\frac{1 - \cos x}{x \cdot x}\begin{array}{l}
\mathbf{if}\;x \le -0.029824101963535701:\\
\;\;\;\;\frac{\frac{{e}^{\left(\log \left(1 - \cos x\right)\right)}}{x}}{x}\\
\mathbf{elif}\;x \le 0.0299197087399348839:\\
\;\;\;\;\mathsf{fma}\left({x}^{4}, \frac{1}{720}, \frac{1}{2} - \frac{1}{24} \cdot {x}^{2}\right)\\
\mathbf{else}:\\
\;\;\;\;\frac{\frac{{e}^{\left(\log \left(\frac{{1}^{3} - {\left(\cos x\right)}^{3}}{\mathsf{fma}\left(\cos x, 1 + \cos x, 1 \cdot 1\right)}\right)\right)}}{x}}{x}\\
\end{array}double code(double x) {
return ((1.0 - cos(x)) / (x * x));
}
double code(double x) {
double VAR;
if ((x <= -0.0298241019635357)) {
VAR = ((pow(((double) M_E), log((1.0 - cos(x)))) / x) / x);
} else {
double VAR_1;
if ((x <= 0.029919708739934884)) {
VAR_1 = fma(pow(x, 4.0), 0.001388888888888889, (0.5 - (0.041666666666666664 * pow(x, 2.0))));
} else {
VAR_1 = ((pow(((double) M_E), log(((pow(1.0, 3.0) - pow(cos(x), 3.0)) / fma(cos(x), (1.0 + cos(x)), (1.0 * 1.0))))) / x) / x);
}
VAR = VAR_1;
}
return VAR;
}



Bits error versus x
Results
if x < -0.0298241019635357Initial program 1.0
rmApplied associate-/r*0.5
rmApplied add-exp-log0.5
rmApplied pow10.5
Applied log-pow0.5
Applied exp-prod0.5
Simplified0.5
if -0.0298241019635357 < x < 0.029919708739934884Initial program 62.2
Taylor expanded around 0 0.0
Simplified0.0
if 0.029919708739934884 < x Initial program 0.8
rmApplied associate-/r*0.5
rmApplied add-exp-log0.5
rmApplied pow10.5
Applied log-pow0.5
Applied exp-prod0.5
Simplified0.5
rmApplied flip3--0.5
Simplified0.5
Final simplification0.3
herbie shell --seed 2020100 +o rules:numerics
(FPCore (x)
:name "cos2 (problem 3.4.1)"
:precision binary64
(/ (- 1 (cos x)) (* x x)))