\left(\left(-2 \cdot J\right) \cdot \cos \left(\frac{K}{2}\right)\right) \cdot \sqrt{1 + {\left(\frac{U}{\left(2 \cdot J\right) \cdot \cos \left(\frac{K}{2}\right)}\right)}^{2}}
\begin{array}{l}
\mathbf{if}\;J \leq -2.8689791562071003 \cdot 10^{-208} \lor \neg \left(J \leq 2.176564396023258 \cdot 10^{-255}\right):\\
\;\;\;\;\begin{array}{l}
t_0 := \cos \left(\frac{K}{2}\right)\\
\left(\left(J \cdot -2\right) \cdot t_0\right) \cdot \mathsf{hypot}\left(1, \frac{U}{t_0 \cdot \left(J \cdot 2\right)}\right)
\end{array}\\
\mathbf{else}:\\
\;\;\;\;U + 2 \cdot \frac{{J}^{2} \cdot {\cos \left(K \cdot 0.5\right)}^{2}}{U}\\
\end{array}
(FPCore (J K U) :precision binary64 (* (* (* -2.0 J) (cos (/ K 2.0))) (sqrt (+ 1.0 (pow (/ U (* (* 2.0 J) (cos (/ K 2.0)))) 2.0)))))
(FPCore (J K U)
:precision binary64
(if (or (<= J -2.8689791562071003e-208) (not (<= J 2.176564396023258e-255)))
(let* ((t_0 (cos (/ K 2.0))))
(* (* (* J -2.0) t_0) (hypot 1.0 (/ U (* t_0 (* J 2.0))))))
(+ U (* 2.0 (/ (* (pow J 2.0) (pow (cos (* K 0.5)) 2.0)) U)))))double code(double J, double K, double U) {
return ((-2.0 * J) * cos(K / 2.0)) * sqrt(1.0 + pow((U / ((2.0 * J) * cos(K / 2.0))), 2.0));
}
double code(double J, double K, double U) {
double tmp;
if ((J <= -2.8689791562071003e-208) || !(J <= 2.176564396023258e-255)) {
double t_0_1 = cos(K / 2.0);
tmp = ((J * -2.0) * t_0_1) * hypot(1.0, (U / (t_0_1 * (J * 2.0))));
} else {
tmp = U + (2.0 * ((pow(J, 2.0) * pow(cos(K * 0.5), 2.0)) / U));
}
return tmp;
}



Bits error versus J



Bits error versus K



Bits error versus U
Results
if J < -2.8689791562071003e-208 or 2.176564396023258e-255 < J Initial program 14.4
Simplified5.4
if -2.8689791562071003e-208 < J < 2.176564396023258e-255Initial program 42.6
Simplified26.9
Taylor expanded in U around -inf 32.5
Final simplification8.7
herbie shell --seed 2021275
(FPCore (J K U)
:name "Maksimov and Kolovsky, Equation (3)"
:precision binary64
(* (* (* -2.0 J) (cos (/ K 2.0))) (sqrt (+ 1.0 (pow (/ U (* (* 2.0 J) (cos (/ K 2.0)))) 2.0)))))