\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 r166260 = J;
double r166261 = l;
double r166262 = exp(r166261);
double r166263 = -r166261;
double r166264 = exp(r166263);
double r166265 = r166262 - r166264;
double r166266 = r166260 * r166265;
double r166267 = K;
double r166268 = 2.0;
double r166269 = r166267 / r166268;
double r166270 = cos(r166269);
double r166271 = r166266 * r166270;
double r166272 = U;
double r166273 = r166271 + r166272;
return r166273;
}
double f(double J, double l, double K, double U) {
double r166274 = J;
double r166275 = 0.3333333333333333;
double r166276 = l;
double r166277 = 3.0;
double r166278 = pow(r166276, r166277);
double r166279 = 0.016666666666666666;
double r166280 = 5.0;
double r166281 = pow(r166276, r166280);
double r166282 = 2.0;
double r166283 = r166282 * r166276;
double r166284 = fma(r166279, r166281, r166283);
double r166285 = fma(r166275, r166278, r166284);
double r166286 = r166274 * r166285;
double r166287 = K;
double r166288 = 2.0;
double r166289 = r166287 / r166288;
double r166290 = cos(r166289);
double r166291 = r166286 * r166290;
double r166292 = U;
double r166293 = r166291 + r166292;
return r166293;
}



Bits error versus J



Bits error versus l



Bits error versus K



Bits error versus U
Initial program 17.1
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))