\left(J \cdot \left(e^{\ell} - e^{-\ell}\right)\right) \cdot \cos \left(\frac{K}{2}\right) + U\left(\frac{1}{3} \cdot \left(J \cdot {\ell}^{3}\right) + \mathsf{fma}\left(\frac{1}{60}, {\ell}^{5}, 2 \cdot \ell\right) \cdot J\right) \cdot \cos \left(\frac{K}{2}\right) + Udouble f(double J, double l, double K, double U) {
double r123220 = J;
double r123221 = l;
double r123222 = exp(r123221);
double r123223 = -r123221;
double r123224 = exp(r123223);
double r123225 = r123222 - r123224;
double r123226 = r123220 * r123225;
double r123227 = K;
double r123228 = 2.0;
double r123229 = r123227 / r123228;
double r123230 = cos(r123229);
double r123231 = r123226 * r123230;
double r123232 = U;
double r123233 = r123231 + r123232;
return r123233;
}
double f(double J, double l, double K, double U) {
double r123234 = 0.3333333333333333;
double r123235 = J;
double r123236 = l;
double r123237 = 3.0;
double r123238 = pow(r123236, r123237);
double r123239 = r123235 * r123238;
double r123240 = r123234 * r123239;
double r123241 = 0.016666666666666666;
double r123242 = 5.0;
double r123243 = pow(r123236, r123242);
double r123244 = 2.0;
double r123245 = r123244 * r123236;
double r123246 = fma(r123241, r123243, r123245);
double r123247 = r123246 * r123235;
double r123248 = r123240 + r123247;
double r123249 = K;
double r123250 = 2.0;
double r123251 = r123249 / r123250;
double r123252 = cos(r123251);
double r123253 = r123248 * r123252;
double r123254 = U;
double r123255 = r123253 + r123254;
return r123255;
}



Bits error versus J



Bits error versus l



Bits error versus K



Bits error versus U
Initial program 17.5
Taylor expanded around 0 0.4
Simplified0.4
rmApplied fma-udef0.4
Applied distribute-lft-in0.4
Simplified0.4
Simplified0.4
Final simplification0.4
herbie shell --seed 2019350 +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))