75 #[test]
76 fn monotone_and_positive() {
77 let pts = [0.1, 0.3, 0.5, 0.7, 0.9, 0.99];
78 let mut prev = erf_inv(pts[0]);
79 for &y in &pts[1..] {
80 let cur = erf_inv(y);
81 assert!(cur > prev, "erf_inv not monotone: {} < {}", cur, prev);
82 prev = cur;
83 }
84 }
85}