\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 r167639 = J;
double r167640 = l;
double r167641 = exp(r167640);
double r167642 = -r167640;
double r167643 = exp(r167642);
double r167644 = r167641 - r167643;
double r167645 = r167639 * r167644;
double r167646 = K;
double r167647 = 2.0;
double r167648 = r167646 / r167647;
double r167649 = cos(r167648);
double r167650 = r167645 * r167649;
double r167651 = U;
double r167652 = r167650 + r167651;
return r167652;
}
double f(double J, double l, double K, double U) {
double r167653 = J;
double r167654 = 0.3333333333333333;
double r167655 = l;
double r167656 = 3.0;
double r167657 = pow(r167655, r167656);
double r167658 = 0.016666666666666666;
double r167659 = 5.0;
double r167660 = pow(r167655, r167659);
double r167661 = 2.0;
double r167662 = r167661 * r167655;
double r167663 = fma(r167658, r167660, r167662);
double r167664 = fma(r167654, r167657, r167663);
double r167665 = r167653 * r167664;
double r167666 = K;
double r167667 = 2.0;
double r167668 = r167666 / r167667;
double r167669 = cos(r167668);
double r167670 = r167665 * r167669;
double r167671 = U;
double r167672 = r167670 + r167671;
return r167672;
}



Bits error versus J



Bits error versus l



Bits error versus K



Bits error versus U
Initial program 17.6
Taylor expanded around 0 0.4
Simplified0.4
Final simplification0.4
herbie shell --seed 2020083 +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))