\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_0 \cdot \left(\frac{1}{\mathsf{fma}\left(t_0, 1 + {c}^{3}, \sqrt{\mathsf{fma}\left(cosTheta, -2, 1\right)} \cdot \mathsf{fma}\left(c, c + -1, 1\right)\right)} \cdot \left(1 + \left(c \cdot c - c\right)\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 PI) (* cosTheta (pow (exp cosTheta) cosTheta)))))
(*
t_0
(*
(/
1.0
(fma
t_0
(+ 1.0 (pow c 3.0))
(* (sqrt (fma cosTheta -2.0 1.0)) (fma c (+ c -1.0) 1.0))))
(+ 1.0 (- (* c c) 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((float) M_PI) * (cosTheta * powf(expf(cosTheta), cosTheta));
return t_0 * ((1.0f / fmaf(t_0, (1.0f + powf(c, 3.0f)), (sqrtf(fmaf(cosTheta, -2.0f, 1.0f)) * fmaf(c, (c + -1.0f), 1.0f)))) * (1.0f + ((c * c) - c)));
}



Bits error versus cosTheta



Bits error versus c
Initial program 0.7
Simplified0.5
Applied flip3-+_binary320.5
Applied frac-add_binary320.5
Applied associate-/r/_binary320.4
Simplified0.4
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))))))