\cos \left(x + \varepsilon\right) - \cos x
\begin{array}{l}
\mathbf{if}\;\varepsilon \le -1.13315499271887297 \cdot 10^{-10} \lor \neg \left(\varepsilon \le 3.28455979101293219 \cdot 10^{-7}\right):\\
\;\;\;\;\mathsf{log1p}\left(\mathsf{expm1}\left(\cos x \cdot \cos \varepsilon\right)\right) - \mathsf{fma}\left(\sin x, \sin \varepsilon, \cos x\right)\\
\mathbf{else}:\\
\;\;\;\;\varepsilon \cdot \left(\left(\frac{1}{6} \cdot {x}^{3} - x\right) - \varepsilon \cdot \frac{1}{2}\right)\\
\end{array}double code(double x, double eps) {
return (cos((x + eps)) - cos(x));
}
double code(double x, double eps) {
double temp;
if (((eps <= -1.133154992718873e-10) || !(eps <= 3.284559791012932e-07))) {
temp = (log1p(expm1((cos(x) * cos(eps)))) - fma(sin(x), sin(eps), cos(x)));
} else {
temp = (eps * (((0.16666666666666666 * pow(x, 3.0)) - x) - (eps * 0.5)));
}
return temp;
}



Bits error versus x



Bits error versus eps
Results
if eps < -1.133154992718873e-10 or 3.284559791012932e-07 < eps Initial program 30.5
rmApplied cos-sum1.1
Applied associate--l-1.1
Simplified1.1
rmApplied log1p-expm1-u1.2
if -1.133154992718873e-10 < eps < 3.284559791012932e-07Initial program 49.3
Taylor expanded around 0 31.7
Simplified31.7
Final simplification15.8
herbie shell --seed 2020065 +o rules:numerics
(FPCore (x eps)
:name "2cos (problem 3.3.5)"
:precision binary64
(- (cos (+ x eps)) (cos x)))