\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{\sqrt[3]{\pi} \cdot \sqrt[3]{\pi}} \cdot \left(\sqrt{\sqrt[3]{\pi}} \cdot \left(cosTheta \cdot {\left(e^{cosTheta}\right)}^{cosTheta}\right)\right)\\
\frac{1}{\left(1 - c \cdot c\right) \cdot t_0 + \left(1 - c\right) \cdot \sqrt{\mathsf{fma}\left(cosTheta, -2, 1\right)}} \cdot \left(t_0 \cdot \left(1 - c\right)\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 (* (cbrt PI) (cbrt PI)))
(* (sqrt (cbrt PI)) (* cosTheta (pow (exp cosTheta) cosTheta))))))
(*
(/
1.0
(+ (* (- 1.0 (* c c)) t_0) (* (- 1.0 c) (sqrt (fma cosTheta -2.0 1.0)))))
(* t_0 (- 1.0 c)))))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(cbrtf((float) M_PI) * cbrtf((float) M_PI)) * (sqrtf(cbrtf((float) M_PI)) * (cosTheta * powf(expf(cosTheta), cosTheta)));
return (1.0f / (((1.0f - (c * c)) * t_0) + ((1.0f - c) * sqrtf(fmaf(cosTheta, -2.0f, 1.0f))))) * (t_0 * (1.0f - c));
}



Bits error versus cosTheta



Bits error versus c
Initial program 0.7
Simplified0.5
Applied add-cube-cbrt_binary320.5
Applied sqrt-prod_binary320.5
Applied associate-*l*_binary320.5
Applied flip-+_binary320.5
Applied frac-add_binary320.5
Applied associate-/r/_binary320.4
Final simplification0.4
herbie shell --seed 2021215
(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))))))