(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 (/ (+ 1.0 (* cosTheta -2.0)) PI))
(t_1
(+ 1.0 (* (sqrt t_0) (/ 1.0 (* cosTheta (exp (pow cosTheta 2.0))))))))
(-
(+
(/
1.0
(+
1.0
(/
(cbrt t_0)
(/
(* cosTheta (pow (exp cosTheta) cosTheta))
(pow (/ (fma cosTheta -2.0 1.0) PI) 0.16666666666666666)))))
(/ (pow c 2.0) (pow t_1 3.0)))
(+ (/ (pow c 3.0) (pow t_1 4.0)) (/ c (pow t_1 2.0))))))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 = (1.0f + (cosTheta * -2.0f)) / ((float) M_PI);
float t_1 = 1.0f + (sqrtf(t_0) * (1.0f / (cosTheta * expf(powf(cosTheta, 2.0f)))));
return ((1.0f / (1.0f + (cbrtf(t_0) / ((cosTheta * powf(expf(cosTheta), cosTheta)) / powf((fmaf(cosTheta, -2.0f, 1.0f) / ((float) M_PI)), 0.16666666666666666f))))) + (powf(c, 2.0f) / powf(t_1, 3.0f))) - ((powf(c, 3.0f) / powf(t_1, 4.0f)) + (c / powf(t_1, 2.0f)));
}
function code(cosTheta, c) return Float32(Float32(1.0) / Float32(Float32(Float32(1.0) + c) + Float32(Float32(Float32(Float32(1.0) / sqrt(Float32(pi))) * Float32(sqrt(Float32(Float32(Float32(1.0) - cosTheta) - cosTheta)) / cosTheta)) * exp(Float32(Float32(-cosTheta) * cosTheta))))) end
function code(cosTheta, c) t_0 = Float32(Float32(Float32(1.0) + Float32(cosTheta * Float32(-2.0))) / Float32(pi)) t_1 = Float32(Float32(1.0) + Float32(sqrt(t_0) * Float32(Float32(1.0) / Float32(cosTheta * exp((cosTheta ^ Float32(2.0))))))) return Float32(Float32(Float32(Float32(1.0) / Float32(Float32(1.0) + Float32(cbrt(t_0) / Float32(Float32(cosTheta * (exp(cosTheta) ^ cosTheta)) / (Float32(fma(cosTheta, Float32(-2.0), Float32(1.0)) / Float32(pi)) ^ Float32(0.16666666666666666)))))) + Float32((c ^ Float32(2.0)) / (t_1 ^ Float32(3.0)))) - Float32(Float32((c ^ Float32(3.0)) / (t_1 ^ Float32(4.0))) + Float32(c / (t_1 ^ Float32(2.0))))) end
\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 := \frac{1 + cosTheta \cdot -2}{\pi}\\
t_1 := 1 + \sqrt{t_0} \cdot \frac{1}{cosTheta \cdot e^{{cosTheta}^{2}}}\\
\left(\frac{1}{1 + \frac{\sqrt[3]{t_0}}{\frac{cosTheta \cdot {\left(e^{cosTheta}\right)}^{cosTheta}}{{\left(\frac{\mathsf{fma}\left(cosTheta, -2, 1\right)}{\pi}\right)}^{0.16666666666666666}}}} + \frac{{c}^{2}}{{t_1}^{3}}\right) - \left(\frac{{c}^{3}}{{t_1}^{4}} + \frac{c}{{t_1}^{2}}\right)
\end{array}



Bits error versus cosTheta



Bits error versus c
Initial program 0.7
Simplified0.5
Taylor expanded in c around 0 0.7
Applied egg-rr0.5
Applied egg-rr0.5
Final simplification0.5
herbie shell --seed 2022166
(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))))))