\left(-x \cdot \frac{1}{\tan B}\right) + \frac{F}{\sin B} \cdot {\left(\left(F \cdot F + 2\right) + 2 \cdot x\right)}^{\left(-\frac{1}{2}\right)}
\begin{array}{l}
t_0 := \frac{x}{\tan B}\\
\mathbf{if}\;F \leq -2.133618383434366 \cdot 10^{+44}:\\
\;\;\;\;\frac{-1}{\sin B} - t_0\\
\mathbf{elif}\;F \leq 44861197.49111579:\\
\;\;\;\;\frac{F}{\sin B} \cdot \sqrt{\frac{1}{\mathsf{fma}\left(F, F, \mathsf{fma}\left(2, x, 2\right)\right)}} - t_0\\
\mathbf{else}:\\
\;\;\;\;\frac{1}{\sin B} - t_0\\
\end{array}
(FPCore (F B x) :precision binary64 (+ (- (* x (/ 1.0 (tan B)))) (* (/ F (sin B)) (pow (+ (+ (* F F) 2.0) (* 2.0 x)) (- (/ 1.0 2.0))))))
(FPCore (F B x)
:precision binary64
(let* ((t_0 (/ x (tan B))))
(if (<= F -2.133618383434366e+44)
(- (/ -1.0 (sin B)) t_0)
(if (<= F 44861197.49111579)
(- (* (/ F (sin B)) (sqrt (/ 1.0 (fma F F (fma 2.0 x 2.0))))) t_0)
(- (/ 1.0 (sin B)) t_0)))))double code(double F, double B, double x) {
return -(x * (1.0 / tan(B))) + ((F / sin(B)) * pow((((F * F) + 2.0) + (2.0 * x)), -(1.0 / 2.0)));
}
double code(double F, double B, double x) {
double t_0 = x / tan(B);
double tmp;
if (F <= -2.133618383434366e+44) {
tmp = (-1.0 / sin(B)) - t_0;
} else if (F <= 44861197.49111579) {
tmp = ((F / sin(B)) * sqrt(1.0 / fma(F, F, fma(2.0, x, 2.0)))) - t_0;
} else {
tmp = (1.0 / sin(B)) - t_0;
}
return tmp;
}



Bits error versus F



Bits error versus B



Bits error versus x
if F < -2.13361838343436615e44Initial program 28.0
Simplified27.9
Taylor expanded in F around -inf 0.1
if -2.13361838343436615e44 < F < 44861197.491115794Initial program 0.6
Simplified0.5
Applied associate-*l/_binary640.3
Taylor expanded in B around inf 0.5
Simplified0.5
if 44861197.491115794 < F Initial program 26.0
Simplified26.0
Taylor expanded in F around inf 0.1
Final simplification0.3
herbie shell --seed 2021329
(FPCore (F B x)
:name "VandenBroeck and Keller, Equation (23)"
:precision binary64
(+ (- (* x (/ 1.0 (tan B)))) (* (/ F (sin B)) (pow (+ (+ (* F F) 2.0) (* 2.0 x)) (- (/ 1.0 2.0))))))