\cos \left(x + \varepsilon\right) - \cos x
\begin{array}{l}
\mathbf{if}\;\varepsilon \le -4.95115446409742782 \cdot 10^{-9} \lor \neg \left(\varepsilon \le 2.17240038846879428 \cdot 10^{-10}\right):\\
\;\;\;\;\mathsf{fma}\left(\cos x, \cos \varepsilon, -\mathsf{log1p}\left(\mathsf{expm1}\left(\mathsf{fma}\left(\sin x, \sin \varepsilon, \cos x\right)\right)\right)\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 <= -4.951154464097428e-09) || !(eps <= 2.1724003884687943e-10))) {
temp = fma(cos(x), cos(eps), -log1p(expm1(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 < -4.951154464097428e-09 or 2.1724003884687943e-10 < eps Initial program 30.8
rmApplied cos-sum1.4
Applied associate--l-1.4
Simplified1.4
rmApplied fma-neg1.3
rmApplied log1p-expm1-u1.4
if -4.951154464097428e-09 < eps < 2.1724003884687943e-10Initial program 49.2
Taylor expanded around 0 31.8
Simplified31.8
Final simplification15.8
herbie shell --seed 2020060 +o rules:numerics
(FPCore (x eps)
:name "2cos (problem 3.3.5)"
:precision binary64
(- (cos (+ x eps)) (cos x)))