\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}
\mathbf{if}\;F \leq -5.93455159894269 \cdot 10^{+20}:\\
\;\;\;\;\frac{-1}{\sin B} - \frac{x}{\tan B}\\
\mathbf{elif}\;F \leq 222155469.19471267:\\
\;\;\;\;\frac{F}{\sin B} \cdot {\left(\left(F \cdot F + 2\right) + x \cdot 2\right)}^{-0.5} - \frac{x \cdot \cos B}{\sin B}\\
\mathbf{else}:\\
\;\;\;\;\frac{1}{\sin B} - \frac{x}{\tan B}\\
\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
(if (<= F -5.93455159894269e+20)
(- (/ -1.0 (sin B)) (/ x (tan B)))
(if (<= F 222155469.19471267)
(-
(* (/ F (sin B)) (pow (+ (+ (* F F) 2.0) (* x 2.0)) -0.5))
(/ (* x (cos B)) (sin B)))
(- (/ 1.0 (sin B)) (/ x (tan B))))))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 tmp;
if (F <= -5.93455159894269e+20) {
tmp = (-1.0 / sin(B)) - (x / tan(B));
} else if (F <= 222155469.19471267) {
tmp = ((F / sin(B)) * pow((((F * F) + 2.0) + (x * 2.0)), -0.5)) - ((x * cos(B)) / sin(B));
} else {
tmp = (1.0 / sin(B)) - (x / tan(B));
}
return tmp;
}



Bits error versus F



Bits error versus B



Bits error versus x
Results
if F < -593455159894268970000Initial program 27.0
Simplified27.0
Taylor expanded around -inf 0.2
if -593455159894268970000 < F < 222155469.194712669Initial program 0.4
Simplified0.3
Taylor expanded around 0 0.3
if 222155469.194712669 < F Initial program 25.6
Simplified25.5
Taylor expanded around inf 0.2
Final simplification0.2
herbie shell --seed 2021026
(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))))))