pxfm/hyperbolic/acoshf.rs
1/*
2 * // Copyright (c) Radzivon Bartoshyk 7/2025. All rights reserved.
3 * //
4 * // Redistribution and use in source and binary forms, with or without modification,
5 * // are permitted provided that the following conditions are met:
6 * //
7 * // 1. Redistributions of source code must retain the above copyright notice, this
8 * // list of conditions and the following disclaimer.
9 * //
10 * // 2. Redistributions in binary form must reproduce the above copyright notice,
11 * // this list of conditions and the following disclaimer in the documentation
12 * // and/or other materials provided with the distribution.
13 * //
14 * // 3. Neither the name of the copyright holder nor the names of its
15 * // contributors may be used to endorse or promote products derived from
16 * // this software without specific prior written permission.
17 * //
18 * // THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS"
19 * // AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
20 * // IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE
21 * // DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE
22 * // FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL
23 * // DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR
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27 * // OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
28 */
29use crate::common::f_fmla;
30use crate::hyperbolic::asinhf::log_eval;
31
32/// Hyperbolic arc cosine function
33///
34/// Max ULP 0.5
35#[inline]
36pub fn f_acoshf(x: f32) -> f32 {
37 if x <= 1.0 {
38 if x == 1.0 {
39 return 0.0;
40 }
41 // x < 1.
42 return f32::NAN;
43 }
44
45 if !x.is_finite() {
46 return x;
47 }
48 let x_d = x as f64;
49 // acosh(x) = log(x + sqrt(x^2 - 1))
50 log_eval(x_d + (f_fmla(x_d, x_d, -1.0).sqrt())) as f32
51}
52
53#[cfg(test)]
54mod tests {
55 use super::*;
56
57 #[test]
58 fn test_f_acoshf() {
59 assert_eq!(f_acoshf(2.0), 1.316958);
60 assert!(f_acoshf(0.5).is_nan());
61 }
62}