Beckmann Distribution sample, tan2theta, alphax != alphay, u1 <= 0.5

Average Error: 12.6 → 0.5

Time: 18.1s

Precision: binary32

Cost: 3776

\[\left(\left(\left(\left(0.0001 \leq alphax \land alphax \leq 1\right) \land \left(0.0001 \leq alphay \land alphay \leq 1\right)\right) \land \left(2.328306437 \cdot 10^{-10} \leq u0 \land u0 \leq 1\right)\right) \land \left(0 \leq cos2phi \land cos2phi \leq 1\right)\right) \land 0 \leq sin2phi\]

Math

\[\frac{-\log \left(1 - u0\right)}{\frac{cos2phi}{alphax \cdot alphax} + \frac{sin2phi}{alphay \cdot alphay}} \]

↓

\[\frac{-\mathsf{log1p}\left(-u0\right)}{cos2phi \cdot \frac{\frac{-1}{alphax}}{-alphax} + \frac{sin2phi}{alphay \cdot alphay}} \]

FPCore

(FPCore (alphax alphay u0 cos2phi sin2phi)
 :precision binary32
 (/
  (- (log (- 1.0 u0)))
  (+ (/ cos2phi (* alphax alphax)) (/ sin2phi (* alphay alphay)))))

↓

(FPCore (alphax alphay u0 cos2phi sin2phi)
 :precision binary32
 (/
  (- (log1p (- u0)))
  (+
   (* cos2phi (/ (/ -1.0 alphax) (- alphax)))
   (/ sin2phi (* alphay alphay)))))

C

float code(float alphax, float alphay, float u0, float cos2phi, float sin2phi) {
	return -logf((1.0f - u0)) / ((cos2phi / (alphax * alphax)) + (sin2phi / (alphay * alphay)));
}

↓

float code(float alphax, float alphay, float u0, float cos2phi, float sin2phi) {
	return -log1pf(-u0) / ((cos2phi * ((-1.0f / alphax) / -alphax)) + (sin2phi / (alphay * alphay)));
}

Julia

function code(alphax, alphay, u0, cos2phi, sin2phi)
	return Float32(Float32(-log(Float32(Float32(1.0) - u0))) / Float32(Float32(cos2phi / Float32(alphax * alphax)) + Float32(sin2phi / Float32(alphay * alphay))))
end

↓

function code(alphax, alphay, u0, cos2phi, sin2phi)
	return Float32(Float32(-log1p(Float32(-u0))) / Float32(Float32(cos2phi * Float32(Float32(Float32(-1.0) / alphax) / Float32(-alphax))) + Float32(sin2phi / Float32(alphay * alphay))))
end

Derivation

1. Initial program 12.6

   \[\frac{-\log \left(1 - u0\right)}{\frac{cos2phi}{alphax \cdot alphax} + \frac{sin2phi}{alphay \cdot alphay}} \]

2. Simplified 0.5

   \[\leadsto \color{blue}{\frac{-\mathsf{log1p}\left(-u0\right)}{\frac{cos2phi}{alphax \cdot alphax} + \frac{sin2phi}{alphay \cdot alphay}}} \]
   Proof

   [Start] 12.6	\[ \frac{-\log \left(1 - u0\right)}{\frac{cos2phi}{alphax \cdot alphax} + \frac{sin2phi}{alphay \cdot alphay}} \]
   sub-neg [=>] 12.6	\[ \frac{-\log \color{blue}{\left(1 + \left(-u0\right)\right)}}{\frac{cos2phi}{alphax \cdot alphax} + \frac{sin2phi}{alphay \cdot alphay}} \]
   log1p-def [=>] 0.5	\[ \frac{-\color{blue}{\mathsf{log1p}\left(-u0\right)}}{\frac{cos2phi}{alphax \cdot alphax} + \frac{sin2phi}{alphay \cdot alphay}} \]

3. Applied egg-rr 0.5

   \[\leadsto \frac{-\mathsf{log1p}\left(-u0\right)}{\color{blue}{\left(-cos2phi\right) \cdot \frac{1}{alphax \cdot \left(-alphax\right)}} + \frac{sin2phi}{alphay \cdot alphay}} \]

4. Simplified 0.5

   \[\leadsto \frac{-\mathsf{log1p}\left(-u0\right)}{\color{blue}{\left(-cos2phi\right) \cdot \frac{\frac{1}{alphax}}{-alphax}} + \frac{sin2phi}{alphay \cdot alphay}} \]
   Proof

   [Start] 0.5	\[ \frac{-\mathsf{log1p}\left(-u0\right)}{\left(-cos2phi\right) \cdot \frac{1}{alphax \cdot \left(-alphax\right)} + \frac{sin2phi}{alphay \cdot alphay}} \]
   associate-/r* [=>] 0.5	\[ \frac{-\mathsf{log1p}\left(-u0\right)}{\left(-cos2phi\right) \cdot \color{blue}{\frac{\frac{1}{alphax}}{-alphax}} + \frac{sin2phi}{alphay \cdot alphay}} \]

5. Final simplification 0.5

   \[\leadsto \frac{-\mathsf{log1p}\left(-u0\right)}{cos2phi \cdot \frac{\frac{-1}{alphax}}{-alphax} + \frac{sin2phi}{alphay \cdot alphay}} \]

Alternatives

Alternative 1
Error	0.5
Cost	3744

\[\frac{-\mathsf{log1p}\left(-u0\right)}{\frac{sin2phi}{alphay \cdot alphay} + \frac{1}{alphax} \cdot \frac{cos2phi}{alphax}} \]

Alternative 2
Error	4.1
Cost	3684

\[\begin{array}{l} t_0 := \frac{sin2phi}{alphay \cdot alphay}\\ \mathbf{if}\;t_0 \leq 4.999999873689376 \cdot 10^{-5}:\\ \;\;\;\;\frac{u0}{cos2phi \cdot \frac{\frac{-1}{alphax}}{-alphax} + t_0}\\ \mathbf{else}:\\ \;\;\;\;\frac{-\mathsf{log1p}\left(-u0\right)}{t_0}\\ \end{array} \]

Alternative 3
Error	4.0
Cost	3684

\[\begin{array}{l} t_0 := \frac{sin2phi}{alphay \cdot alphay}\\ \mathbf{if}\;t_0 \leq 4.999999873689376 \cdot 10^{-5}:\\ \;\;\;\;\frac{u0}{t_0 - cos2phi \cdot \frac{\frac{1}{alphax}}{-alphax}}\\ \mathbf{else}:\\ \;\;\;\;\frac{alphay \cdot \left(\mathsf{log1p}\left(-u0\right) \cdot \left(-alphay\right)\right)}{sin2phi}\\ \end{array} \]

Alternative 4
Error	0.5
Cost	3680

\[\frac{-\mathsf{log1p}\left(-u0\right)}{\frac{sin2phi}{alphay \cdot alphay} + \frac{cos2phi}{alphax \cdot alphax}} \]

Alternative 5
Error	0.5
Cost	3680

\[\frac{-\mathsf{log1p}\left(-u0\right)}{\frac{cos2phi}{alphax \cdot alphax} + \frac{\frac{sin2phi}{alphay}}{alphay}} \]

Alternative 6
Error	0.5
Cost	3680

\[\frac{-\mathsf{log1p}\left(-u0\right)}{\frac{sin2phi}{alphay \cdot alphay} + \frac{\frac{cos2phi}{alphax}}{alphax}} \]

Alternative 7
Error	7.7
Cost	736

\[\frac{u0}{sin2phi \cdot \left(-alphax \cdot alphax\right) - cos2phi \cdot \left(alphay \cdot alphay\right)} \cdot \left(\left(alphax \cdot alphax\right) \cdot \left(alphay \cdot \left(-alphay\right)\right)\right) \]

Alternative 8
Error	7.6
Cost	608

\[\frac{u0}{alphax \cdot sin2phi + \left(alphay \cdot alphay\right) \cdot \frac{cos2phi}{alphax}} \cdot \left(alphax \cdot \left(alphay \cdot alphay\right)\right) \]

Alternative 9
Error	10.8
Cost	548

\[\begin{array}{l} \mathbf{if}\;\frac{sin2phi}{alphay \cdot alphay} \leq 5.999999802552836 \cdot 10^{-11}:\\ \;\;\;\;\left(alphax \cdot alphay\right) \cdot \frac{u0 \cdot alphax}{cos2phi \cdot alphay}\\ \mathbf{else}:\\ \;\;\;\;\frac{u0 \cdot \left(alphay \cdot alphay\right)}{sin2phi}\\ \end{array} \]

Alternative 10
Error	7.6
Cost	544

\[\left(alphax \cdot alphay\right) \cdot \frac{u0}{sin2phi \cdot \frac{alphax}{alphay} + alphay \cdot \frac{cos2phi}{alphax}} \]

Alternative 11
Error	7.6
Cost	544

\[\frac{u0}{\frac{alphax \cdot sin2phi}{alphay} + \frac{cos2phi \cdot alphay}{alphax}} \cdot \left(alphax \cdot alphay\right) \]

Alternative 12
Error	7.7
Cost	480

\[\frac{u0}{\frac{sin2phi}{alphay \cdot alphay} + \frac{1}{alphax} \cdot \frac{cos2phi}{alphax}} \]

Alternative 13
Error	10.8
Cost	420

\[\begin{array}{l} \mathbf{if}\;\frac{sin2phi}{alphay \cdot alphay} \leq 5.999999802552836 \cdot 10^{-11}:\\ \;\;\;\;\frac{alphax}{\frac{\frac{cos2phi}{alphax}}{u0}}\\ \mathbf{else}:\\ \;\;\;\;\left(alphay \cdot alphay\right) \cdot \frac{u0}{sin2phi}\\ \end{array} \]

Alternative 14
Error	10.8
Cost	420

\[\begin{array}{l} \mathbf{if}\;\frac{sin2phi}{alphay \cdot alphay} \leq 5.999999802552836 \cdot 10^{-11}:\\ \;\;\;\;\frac{alphax}{\frac{\frac{cos2phi}{alphax}}{u0}}\\ \mathbf{else}:\\ \;\;\;\;\frac{u0 \cdot \left(alphay \cdot alphay\right)}{sin2phi}\\ \end{array} \]

Alternative 15
Error	7.7
Cost	416

\[\frac{u0}{\frac{sin2phi}{alphay \cdot alphay} + \frac{cos2phi}{alphax \cdot alphax}} \]

Alternative 16
Error	10.6
Cost	292

\[\begin{array}{l} \mathbf{if}\;sin2phi \leq 9.999999682655225 \cdot 10^{-20}:\\ \;\;\;\;\left(alphax \cdot alphax\right) \cdot \frac{u0}{cos2phi}\\ \mathbf{else}:\\ \;\;\;\;\left(alphay \cdot alphay\right) \cdot \frac{u0}{sin2phi}\\ \end{array} \]

Alternative 17
Error	24.3
Cost	224

\[alphax \cdot \frac{alphax}{\frac{cos2phi}{u0}} \]

Alternative 18
Error	24.3
Cost	224

\[u0 \cdot \left(alphax \cdot \frac{alphax}{cos2phi}\right) \]

Alternative 19
Error	24.3
Cost	224

\[u0 \cdot \frac{alphax}{\frac{cos2phi}{alphax}} \]

Alternative 20
Error	24.3
Cost	224

\[\left(alphax \cdot alphax\right) \cdot \frac{u0}{cos2phi} \]

Reproduce

herbie shell --seed 2023025 
(FPCore (alphax alphay u0 cos2phi sin2phi)
  :name "Beckmann Distribution sample, tan2theta, alphax != alphay, u1 <= 0.5"
  :precision binary32
  :pre (and (and (and (and (and (<= 0.0001 alphax) (<= alphax 1.0)) (and (<= 0.0001 alphay) (<= alphay 1.0))) (and (<= 2.328306437e-10 u0) (<= u0 1.0))) (and (<= 0.0 cos2phi) (<= cos2phi 1.0))) (<= 0.0 sin2phi))
  (/ (- (log (- 1.0 u0))) (+ (/ cos2phi (* alphax alphax)) (/ sin2phi (* alphay alphay)))))