\left(\frac{1}{x + 1} - \frac{2}{x}\right) + \frac{1}{x - 1}\begin{array}{l}
\mathbf{if}\;x \le -107.94411106005032:\\
\;\;\;\;\mathsf{fma}\left(2, \frac{1}{{x}^{7}}, \mathsf{fma}\left(2, \frac{1}{{x}^{5}}, \frac{2}{{x}^{3}}\right)\right)\\
\mathbf{elif}\;x \le 111.33784045281939:\\
\;\;\;\;\mathsf{fma}\left(\frac{1 \cdot x - \left(x + 1\right) \cdot 2}{\left({x}^{3} + {1}^{3}\right) \cdot x}, x \cdot x + \left(1 \cdot 1 - x \cdot 1\right), \frac{1}{x - 1}\right)\\
\mathbf{else}:\\
\;\;\;\;\mathsf{fma}\left(2, \frac{1}{{x}^{7}}, \mathsf{fma}\left(2, \frac{1}{{x}^{5}}, \frac{\frac{2}{x \cdot x}}{x}\right)\right)\\
\end{array}double code(double x) {
return (((1.0 / (x + 1.0)) - (2.0 / x)) + (1.0 / (x - 1.0)));
}
double code(double x) {
double VAR;
if ((x <= -107.94411106005032)) {
VAR = fma(2.0, (1.0 / pow(x, 7.0)), fma(2.0, (1.0 / pow(x, 5.0)), (2.0 / pow(x, 3.0))));
} else {
double VAR_1;
if ((x <= 111.33784045281939)) {
VAR_1 = fma((((1.0 * x) - ((x + 1.0) * 2.0)) / ((pow(x, 3.0) + pow(1.0, 3.0)) * x)), ((x * x) + ((1.0 * 1.0) - (x * 1.0))), (1.0 / (x - 1.0)));
} else {
VAR_1 = fma(2.0, (1.0 / pow(x, 7.0)), fma(2.0, (1.0 / pow(x, 5.0)), ((2.0 / (x * x)) / x)));
}
VAR = VAR_1;
}
return VAR;
}




Bits error versus x
Results
| Original | 9.7 |
|---|---|
| Target | 0.3 |
| Herbie | 0.2 |
if x < -107.94411106005032Initial program 19.6
Taylor expanded around inf 0.5
Simplified0.5
if -107.94411106005032 < x < 111.33784045281939Initial program 0.0
rmApplied frac-sub0.1
rmApplied flip3-+0.1
Applied associate-*l/0.1
Applied associate-/r/0.1
Applied fma-def0.1
if 111.33784045281939 < x Initial program 18.9
Taylor expanded around inf 0.5
Simplified0.5
rmApplied unpow30.5
Applied associate-/r*0.1
Final simplification0.2
herbie shell --seed 2020103 +o rules:numerics
(FPCore (x)
:name "3frac (problem 3.3.3)"
:precision binary64
:herbie-target
(/ 2 (* x (- (* x x) 1)))
(+ (- (/ 1 (+ x 1)) (/ 2 x)) (/ 1 (- x 1))))