\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}}
\frac{1}{\left(1 + c\right) + \sqrt{\mathsf{fma}\left(cosTheta, -2, 1\right)} \cdot \left(\frac{e^{-cosTheta \cdot cosTheta}}{\left|\sqrt[3]{\pi}\right|} \cdot \frac{{\left(\frac{1}{\pi}\right)}^{0.16666666666666666}}{cosTheta}\right)}
(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
(/
1.0
(+
(+ 1.0 c)
(*
(sqrt (fma cosTheta -2.0 1.0))
(*
(/ (exp (- (* cosTheta cosTheta))) (fabs (cbrt PI)))
(/ (pow (/ 1.0 PI) 0.16666666666666666) 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) {
return 1.0f / ((1.0f + c) + (sqrtf(fmaf(cosTheta, -2.0f, 1.0f)) * ((expf(-(cosTheta * cosTheta)) / fabsf(cbrtf((float) M_PI))) * (powf((1.0f / ((float) M_PI)), 0.16666666666666666f) / cosTheta))));
}



Bits error versus cosTheta



Bits error versus c
Initial program 0.7
Simplified0.5
Applied div-inv_binary320.5
Simplified0.5
Applied add-cube-cbrt_binary320.5
Applied sqrt-prod_binary320.5
Applied div-inv_binary320.5
Applied times-frac_binary320.5
Simplified0.5
Taylor expanded in cosTheta around 0 0.5
Simplified0.4
Final simplification0.4
herbie shell --seed 2022004
(FPCore (cosTheta c)
:name "Beckmann Sample, normalization factor"
:precision binary32
:pre (and (and (< 0.0 cosTheta) (< cosTheta 0.9999)) (and (< -1.0 c) (< c 1.0)))
(/ 1.0 (+ (+ 1.0 c) (* (* (/ 1.0 (sqrt PI)) (/ (sqrt (- (- 1.0 cosTheta) cosTheta)) cosTheta)) (exp (* (- cosTheta) cosTheta))))))