| Alternative 1 | |
|---|---|
| Accuracy | 97.4% |
| Cost | 3552 |
\[\sin^{-1} \left(\frac{h}{eta + -0.5 \cdot \frac{sinTheta_O \cdot sinTheta_O}{eta}}\right)
\]
(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 (asin (/ h (+ eta (* (* sinTheta_O (/ sinTheta_O eta)) -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) {
return asinf((h / (eta + ((sinTheta_O * (sinTheta_O / eta)) * -0.5f))));
}
real(4) function code(sintheta_o, h, eta)
real(4), intent (in) :: sintheta_o
real(4), intent (in) :: h
real(4), intent (in) :: eta
code = asin((h / sqrt(((eta * eta) - ((sintheta_o * sintheta_o) / sqrt((1.0e0 - (sintheta_o * sintheta_o))))))))
end function
real(4) function code(sintheta_o, h, eta)
real(4), intent (in) :: sintheta_o
real(4), intent (in) :: h
real(4), intent (in) :: eta
code = asin((h / (eta + ((sintheta_o * (sintheta_o / eta)) * (-0.5e0)))))
end function
function code(sinTheta_O, h, eta) return asin(Float32(h / sqrt(Float32(Float32(eta * eta) - Float32(Float32(sinTheta_O * sinTheta_O) / sqrt(Float32(Float32(1.0) - Float32(sinTheta_O * sinTheta_O)))))))) end
function code(sinTheta_O, h, eta) return asin(Float32(h / Float32(eta + Float32(Float32(sinTheta_O * Float32(sinTheta_O / eta)) * Float32(-0.5))))) end
function tmp = code(sinTheta_O, h, eta) tmp = asin((h / sqrt(((eta * eta) - ((sinTheta_O * sinTheta_O) / sqrt((single(1.0) - (sinTheta_O * sinTheta_O)))))))); end
function tmp = code(sinTheta_O, h, eta) tmp = asin((h / (eta + ((sinTheta_O * (sinTheta_O / eta)) * single(-0.5))))); end
\sin^{-1} \left(\frac{h}{\sqrt{eta \cdot eta - \frac{sinTheta_O \cdot sinTheta_O}{\sqrt{1 - sinTheta_O \cdot sinTheta_O}}}}\right)
\sin^{-1} \left(\frac{h}{eta + \left(sinTheta_O \cdot \frac{sinTheta_O}{eta}\right) \cdot -0.5}\right)
Results
Initial program 92.0%
Taylor expanded in sinTheta_O around 0 97.4%
Simplified97.9%
[Start]97.4 | \[ \sin^{-1} \left(\frac{h}{eta + -0.5 \cdot \frac{{sinTheta_O}^{2}}{eta}}\right)
\] |
|---|---|
+-commutative [=>]97.4 | \[ \sin^{-1} \left(\frac{h}{\color{blue}{-0.5 \cdot \frac{{sinTheta_O}^{2}}{eta} + eta}}\right)
\] |
fma-def [=>]97.4 | \[ \sin^{-1} \left(\frac{h}{\color{blue}{\mathsf{fma}\left(-0.5, \frac{{sinTheta_O}^{2}}{eta}, eta\right)}}\right)
\] |
unpow2 [=>]97.4 | \[ \sin^{-1} \left(\frac{h}{\mathsf{fma}\left(-0.5, \frac{\color{blue}{sinTheta_O \cdot sinTheta_O}}{eta}, eta\right)}\right)
\] |
associate-/l* [=>]97.9 | \[ \sin^{-1} \left(\frac{h}{\mathsf{fma}\left(-0.5, \color{blue}{\frac{sinTheta_O}{\frac{eta}{sinTheta_O}}}, eta\right)}\right)
\] |
Applied egg-rr97.9%
Final simplification97.9%
| Alternative 1 | |
|---|---|
| Accuracy | 97.4% |
| Cost | 3552 |
| Alternative 2 | |
|---|---|
| Accuracy | 95.5% |
| Cost | 3296 |
herbie shell --seed 2023125
(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)))))))))