\left(J \cdot \left(e^{\ell} - e^{-\ell}\right)\right) \cdot \cos \left(\frac{K}{2}\right) + U\mathsf{fma}\left(\cos \left(\frac{K}{2}\right) \cdot J, \mathsf{fma}\left({\ell}^{5}, \frac{1}{60}, \mathsf{fma}\left(\frac{1}{3}, {\ell}^{3}, \ell + \ell\right)\right), U\right)double f(double J, double l, double K, double U) {
double r86868 = J;
double r86869 = l;
double r86870 = exp(r86869);
double r86871 = -r86869;
double r86872 = exp(r86871);
double r86873 = r86870 - r86872;
double r86874 = r86868 * r86873;
double r86875 = K;
double r86876 = 2.0;
double r86877 = r86875 / r86876;
double r86878 = cos(r86877);
double r86879 = r86874 * r86878;
double r86880 = U;
double r86881 = r86879 + r86880;
return r86881;
}
double f(double J, double l, double K, double U) {
double r86882 = K;
double r86883 = 2.0;
double r86884 = r86882 / r86883;
double r86885 = cos(r86884);
double r86886 = J;
double r86887 = r86885 * r86886;
double r86888 = l;
double r86889 = 5.0;
double r86890 = pow(r86888, r86889);
double r86891 = 0.016666666666666666;
double r86892 = 0.3333333333333333;
double r86893 = 3.0;
double r86894 = pow(r86888, r86893);
double r86895 = r86888 + r86888;
double r86896 = fma(r86892, r86894, r86895);
double r86897 = fma(r86890, r86891, r86896);
double r86898 = U;
double r86899 = fma(r86887, r86897, r86898);
return r86899;
}



Bits error versus J



Bits error versus l



Bits error versus K



Bits error versus U
Initial program 17.6
Simplified17.6
Taylor expanded around 0 0.4
Simplified0.4
Final simplification0.4
herbie shell --seed 2019174 +o rules:numerics
(FPCore (J l K U)
:name "Maksimov and Kolovsky, Equation (4)"
(+ (* (* J (- (exp l) (exp (- l)))) (cos (/ K 2.0))) U))