\frac{1}{x} - \frac{1}{\tan x}\mathsf{fma}\left(0.0222222222222222231, {x}^{3}, \mathsf{fma}\left(0.00211640211640211654, {x}^{5}, 0.333333333333333315 \cdot x\right)\right)double code(double x) {
return ((double) (((double) (1.0 / x)) - ((double) (1.0 / ((double) tan(x))))));
}
double code(double x) {
return ((double) fma(0.022222222222222223, ((double) pow(x, 3.0)), ((double) fma(0.0021164021164021165, ((double) pow(x, 5.0)), ((double) (0.3333333333333333 * x))))));
}




Bits error versus x
Results
| Original | 60.0 |
|---|---|
| Target | 0.1 |
| Herbie | 0.3 |
Initial program 60.0
Taylor expanded around 0 0.3
Simplified0.3
Final simplification0.3
herbie shell --seed 2020114 +o rules:numerics
(FPCore (x)
:name "invcot (example 3.9)"
:precision binary64
:pre (and (< -0.026 x) (< x 0.026))
:herbie-target
(if (< (fabs x) 0.026) (* (/ x 3) (+ 1 (/ (* x x) 15))) (- (/ 1 x) (/ 1 (tan x))))
(- (/ 1 x) (/ 1 (tan x))))