\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 -9954974501575.89:\\
\;\;\;\;\frac{-1}{\sin B} - t_0\\
\mathbf{elif}\;F \leq 360268048.4305206:\\
\;\;\;\;F \cdot \frac{{\left(\mathsf{fma}\left(2, x, \mathsf{fma}\left(F, F, 2\right)\right)\right)}^{-0.5}}{\sin B} - 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 -9954974501575.89)
(- (/ -1.0 (sin B)) t_0)
(if (<= F 360268048.4305206)
(- (* F (/ (pow (fma 2.0 x (fma F F 2.0)) -0.5) (sin B))) 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 <= -9954974501575.89) {
tmp = (-1.0 / sin(B)) - t_0;
} else if (F <= 360268048.4305206) {
tmp = (F * (pow(fma(2.0, x, fma(F, F, 2.0)), -0.5) / sin(B))) - 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 < -9954974501575.8906Initial program 26.7
Simplified26.7
Taylor expanded in F around -inf 0.2
if -9954974501575.8906 < F < 360268048.430520594Initial program 0.4
Simplified0.3
Applied div-inv_binary640.3
Applied associate-*l*_binary640.3
Simplified0.3
if 360268048.430520594 < F Initial program 24.2
Simplified24.1
Taylor expanded in F around inf 0.1
Final simplification0.2
herbie shell --seed 2022101
(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))))))