\left(J \cdot \left(e^{\ell} - e^{-\ell}\right)\right) \cdot \cos \left(\frac{K}{2}\right) + U\mathsf{fma}\left(\left(\frac{1}{3} \cdot {\ell}^{3}\right) \cdot J + \mathsf{fma}\left(\frac{1}{60}, {\ell}^{5}, 2 \cdot \ell\right) \cdot J, \cos \left(\frac{K}{2}\right), U\right)double f(double J, double l, double K, double U) {
double r173779 = J;
double r173780 = l;
double r173781 = exp(r173780);
double r173782 = -r173780;
double r173783 = exp(r173782);
double r173784 = r173781 - r173783;
double r173785 = r173779 * r173784;
double r173786 = K;
double r173787 = 2.0;
double r173788 = r173786 / r173787;
double r173789 = cos(r173788);
double r173790 = r173785 * r173789;
double r173791 = U;
double r173792 = r173790 + r173791;
return r173792;
}
double f(double J, double l, double K, double U) {
double r173793 = 0.3333333333333333;
double r173794 = l;
double r173795 = 3.0;
double r173796 = pow(r173794, r173795);
double r173797 = r173793 * r173796;
double r173798 = J;
double r173799 = r173797 * r173798;
double r173800 = 0.016666666666666666;
double r173801 = 5.0;
double r173802 = pow(r173794, r173801);
double r173803 = 2.0;
double r173804 = r173803 * r173794;
double r173805 = fma(r173800, r173802, r173804);
double r173806 = r173805 * r173798;
double r173807 = r173799 + r173806;
double r173808 = K;
double r173809 = 2.0;
double r173810 = r173808 / r173809;
double r173811 = cos(r173810);
double r173812 = U;
double r173813 = fma(r173807, r173811, r173812);
return r173813;
}



Bits error versus J



Bits error versus l



Bits error versus K



Bits error versus U
Initial program 17.2
Simplified17.2
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 2019351 +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))