HairBSDF, gamma for a refracted ray

Percentage Accurate: 91.8% → 98.6%

Time: 19.8s

Alternatives: 3

Speedup: 3.1×

Specification

\[\left(\left(-1 \leq sinTheta\_O \land sinTheta\_O \leq 1\right) \land \left(-1 \leq h \land h \leq 1\right)\right) \land \left(0 \leq eta \land eta \leq 10\right)\]

Math

\[\begin{array}{l} \\ \sin^{-1} \left(\frac{h}{\sqrt{eta \cdot eta - \frac{sinTheta\_O \cdot sinTheta\_O}{\sqrt{1 - sinTheta\_O \cdot sinTheta\_O}}}}\right) \end{array} \]

FPCore

(FPCore (sinTheta_O h eta)
 :precision binary32
 (asin
  (/
   h
   (sqrt
    (-
     (* eta eta)
     (/
      (* sinTheta_O sinTheta_O)
      (sqrt (- 1.0 (* sinTheta_O sinTheta_O)))))))))

C

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))))))));
}

Fortran

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

Julia

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

MATLAB

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

Initial Program: 91.8% accurate, 1.0× speedup

Math

\[\begin{array}{l} \\ \sin^{-1} \left(\frac{h}{\sqrt{eta \cdot eta - \frac{sinTheta\_O \cdot sinTheta\_O}{\sqrt{1 - sinTheta\_O \cdot sinTheta\_O}}}}\right) \end{array} \]

FPCore

(FPCore (sinTheta_O h eta)
 :precision binary32
 (asin
  (/
   h
   (sqrt
    (-
     (* eta eta)
     (/
      (* sinTheta_O sinTheta_O)
      (sqrt (- 1.0 (* sinTheta_O sinTheta_O)))))))))

C

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))))))));
}

Fortran

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

Julia

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

MATLAB

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

Alternative 1: 98.6% accurate, 0.4× speedup

Math

\[\begin{array}{l} \\ \begin{array}{l} t_0 := {\left(1 - {sinTheta\_O}^{2}\right)}^{-0.25}\\ \sin^{-1} \left(\frac{h}{\sqrt{\mathsf{fma}\left(sinTheta\_O, t\_0, eta\right)} \cdot \sqrt{eta - sinTheta\_O \cdot t\_0}}\right) \end{array} \end{array} \]

FPCore

(FPCore (sinTheta_O h eta)
 :precision binary32
 (let* ((t_0 (pow (- 1.0 (pow sinTheta_O 2.0)) -0.25)))
   (asin
    (/
     h
     (* (sqrt (fma sinTheta_O t_0 eta)) (sqrt (- eta (* sinTheta_O t_0))))))))

C

float code(float sinTheta_O, float h, float eta) {
	float t_0 = powf((1.0f - powf(sinTheta_O, 2.0f)), -0.25f);
	return asinf((h / (sqrtf(fmaf(sinTheta_O, t_0, eta)) * sqrtf((eta - (sinTheta_O * t_0))))));
}

Julia

function code(sinTheta_O, h, eta)
	t_0 = Float32(Float32(1.0) - (sinTheta_O ^ Float32(2.0))) ^ Float32(-0.25)
	return asin(Float32(h / Float32(sqrt(fma(sinTheta_O, t_0, eta)) * sqrt(Float32(eta - Float32(sinTheta_O * t_0))))))
end

Derivation

1. Initial program 93.5%

   \[\sin^{-1} \left(\frac{h}{\sqrt{eta \cdot eta - \frac{sinTheta\_O \cdot sinTheta\_O}{\sqrt{1 - sinTheta\_O \cdot sinTheta\_O}}}}\right) \]
2. Add Preprocessing
3. Step-by-step derivation

   1. add-sqr-sqrt 93.5%

      \[\leadsto \sin^{-1} \left(\frac{h}{\sqrt{eta \cdot eta - \color{blue}{\sqrt{\frac{sinTheta\_O \cdot sinTheta\_O}{\sqrt{1 - sinTheta\_O \cdot sinTheta\_O}}} \cdot \sqrt{\frac{sinTheta\_O \cdot sinTheta\_O}{\sqrt{1 - sinTheta\_O \cdot sinTheta\_O}}}}}}\right) \]

   2. difference-of-squares 93.5%

      \[\leadsto \sin^{-1} \left(\frac{h}{\sqrt{\color{blue}{\left(eta + \sqrt{\frac{sinTheta\_O \cdot sinTheta\_O}{\sqrt{1 - sinTheta\_O \cdot sinTheta\_O}}}\right) \cdot \left(eta - \sqrt{\frac{sinTheta\_O \cdot sinTheta\_O}{\sqrt{1 - sinTheta\_O \cdot sinTheta\_O}}}\right)}}}\right) \]

   3. sqrt-div 93.5%

      \[\leadsto \sin^{-1} \left(\frac{h}{\sqrt{\left(eta + \color{blue}{\frac{\sqrt{sinTheta\_O \cdot sinTheta\_O}}{\sqrt{\sqrt{1 - sinTheta\_O \cdot sinTheta\_O}}}}\right) \cdot \left(eta - \sqrt{\frac{sinTheta\_O \cdot sinTheta\_O}{\sqrt{1 - sinTheta\_O \cdot sinTheta\_O}}}\right)}}\right) \]

   4. sqrt-prod 52.4%

      \[\leadsto \sin^{-1} \left(\frac{h}{\sqrt{\left(eta + \frac{\color{blue}{\sqrt{sinTheta\_O} \cdot \sqrt{sinTheta\_O}}}{\sqrt{\sqrt{1 - sinTheta\_O \cdot sinTheta\_O}}}\right) \cdot \left(eta - \sqrt{\frac{sinTheta\_O \cdot sinTheta\_O}{\sqrt{1 - sinTheta\_O \cdot sinTheta\_O}}}\right)}}\right) \]

   5. add-sqr-sqrt 89.4%

      \[\leadsto \sin^{-1} \left(\frac{h}{\sqrt{\left(eta + \frac{\color{blue}{sinTheta\_O}}{\sqrt{\sqrt{1 - sinTheta\_O \cdot sinTheta\_O}}}\right) \cdot \left(eta - \sqrt{\frac{sinTheta\_O \cdot sinTheta\_O}{\sqrt{1 - sinTheta\_O \cdot sinTheta\_O}}}\right)}}\right) \]

   6. pow1/2 89.4%

      \[\leadsto \sin^{-1} \left(\frac{h}{\sqrt{\left(eta + \frac{sinTheta\_O}{\sqrt{\color{blue}{{\left(1 - sinTheta\_O \cdot sinTheta\_O\right)}^{0.5}}}}\right) \cdot \left(eta - \sqrt{\frac{sinTheta\_O \cdot sinTheta\_O}{\sqrt{1 - sinTheta\_O \cdot sinTheta\_O}}}\right)}}\right) \]

   7. sqrt-pow1 89.4%

      \[\leadsto \sin^{-1} \left(\frac{h}{\sqrt{\left(eta + \frac{sinTheta\_O}{\color{blue}{{\left(1 - sinTheta\_O \cdot sinTheta\_O\right)}^{\left(\frac{0.5}{2}\right)}}}\right) \cdot \left(eta - \sqrt{\frac{sinTheta\_O \cdot sinTheta\_O}{\sqrt{1 - sinTheta\_O \cdot sinTheta\_O}}}\right)}}\right) \]

   8. pow2 89.4%

      \[\leadsto \sin^{-1} \left(\frac{h}{\sqrt{\left(eta + \frac{sinTheta\_O}{{\left(1 - \color{blue}{{sinTheta\_O}^{2}}\right)}^{\left(\frac{0.5}{2}\right)}}\right) \cdot \left(eta - \sqrt{\frac{sinTheta\_O \cdot sinTheta\_O}{\sqrt{1 - sinTheta\_O \cdot sinTheta\_O}}}\right)}}\right) \]

   9. metadata-eval 89.4%

      \[\leadsto \sin^{-1} \left(\frac{h}{\sqrt{\left(eta + \frac{sinTheta\_O}{{\left(1 - {sinTheta\_O}^{2}\right)}^{\color{blue}{0.25}}}\right) \cdot \left(eta - \sqrt{\frac{sinTheta\_O \cdot sinTheta\_O}{\sqrt{1 - sinTheta\_O \cdot sinTheta\_O}}}\right)}}\right) \]

   10. sqrt-div 89.4%

       \[\leadsto \sin^{-1} \left(\frac{h}{\sqrt{\left(eta + \frac{sinTheta\_O}{{\left(1 - {sinTheta\_O}^{2}\right)}^{0.25}}\right) \cdot \left(eta - \color{blue}{\frac{\sqrt{sinTheta\_O \cdot sinTheta\_O}}{\sqrt{\sqrt{1 - sinTheta\_O \cdot sinTheta\_O}}}}\right)}}\right) \]

   11. sqrt-prod 52.7%

       \[\leadsto \sin^{-1} \left(\frac{h}{\sqrt{\left(eta + \frac{sinTheta\_O}{{\left(1 - {sinTheta\_O}^{2}\right)}^{0.25}}\right) \cdot \left(eta - \frac{\color{blue}{\sqrt{sinTheta\_O} \cdot \sqrt{sinTheta\_O}}}{\sqrt{\sqrt{1 - sinTheta\_O \cdot sinTheta\_O}}}\right)}}\right) \]

   12. add-sqr-sqrt 93.5%

       \[\leadsto \sin^{-1} \left(\frac{h}{\sqrt{\left(eta + \frac{sinTheta\_O}{{\left(1 - {sinTheta\_O}^{2}\right)}^{0.25}}\right) \cdot \left(eta - \frac{\color{blue}{sinTheta\_O}}{\sqrt{\sqrt{1 - sinTheta\_O \cdot sinTheta\_O}}}\right)}}\right) \]

   13. pow1/2 93.5%

       \[\leadsto \sin^{-1} \left(\frac{h}{\sqrt{\left(eta + \frac{sinTheta\_O}{{\left(1 - {sinTheta\_O}^{2}\right)}^{0.25}}\right) \cdot \left(eta - \frac{sinTheta\_O}{\sqrt{\color{blue}{{\left(1 - sinTheta\_O \cdot sinTheta\_O\right)}^{0.5}}}}\right)}}\right) \]

   14. sqrt-pow1 93.5%

       \[\leadsto \sin^{-1} \left(\frac{h}{\sqrt{\left(eta + \frac{sinTheta\_O}{{\left(1 - {sinTheta\_O}^{2}\right)}^{0.25}}\right) \cdot \left(eta - \frac{sinTheta\_O}{\color{blue}{{\left(1 - sinTheta\_O \cdot sinTheta\_O\right)}^{\left(\frac{0.5}{2}\right)}}}\right)}}\right) \]

4. Applied egg-rr 93.5%

   \[\leadsto \sin^{-1} \left(\frac{h}{\sqrt{\color{blue}{\left(eta + \frac{sinTheta\_O}{{\left(1 - {sinTheta\_O}^{2}\right)}^{0.25}}\right) \cdot \left(eta - \frac{sinTheta\_O}{{\left(1 - {sinTheta\_O}^{2}\right)}^{0.25}}\right)}}}\right) \]
5. Step-by-step derivation

   1. sqrt-prod 98.6%

      \[\leadsto \sin^{-1} \left(\frac{h}{\color{blue}{\sqrt{eta + \frac{sinTheta\_O}{{\left(1 - {sinTheta\_O}^{2}\right)}^{0.25}}} \cdot \sqrt{eta - \frac{sinTheta\_O}{{\left(1 - {sinTheta\_O}^{2}\right)}^{0.25}}}}}\right) \]

   2. +-commutative 98.6%

      \[\leadsto \sin^{-1} \left(\frac{h}{\sqrt{\color{blue}{\frac{sinTheta\_O}{{\left(1 - {sinTheta\_O}^{2}\right)}^{0.25}} + eta}} \cdot \sqrt{eta - \frac{sinTheta\_O}{{\left(1 - {sinTheta\_O}^{2}\right)}^{0.25}}}}\right) \]

   3. div-inv 98.6%

      \[\leadsto \sin^{-1} \left(\frac{h}{\sqrt{\color{blue}{sinTheta\_O \cdot \frac{1}{{\left(1 - {sinTheta\_O}^{2}\right)}^{0.25}}} + eta} \cdot \sqrt{eta - \frac{sinTheta\_O}{{\left(1 - {sinTheta\_O}^{2}\right)}^{0.25}}}}\right) \]

   4. fma-define 98.6%

      \[\leadsto \sin^{-1} \left(\frac{h}{\sqrt{\color{blue}{\mathsf{fma}\left(sinTheta\_O, \frac{1}{{\left(1 - {sinTheta\_O}^{2}\right)}^{0.25}}, eta\right)}} \cdot \sqrt{eta - \frac{sinTheta\_O}{{\left(1 - {sinTheta\_O}^{2}\right)}^{0.25}}}}\right) \]

   5. pow-flip 98.6%

      \[\leadsto \sin^{-1} \left(\frac{h}{\sqrt{\mathsf{fma}\left(sinTheta\_O, \color{blue}{{\left(1 - {sinTheta\_O}^{2}\right)}^{\left(-0.25\right)}}, eta\right)} \cdot \sqrt{eta - \frac{sinTheta\_O}{{\left(1 - {sinTheta\_O}^{2}\right)}^{0.25}}}}\right) \]

   6. metadata-eval 98.6%

      \[\leadsto \sin^{-1} \left(\frac{h}{\sqrt{\mathsf{fma}\left(sinTheta\_O, {\left(1 - {sinTheta\_O}^{2}\right)}^{\color{blue}{-0.25}}, eta\right)} \cdot \sqrt{eta - \frac{sinTheta\_O}{{\left(1 - {sinTheta\_O}^{2}\right)}^{0.25}}}}\right) \]

   7. div-inv 98.6%

      \[\leadsto \sin^{-1} \left(\frac{h}{\sqrt{\mathsf{fma}\left(sinTheta\_O, {\left(1 - {sinTheta\_O}^{2}\right)}^{-0.25}, eta\right)} \cdot \sqrt{eta - \color{blue}{sinTheta\_O \cdot \frac{1}{{\left(1 - {sinTheta\_O}^{2}\right)}^{0.25}}}}}\right) \]

   8. pow-flip 98.6%

      \[\leadsto \sin^{-1} \left(\frac{h}{\sqrt{\mathsf{fma}\left(sinTheta\_O, {\left(1 - {sinTheta\_O}^{2}\right)}^{-0.25}, eta\right)} \cdot \sqrt{eta - sinTheta\_O \cdot \color{blue}{{\left(1 - {sinTheta\_O}^{2}\right)}^{\left(-0.25\right)}}}}\right) \]

   9. metadata-eval 98.6%

      \[\leadsto \sin^{-1} \left(\frac{h}{\sqrt{\mathsf{fma}\left(sinTheta\_O, {\left(1 - {sinTheta\_O}^{2}\right)}^{-0.25}, eta\right)} \cdot \sqrt{eta - sinTheta\_O \cdot {\left(1 - {sinTheta\_O}^{2}\right)}^{\color{blue}{-0.25}}}}\right) \]

6. Applied egg-rr 98.6%

   \[\leadsto \sin^{-1} \left(\frac{h}{\color{blue}{\sqrt{\mathsf{fma}\left(sinTheta\_O, {\left(1 - {sinTheta\_O}^{2}\right)}^{-0.25}, eta\right)} \cdot \sqrt{eta - sinTheta\_O \cdot {\left(1 - {sinTheta\_O}^{2}\right)}^{-0.25}}}}\right) \]

7. Final simplification 98.6%

   \[\leadsto \sin^{-1} \left(\frac{h}{\sqrt{\mathsf{fma}\left(sinTheta\_O, {\left(1 - {sinTheta\_O}^{2}\right)}^{-0.25}, eta\right)} \cdot \sqrt{eta - sinTheta\_O \cdot {\left(1 - {sinTheta\_O}^{2}\right)}^{-0.25}}}\right) \]
8. Add Preprocessing

Alternative 2: 97.7% accurate, 2.8× speedup

Math

\[\begin{array}{l} \\ \sin^{-1} \left(\frac{h}{eta + sinTheta\_O \cdot \left(sinTheta\_O \cdot \frac{-0.5}{eta}\right)}\right) \end{array} \]

FPCore

(FPCore (sinTheta_O h eta)
 :precision binary32
 (asin (/ h (+ eta (* sinTheta_O (* sinTheta_O (/ -0.5 eta)))))))

C

float code(float sinTheta_O, float h, float eta) {
	return asinf((h / (eta + (sinTheta_O * (sinTheta_O * (-0.5f / eta))))));
}

Fortran

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 * ((-0.5e0) / eta))))))
end function

Julia

function code(sinTheta_O, h, eta)
	return asin(Float32(h / Float32(eta + Float32(sinTheta_O * Float32(sinTheta_O * Float32(Float32(-0.5) / eta))))))
end

MATLAB

function tmp = code(sinTheta_O, h, eta)
	tmp = asin((h / (eta + (sinTheta_O * (sinTheta_O * (single(-0.5) / eta))))));
end

Derivation

1. Initial program 93.5%

   \[\sin^{-1} \left(\frac{h}{\sqrt{eta \cdot eta - \frac{sinTheta\_O \cdot sinTheta\_O}{\sqrt{1 - sinTheta\_O \cdot sinTheta\_O}}}}\right) \]
2. Add Preprocessing
3. Step-by-step derivation

   1. add-sqr-sqrt 93.5%

      \[\leadsto \sin^{-1} \left(\frac{h}{\sqrt{eta \cdot eta - \color{blue}{\sqrt{\frac{sinTheta\_O \cdot sinTheta\_O}{\sqrt{1 - sinTheta\_O \cdot sinTheta\_O}}} \cdot \sqrt{\frac{sinTheta\_O \cdot sinTheta\_O}{\sqrt{1 - sinTheta\_O \cdot sinTheta\_O}}}}}}\right) \]

   2. difference-of-squares 93.5%

      \[\leadsto \sin^{-1} \left(\frac{h}{\sqrt{\color{blue}{\left(eta + \sqrt{\frac{sinTheta\_O \cdot sinTheta\_O}{\sqrt{1 - sinTheta\_O \cdot sinTheta\_O}}}\right) \cdot \left(eta - \sqrt{\frac{sinTheta\_O \cdot sinTheta\_O}{\sqrt{1 - sinTheta\_O \cdot sinTheta\_O}}}\right)}}}\right) \]

   3. sqrt-div 93.5%

      \[\leadsto \sin^{-1} \left(\frac{h}{\sqrt{\left(eta + \color{blue}{\frac{\sqrt{sinTheta\_O \cdot sinTheta\_O}}{\sqrt{\sqrt{1 - sinTheta\_O \cdot sinTheta\_O}}}}\right) \cdot \left(eta - \sqrt{\frac{sinTheta\_O \cdot sinTheta\_O}{\sqrt{1 - sinTheta\_O \cdot sinTheta\_O}}}\right)}}\right) \]

   4. sqrt-prod 52.4%

      \[\leadsto \sin^{-1} \left(\frac{h}{\sqrt{\left(eta + \frac{\color{blue}{\sqrt{sinTheta\_O} \cdot \sqrt{sinTheta\_O}}}{\sqrt{\sqrt{1 - sinTheta\_O \cdot sinTheta\_O}}}\right) \cdot \left(eta - \sqrt{\frac{sinTheta\_O \cdot sinTheta\_O}{\sqrt{1 - sinTheta\_O \cdot sinTheta\_O}}}\right)}}\right) \]

   5. add-sqr-sqrt 89.4%

      \[\leadsto \sin^{-1} \left(\frac{h}{\sqrt{\left(eta + \frac{\color{blue}{sinTheta\_O}}{\sqrt{\sqrt{1 - sinTheta\_O \cdot sinTheta\_O}}}\right) \cdot \left(eta - \sqrt{\frac{sinTheta\_O \cdot sinTheta\_O}{\sqrt{1 - sinTheta\_O \cdot sinTheta\_O}}}\right)}}\right) \]

   6. pow1/2 89.4%

      \[\leadsto \sin^{-1} \left(\frac{h}{\sqrt{\left(eta + \frac{sinTheta\_O}{\sqrt{\color{blue}{{\left(1 - sinTheta\_O \cdot sinTheta\_O\right)}^{0.5}}}}\right) \cdot \left(eta - \sqrt{\frac{sinTheta\_O \cdot sinTheta\_O}{\sqrt{1 - sinTheta\_O \cdot sinTheta\_O}}}\right)}}\right) \]

   7. sqrt-pow1 89.4%

      \[\leadsto \sin^{-1} \left(\frac{h}{\sqrt{\left(eta + \frac{sinTheta\_O}{\color{blue}{{\left(1 - sinTheta\_O \cdot sinTheta\_O\right)}^{\left(\frac{0.5}{2}\right)}}}\right) \cdot \left(eta - \sqrt{\frac{sinTheta\_O \cdot sinTheta\_O}{\sqrt{1 - sinTheta\_O \cdot sinTheta\_O}}}\right)}}\right) \]

   8. pow2 89.4%

      \[\leadsto \sin^{-1} \left(\frac{h}{\sqrt{\left(eta + \frac{sinTheta\_O}{{\left(1 - \color{blue}{{sinTheta\_O}^{2}}\right)}^{\left(\frac{0.5}{2}\right)}}\right) \cdot \left(eta - \sqrt{\frac{sinTheta\_O \cdot sinTheta\_O}{\sqrt{1 - sinTheta\_O \cdot sinTheta\_O}}}\right)}}\right) \]

   9. metadata-eval 89.4%

      \[\leadsto \sin^{-1} \left(\frac{h}{\sqrt{\left(eta + \frac{sinTheta\_O}{{\left(1 - {sinTheta\_O}^{2}\right)}^{\color{blue}{0.25}}}\right) \cdot \left(eta - \sqrt{\frac{sinTheta\_O \cdot sinTheta\_O}{\sqrt{1 - sinTheta\_O \cdot sinTheta\_O}}}\right)}}\right) \]

   10. sqrt-div 89.4%

       \[\leadsto \sin^{-1} \left(\frac{h}{\sqrt{\left(eta + \frac{sinTheta\_O}{{\left(1 - {sinTheta\_O}^{2}\right)}^{0.25}}\right) \cdot \left(eta - \color{blue}{\frac{\sqrt{sinTheta\_O \cdot sinTheta\_O}}{\sqrt{\sqrt{1 - sinTheta\_O \cdot sinTheta\_O}}}}\right)}}\right) \]

   11. sqrt-prod 52.7%

       \[\leadsto \sin^{-1} \left(\frac{h}{\sqrt{\left(eta + \frac{sinTheta\_O}{{\left(1 - {sinTheta\_O}^{2}\right)}^{0.25}}\right) \cdot \left(eta - \frac{\color{blue}{\sqrt{sinTheta\_O} \cdot \sqrt{sinTheta\_O}}}{\sqrt{\sqrt{1 - sinTheta\_O \cdot sinTheta\_O}}}\right)}}\right) \]

   12. add-sqr-sqrt 93.5%

       \[\leadsto \sin^{-1} \left(\frac{h}{\sqrt{\left(eta + \frac{sinTheta\_O}{{\left(1 - {sinTheta\_O}^{2}\right)}^{0.25}}\right) \cdot \left(eta - \frac{\color{blue}{sinTheta\_O}}{\sqrt{\sqrt{1 - sinTheta\_O \cdot sinTheta\_O}}}\right)}}\right) \]

   13. pow1/2 93.5%

       \[\leadsto \sin^{-1} \left(\frac{h}{\sqrt{\left(eta + \frac{sinTheta\_O}{{\left(1 - {sinTheta\_O}^{2}\right)}^{0.25}}\right) \cdot \left(eta - \frac{sinTheta\_O}{\sqrt{\color{blue}{{\left(1 - sinTheta\_O \cdot sinTheta\_O\right)}^{0.5}}}}\right)}}\right) \]

   14. sqrt-pow1 93.5%

       \[\leadsto \sin^{-1} \left(\frac{h}{\sqrt{\left(eta + \frac{sinTheta\_O}{{\left(1 - {sinTheta\_O}^{2}\right)}^{0.25}}\right) \cdot \left(eta - \frac{sinTheta\_O}{\color{blue}{{\left(1 - sinTheta\_O \cdot sinTheta\_O\right)}^{\left(\frac{0.5}{2}\right)}}}\right)}}\right) \]

4. Applied egg-rr 93.5%

   \[\leadsto \sin^{-1} \left(\frac{h}{\sqrt{\color{blue}{\left(eta + \frac{sinTheta\_O}{{\left(1 - {sinTheta\_O}^{2}\right)}^{0.25}}\right) \cdot \left(eta - \frac{sinTheta\_O}{{\left(1 - {sinTheta\_O}^{2}\right)}^{0.25}}\right)}}}\right) \]
5. Step-by-step derivation

   1. sqrt-prod 98.6%

      \[\leadsto \sin^{-1} \left(\frac{h}{\color{blue}{\sqrt{eta + \frac{sinTheta\_O}{{\left(1 - {sinTheta\_O}^{2}\right)}^{0.25}}} \cdot \sqrt{eta - \frac{sinTheta\_O}{{\left(1 - {sinTheta\_O}^{2}\right)}^{0.25}}}}}\right) \]

   2. +-commutative 98.6%

      \[\leadsto \sin^{-1} \left(\frac{h}{\sqrt{\color{blue}{\frac{sinTheta\_O}{{\left(1 - {sinTheta\_O}^{2}\right)}^{0.25}} + eta}} \cdot \sqrt{eta - \frac{sinTheta\_O}{{\left(1 - {sinTheta\_O}^{2}\right)}^{0.25}}}}\right) \]

   3. div-inv 98.6%

      \[\leadsto \sin^{-1} \left(\frac{h}{\sqrt{\color{blue}{sinTheta\_O \cdot \frac{1}{{\left(1 - {sinTheta\_O}^{2}\right)}^{0.25}}} + eta} \cdot \sqrt{eta - \frac{sinTheta\_O}{{\left(1 - {sinTheta\_O}^{2}\right)}^{0.25}}}}\right) \]

   4. fma-define 98.6%

      \[\leadsto \sin^{-1} \left(\frac{h}{\sqrt{\color{blue}{\mathsf{fma}\left(sinTheta\_O, \frac{1}{{\left(1 - {sinTheta\_O}^{2}\right)}^{0.25}}, eta\right)}} \cdot \sqrt{eta - \frac{sinTheta\_O}{{\left(1 - {sinTheta\_O}^{2}\right)}^{0.25}}}}\right) \]

   5. pow-flip 98.6%

      \[\leadsto \sin^{-1} \left(\frac{h}{\sqrt{\mathsf{fma}\left(sinTheta\_O, \color{blue}{{\left(1 - {sinTheta\_O}^{2}\right)}^{\left(-0.25\right)}}, eta\right)} \cdot \sqrt{eta - \frac{sinTheta\_O}{{\left(1 - {sinTheta\_O}^{2}\right)}^{0.25}}}}\right) \]

   6. metadata-eval 98.6%

      \[\leadsto \sin^{-1} \left(\frac{h}{\sqrt{\mathsf{fma}\left(sinTheta\_O, {\left(1 - {sinTheta\_O}^{2}\right)}^{\color{blue}{-0.25}}, eta\right)} \cdot \sqrt{eta - \frac{sinTheta\_O}{{\left(1 - {sinTheta\_O}^{2}\right)}^{0.25}}}}\right) \]

   7. div-inv 98.6%

      \[\leadsto \sin^{-1} \left(\frac{h}{\sqrt{\mathsf{fma}\left(sinTheta\_O, {\left(1 - {sinTheta\_O}^{2}\right)}^{-0.25}, eta\right)} \cdot \sqrt{eta - \color{blue}{sinTheta\_O \cdot \frac{1}{{\left(1 - {sinTheta\_O}^{2}\right)}^{0.25}}}}}\right) \]

   8. pow-flip 98.6%

      \[\leadsto \sin^{-1} \left(\frac{h}{\sqrt{\mathsf{fma}\left(sinTheta\_O, {\left(1 - {sinTheta\_O}^{2}\right)}^{-0.25}, eta\right)} \cdot \sqrt{eta - sinTheta\_O \cdot \color{blue}{{\left(1 - {sinTheta\_O}^{2}\right)}^{\left(-0.25\right)}}}}\right) \]

   9. metadata-eval 98.6%

      \[\leadsto \sin^{-1} \left(\frac{h}{\sqrt{\mathsf{fma}\left(sinTheta\_O, {\left(1 - {sinTheta\_O}^{2}\right)}^{-0.25}, eta\right)} \cdot \sqrt{eta - sinTheta\_O \cdot {\left(1 - {sinTheta\_O}^{2}\right)}^{\color{blue}{-0.25}}}}\right) \]

6. Applied egg-rr 98.6%

   \[\leadsto \sin^{-1} \left(\frac{h}{\color{blue}{\sqrt{\mathsf{fma}\left(sinTheta\_O, {\left(1 - {sinTheta\_O}^{2}\right)}^{-0.25}, eta\right)} \cdot \sqrt{eta - sinTheta\_O \cdot {\left(1 - {sinTheta\_O}^{2}\right)}^{-0.25}}}}\right) \]

7. Taylor expanded in sinTheta_O around 0 93.1%

   \[\leadsto \sin^{-1} \left(\frac{h}{\color{blue}{eta + sinTheta\_O \cdot \left(0.5 \cdot \frac{eta + -1 \cdot eta}{eta} + sinTheta\_O \cdot \left(-0.5 \cdot \frac{1 + 0.25 \cdot \frac{{\left(eta + -1 \cdot eta\right)}^{2}}{{eta}^{2}}}{eta} + 0.5 \cdot \frac{sinTheta\_O \cdot \left(\left(-0.25 \cdot eta + 0.25 \cdot eta\right) - -0.5 \cdot \frac{\left(1 + 0.25 \cdot \frac{{\left(eta + -1 \cdot eta\right)}^{2}}{{eta}^{2}}\right) \cdot \left(eta + -1 \cdot eta\right)}{{eta}^{2}}\right)}{eta}\right)\right)}}\right) \]

9. Simplified 97.6%

   \[\leadsto \sin^{-1} \left(\frac{h}{\color{blue}{eta + \left(0 + sinTheta\_O \cdot \left(sinTheta\_O \cdot \frac{-0.5}{eta} + 0\right)\right)}}\right) \]

10. Final simplification 97.6%

    \[\leadsto \sin^{-1} \left(\frac{h}{eta + sinTheta\_O \cdot \left(sinTheta\_O \cdot \frac{-0.5}{eta}\right)}\right) \]
11. Add Preprocessing

Alternative 3: 95.1% accurate, 3.1× speedup

Math

\[\begin{array}{l} \\ \sin^{-1} \left(\frac{h}{eta}\right) \end{array} \]

FPCore

(FPCore (sinTheta_O h eta) :precision binary32 (asin (/ h eta)))

C

float code(float sinTheta_O, float h, float eta) {
	return asinf((h / eta));
}

Fortran

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))
end function

Julia

function code(sinTheta_O, h, eta)
	return asin(Float32(h / eta))
end

MATLAB

function tmp = code(sinTheta_O, h, eta)
	tmp = asin((h / eta));
end

Derivation

1. Initial program 93.5%

   \[\sin^{-1} \left(\frac{h}{\sqrt{eta \cdot eta - \frac{sinTheta\_O \cdot sinTheta\_O}{\sqrt{1 - sinTheta\_O \cdot sinTheta\_O}}}}\right) \]
2. Add Preprocessing

3. Taylor expanded in eta around inf 94.2%

   \[\leadsto \sin^{-1} \left(\frac{h}{\color{blue}{eta}}\right) \]

4. Final simplification 94.2%

   \[\leadsto \sin^{-1} \left(\frac{h}{eta}\right) \]
5. Add Preprocessing

Reproduce

herbie shell --seed 2024080 
(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)))))))))