\sin^{-1} \left(\frac{h}{\sqrt{eta \cdot eta - \frac{sinTheta_O \cdot sinTheta_O}{\sqrt{1 - sinTheta_O \cdot sinTheta_O}}}}\right)
\begin{array}{l}
t_0 := 1 - sinTheta_O \cdot sinTheta_O\\
\sin^{-1} \left(\frac{h \cdot {\left(\mathsf{fma}\left(sinTheta_O, {\left(\frac{1}{t_0}\right)}^{0.25}, eta\right)\right)}^{-0.5}}{\sqrt{eta - \frac{sinTheta_O}{\sqrt{\sqrt{t_0}}}}}\right)
\end{array}
(FPCore (sinTheta_O h eta)
:precision binary32
(asin
(/
h
(sqrt
(-
(* eta eta)
(/
(* sinTheta_O sinTheta_O)
(sqrt (- 1.0 (* sinTheta_O sinTheta_O)))))))))(FPCore (sinTheta_O h eta)
:precision binary32
(let* ((t_0 (- 1.0 (* sinTheta_O sinTheta_O))))
(asin
(/
(* h (pow (fma sinTheta_O (pow (/ 1.0 t_0) 0.25) eta) -0.5))
(sqrt (- eta (/ sinTheta_O (sqrt (sqrt t_0)))))))))float code(float sinTheta_O, float h, float eta) {
return asinf(h / sqrtf((eta * eta) - ((sinTheta_O * sinTheta_O) / sqrtf(1.0f - (sinTheta_O * sinTheta_O)))));
}
float code(float sinTheta_O, float h, float eta) {
float t_0 = 1.0f - (sinTheta_O * sinTheta_O);
return asinf((h * powf(fmaf(sinTheta_O, powf((1.0f / t_0), 0.25f), eta), -0.5f)) / sqrtf(eta - (sinTheta_O / sqrtf(sqrtf(t_0)))));
}



Bits error versus sinTheta_O



Bits error versus h



Bits error versus eta
Initial program 2.5
Applied add-sqr-sqrt_binary322.6
Applied times-frac_binary322.5
Applied difference-of-squares_binary322.5
Applied sqrt-prod_binary320.5
Applied associate-/r*_binary320.5
Taylor expanded in h around 0 0.5
Simplified0.5
Applied inv-pow_binary320.5
Applied sqrt-pow1_binary320.4
Final simplification0.4
herbie shell --seed 2021225
(FPCore (sinTheta_O h eta)
:name "HairBSDF, gamma for a refracted ray"
:precision binary32
:pre (and (<= -1.0 sinTheta_O 1.0) (<= -1.0 h 1.0) (<= 0.0 eta 10.0))
(asin (/ h (sqrt (- (* eta eta) (/ (* sinTheta_O sinTheta_O) (sqrt (- 1.0 (* sinTheta_O sinTheta_O)))))))))