\left(J \cdot \left(e^{\ell} - e^{-\ell}\right)\right) \cdot \cos \left(\frac{K}{2}\right) + U\mathsf{fma}\left(J \cdot \mathsf{fma}\left(\frac{1}{3}, {\ell}^{3}, \mathsf{fma}\left(\frac{1}{60}, {\ell}^{5}, 2 \cdot \ell\right)\right), \cos \left(\frac{K}{2}\right), U\right)double code(double J, double l, double K, double U) {
return (((J * (exp(l) - exp(-l))) * cos((K / 2.0))) + U);
}
double code(double J, double l, double K, double U) {
return fma((J * fma(0.3333333333333333, pow(l, 3.0), fma(0.016666666666666666, pow(l, 5.0), (2.0 * l)))), cos((K / 2.0)), U);
}



Bits error versus J



Bits error versus l



Bits error versus K



Bits error versus U
Results
Initial program 17.1
Simplified17.1
Taylor expanded around 0 0.4
Simplified0.4
Final simplification0.4
herbie shell --seed 2020057 +o rules:numerics
(FPCore (J l K U)
:name "Maksimov and Kolovsky, Equation (4)"
:precision binary64
(+ (* (* J (- (exp l) (exp (- l)))) (cos (/ K 2))) U))