\frac{x}{x + 1} - \frac{x + 1}{x - 1}\begin{array}{l}
\mathbf{if}\;x \le -0.9868159492179903180542055451951455324888 \lor \neg \left(x \le 0.9975580681503711799607003740675281733274\right):\\
\;\;\;\;-\left(\left(\frac{1}{x \cdot x} + \frac{3}{x}\right) + \frac{3}{{x}^{3}}\right)\\
\mathbf{else}:\\
\;\;\;\;\mathsf{fma}\left(1, x \cdot x, \mathsf{fma}\left(3, x, 1\right)\right)\\
\end{array}double f(double x) {
double r126768 = x;
double r126769 = 1.0;
double r126770 = r126768 + r126769;
double r126771 = r126768 / r126770;
double r126772 = r126768 - r126769;
double r126773 = r126770 / r126772;
double r126774 = r126771 - r126773;
return r126774;
}
double f(double x) {
double r126775 = x;
double r126776 = -0.9868159492179903;
bool r126777 = r126775 <= r126776;
double r126778 = 0.9975580681503712;
bool r126779 = r126775 <= r126778;
double r126780 = !r126779;
bool r126781 = r126777 || r126780;
double r126782 = 1.0;
double r126783 = r126775 * r126775;
double r126784 = r126782 / r126783;
double r126785 = 3.0;
double r126786 = r126785 / r126775;
double r126787 = r126784 + r126786;
double r126788 = 3.0;
double r126789 = pow(r126775, r126788);
double r126790 = r126785 / r126789;
double r126791 = r126787 + r126790;
double r126792 = -r126791;
double r126793 = fma(r126785, r126775, r126782);
double r126794 = fma(r126782, r126783, r126793);
double r126795 = r126781 ? r126792 : r126794;
return r126795;
}



Bits error versus x
if x < -0.9868159492179903 or 0.9975580681503712 < x Initial program 58.6
Taylor expanded around inf 0.7
Simplified0.4
if -0.9868159492179903 < x < 0.9975580681503712Initial program 0.0
Taylor expanded around 0 0.5
Simplified0.5
Final simplification0.5
herbie shell --seed 2019351 +o rules:numerics
(FPCore (x)
:name "Asymptote C"
:precision binary64
(- (/ x (+ x 1)) (/ (+ x 1) (- x 1))))