\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 f(double J, double l, double K, double U) {
double r77374 = J;
double r77375 = l;
double r77376 = exp(r77375);
double r77377 = -r77375;
double r77378 = exp(r77377);
double r77379 = r77376 - r77378;
double r77380 = r77374 * r77379;
double r77381 = K;
double r77382 = 2.0;
double r77383 = r77381 / r77382;
double r77384 = cos(r77383);
double r77385 = r77380 * r77384;
double r77386 = U;
double r77387 = r77385 + r77386;
return r77387;
}
double f(double J, double l, double K, double U) {
double r77388 = J;
double r77389 = 0.3333333333333333;
double r77390 = l;
double r77391 = 3.0;
double r77392 = pow(r77390, r77391);
double r77393 = 0.016666666666666666;
double r77394 = 5.0;
double r77395 = pow(r77390, r77394);
double r77396 = 2.0;
double r77397 = r77396 * r77390;
double r77398 = fma(r77393, r77395, r77397);
double r77399 = fma(r77389, r77392, r77398);
double r77400 = r77388 * r77399;
double r77401 = K;
double r77402 = 2.0;
double r77403 = r77401 / r77402;
double r77404 = cos(r77403);
double r77405 = U;
double r77406 = fma(r77400, r77404, r77405);
return r77406;
}



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 2019303 +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))