\left(J \cdot \left(e^{\ell} - e^{-\ell}\right)\right) \cdot \cos \left(\frac{K}{2}\right) + U\left(J \cdot \mathsf{fma}\left(\frac{1}{3}, {\ell}^{3}, \mathsf{fma}\left(\frac{1}{60}, {\ell}^{5}, 2 \cdot \ell\right)\right)\right) \cdot \cos \left(\frac{K}{2}\right) + Udouble f(double J, double l, double K, double U) {
double r144545 = J;
double r144546 = l;
double r144547 = exp(r144546);
double r144548 = -r144546;
double r144549 = exp(r144548);
double r144550 = r144547 - r144549;
double r144551 = r144545 * r144550;
double r144552 = K;
double r144553 = 2.0;
double r144554 = r144552 / r144553;
double r144555 = cos(r144554);
double r144556 = r144551 * r144555;
double r144557 = U;
double r144558 = r144556 + r144557;
return r144558;
}
double f(double J, double l, double K, double U) {
double r144559 = J;
double r144560 = 0.3333333333333333;
double r144561 = l;
double r144562 = 3.0;
double r144563 = pow(r144561, r144562);
double r144564 = 0.016666666666666666;
double r144565 = 5.0;
double r144566 = pow(r144561, r144565);
double r144567 = 2.0;
double r144568 = r144567 * r144561;
double r144569 = fma(r144564, r144566, r144568);
double r144570 = fma(r144560, r144563, r144569);
double r144571 = r144559 * r144570;
double r144572 = K;
double r144573 = 2.0;
double r144574 = r144572 / r144573;
double r144575 = cos(r144574);
double r144576 = r144571 * r144575;
double r144577 = U;
double r144578 = r144576 + r144577;
return r144578;
}



Bits error versus J



Bits error versus l



Bits error versus K



Bits error versus U
Initial program 17.1
Simplified17.1
Taylor expanded around 0 0.4
Simplified0.4
rmApplied fma-udef0.4
Final simplification0.4
herbie shell --seed 2020089 +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))