\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 := \frac{sinTheta_O}{\sqrt{\sqrt{1 - sinTheta_O \cdot sinTheta_O}}}\\
\sin^{-1} \left(\frac{h}{\frac{\sqrt{eta - t_0}}{{\left(eta + t_0\right)}^{-0.5}}}\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 (/ sinTheta_O (sqrt (sqrt (- 1.0 (* sinTheta_O sinTheta_O))))))) (asin (/ h (/ (sqrt (- eta t_0)) (pow (+ eta t_0) -0.5))))))
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 = sinTheta_O / sqrtf(sqrtf(1.0f - (sinTheta_O * sinTheta_O)));
return asinf(h / (sqrtf(eta - t_0) / powf((eta + t_0), -0.5f)));
}



Bits error versus sinTheta_O



Bits error versus h



Bits error versus eta
Results
Initial program 2.6
Applied add-sqr-sqrt_binary322.6
Applied times-frac_binary322.6
Applied difference-of-squares_binary322.6
Applied sqrt-prod_binary320.4
Applied associate-/r*_binary320.5
Applied div-inv_binary320.6
Applied associate-/l*_binary320.5
Applied pow1/2_binary320.5
Applied pow-flip_binary320.3
Simplified0.3
Final simplification0.3
herbie shell --seed 2022088
(FPCore (sinTheta_O h eta)
:name "HairBSDF, gamma for a refracted ray"
:precision binary32
:pre (and (and (and (<= -1.0 sinTheta_O) (<= sinTheta_O 1.0)) (and (<= -1.0 h) (<= h 1.0))) (and (<= 0.0 eta) (<= eta 10.0)))
(asin (/ h (sqrt (- (* eta eta) (/ (* sinTheta_O sinTheta_O) (sqrt (- 1.0 (* sinTheta_O sinTheta_O)))))))))