\frac{1 - \cos x}{\sin x}\begin{array}{l}
\mathbf{if}\;\frac{1 - \cos x}{\sin x} \le -0.0154574244505038347:\\
\;\;\;\;\left(1 - \cos x\right) \cdot \frac{1}{\sin x}\\
\mathbf{elif}\;\frac{1 - \cos x}{\sin x} \le 0.0:\\
\;\;\;\;\mathsf{fma}\left(\frac{1}{24}, {x}^{3}, \mathsf{fma}\left(\frac{1}{240}, {x}^{5}, \frac{1}{2} \cdot x\right)\right)\\
\mathbf{else}:\\
\;\;\;\;\mathsf{log1p}\left(\mathsf{expm1}\left(\frac{1 - \cos x}{\sin x}\right)\right)\\
\end{array}double code(double x) {
return ((1.0 - cos(x)) / sin(x));
}
double code(double x) {
double VAR;
if ((((1.0 - cos(x)) / sin(x)) <= -0.015457424450503835)) {
VAR = ((1.0 - cos(x)) * (1.0 / sin(x)));
} else {
double VAR_1;
if ((((1.0 - cos(x)) / sin(x)) <= 0.0)) {
VAR_1 = fma(0.041666666666666664, pow(x, 3.0), fma(0.004166666666666667, pow(x, 5.0), (0.5 * x)));
} else {
VAR_1 = log1p(expm1(((1.0 - cos(x)) / sin(x))));
}
VAR = VAR_1;
}
return VAR;
}




Bits error versus x
Results
| Original | 29.5 |
|---|---|
| Target | 0.0 |
| Herbie | 0.8 |
if (/ (- 1.0 (cos x)) (sin x)) < -0.015457424450503835Initial program 0.8
rmApplied div-inv0.9
if -0.015457424450503835 < (/ (- 1.0 (cos x)) (sin x)) < 0.0Initial program 60.0
Taylor expanded around 0 0.2
Simplified0.2
if 0.0 < (/ (- 1.0 (cos x)) (sin x)) Initial program 1.7
rmApplied log1p-expm1-u1.8
Final simplification0.8
herbie shell --seed 2020102 +o rules:numerics
(FPCore (x)
:name "tanhf (example 3.4)"
:precision binary64
:herbie-expected 2
:herbie-target
(tan (/ x 2))
(/ (- 1 (cos x)) (sin x)))