\frac{1}{\left(1 + c\right) + \left(\frac{1}{\sqrt{\pi}} \cdot \frac{\sqrt{\left(1 - cosTheta\right) - cosTheta}}{cosTheta}\right) \cdot e^{\left(-cosTheta\right) \cdot cosTheta}}
\begin{array}{l}
t_0 := \sqrt{\pi} \cdot \left(cosTheta \cdot {\left(e^{cosTheta}\right)}^{cosTheta}\right)\\
t_1 := \left(1 + c \cdot c\right) - c\\
t_0 \cdot \frac{t_1}{t_0 \cdot \left(1 + {c}^{3}\right) + t_1 \cdot \sqrt{1 - \left(cosTheta + cosTheta\right)}}
\end{array}
(FPCore (cosTheta c)
:precision binary32
(/
1.0
(+
(+ 1.0 c)
(*
(* (/ 1.0 (sqrt PI)) (/ (sqrt (- (- 1.0 cosTheta) cosTheta)) cosTheta))
(exp (* (- cosTheta) cosTheta))))))(FPCore (cosTheta c)
:precision binary32
(let* ((t_0 (* (sqrt PI) (* cosTheta (pow (exp cosTheta) cosTheta))))
(t_1 (- (+ 1.0 (* c c)) c)))
(*
t_0
(/
t_1
(+
(* t_0 (+ 1.0 (pow c 3.0)))
(* t_1 (sqrt (- 1.0 (+ cosTheta cosTheta)))))))))float code(float cosTheta, float c) {
return 1.0f / ((1.0f + c) + (((1.0f / sqrtf((float) M_PI)) * (sqrtf((1.0f - cosTheta) - cosTheta) / cosTheta)) * expf(-cosTheta * cosTheta)));
}
float code(float cosTheta, float c) {
float t_0 = sqrtf((float) M_PI) * (cosTheta * powf(expf(cosTheta), cosTheta));
float t_1 = (1.0f + (c * c)) - c;
return t_0 * (t_1 / ((t_0 * (1.0f + powf(c, 3.0f))) + (t_1 * sqrtf(1.0f - (cosTheta + cosTheta)))));
}



Bits error versus cosTheta



Bits error versus c
Results
Initial program 0.7
Simplified0.5
rmApplied flip3-+_binary320.5
Applied frac-add_binary320.5
Applied associate-/r/_binary320.4
Simplified0.5
rmApplied associate-*r*_binary320.4
Simplified0.4
Final simplification0.4
herbie shell --seed 2021204
(FPCore (cosTheta c)
:name "Beckmann Sample, normalization factor"
:precision binary32
:pre (and (< 0.0 cosTheta 0.9999) (< -1.0 c 1.0))
(/ 1.0 (+ (+ 1.0 c) (* (* (/ 1.0 (sqrt PI)) (/ (sqrt (- (- 1.0 cosTheta) cosTheta)) cosTheta)) (exp (* (- cosTheta) cosTheta))))))