
(FPCore (u0 u1 alphax alphay)
:precision binary32
(let* ((t_0
(atan (* (/ alphay alphax) (tan (+ (* (* 2.0 PI) u1) (* 0.5 PI))))))
(t_1 (sin t_0))
(t_2 (cos t_0)))
(/
1.0
(sqrt
(+
1.0
(/
(*
(/
1.0
(+
(/ (* t_2 t_2) (* alphax alphax))
(/ (* t_1 t_1) (* alphay alphay))))
u0)
(- 1.0 u0)))))))
float code(float u0, float u1, float alphax, float alphay) {
float t_0 = atanf(((alphay / alphax) * tanf((((2.0f * ((float) M_PI)) * u1) + (0.5f * ((float) M_PI))))));
float t_1 = sinf(t_0);
float t_2 = cosf(t_0);
return 1.0f / sqrtf((1.0f + (((1.0f / (((t_2 * t_2) / (alphax * alphax)) + ((t_1 * t_1) / (alphay * alphay)))) * u0) / (1.0f - u0))));
}
function code(u0, u1, alphax, alphay) t_0 = atan(Float32(Float32(alphay / alphax) * tan(Float32(Float32(Float32(Float32(2.0) * Float32(pi)) * u1) + Float32(Float32(0.5) * Float32(pi)))))) t_1 = sin(t_0) t_2 = cos(t_0) return Float32(Float32(1.0) / sqrt(Float32(Float32(1.0) + Float32(Float32(Float32(Float32(1.0) / Float32(Float32(Float32(t_2 * t_2) / Float32(alphax * alphax)) + Float32(Float32(t_1 * t_1) / Float32(alphay * alphay)))) * u0) / Float32(Float32(1.0) - u0))))) end
function tmp = code(u0, u1, alphax, alphay) t_0 = atan(((alphay / alphax) * tan((((single(2.0) * single(pi)) * u1) + (single(0.5) * single(pi)))))); t_1 = sin(t_0); t_2 = cos(t_0); tmp = single(1.0) / sqrt((single(1.0) + (((single(1.0) / (((t_2 * t_2) / (alphax * alphax)) + ((t_1 * t_1) / (alphay * alphay)))) * u0) / (single(1.0) - u0)))); end
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \tan^{-1} \left(\frac{alphay}{alphax} \cdot \tan \left(\left(2 \cdot \pi\right) \cdot u1 + 0.5 \cdot \pi\right)\right)\\
t_1 := \sin t\_0\\
t_2 := \cos t\_0\\
\frac{1}{\sqrt{1 + \frac{\frac{1}{\frac{t\_2 \cdot t\_2}{alphax \cdot alphax} + \frac{t\_1 \cdot t\_1}{alphay \cdot alphay}} \cdot u0}{1 - u0}}}
\end{array}
\end{array}
Sampling outcomes in binary32 precision:
Herbie found 8 alternatives:
| Alternative | Accuracy | Speedup |
|---|
(FPCore (u0 u1 alphax alphay)
:precision binary32
(let* ((t_0
(atan (* (/ alphay alphax) (tan (+ (* (* 2.0 PI) u1) (* 0.5 PI))))))
(t_1 (sin t_0))
(t_2 (cos t_0)))
(/
1.0
(sqrt
(+
1.0
(/
(*
(/
1.0
(+
(/ (* t_2 t_2) (* alphax alphax))
(/ (* t_1 t_1) (* alphay alphay))))
u0)
(- 1.0 u0)))))))
float code(float u0, float u1, float alphax, float alphay) {
float t_0 = atanf(((alphay / alphax) * tanf((((2.0f * ((float) M_PI)) * u1) + (0.5f * ((float) M_PI))))));
float t_1 = sinf(t_0);
float t_2 = cosf(t_0);
return 1.0f / sqrtf((1.0f + (((1.0f / (((t_2 * t_2) / (alphax * alphax)) + ((t_1 * t_1) / (alphay * alphay)))) * u0) / (1.0f - u0))));
}
function code(u0, u1, alphax, alphay) t_0 = atan(Float32(Float32(alphay / alphax) * tan(Float32(Float32(Float32(Float32(2.0) * Float32(pi)) * u1) + Float32(Float32(0.5) * Float32(pi)))))) t_1 = sin(t_0) t_2 = cos(t_0) return Float32(Float32(1.0) / sqrt(Float32(Float32(1.0) + Float32(Float32(Float32(Float32(1.0) / Float32(Float32(Float32(t_2 * t_2) / Float32(alphax * alphax)) + Float32(Float32(t_1 * t_1) / Float32(alphay * alphay)))) * u0) / Float32(Float32(1.0) - u0))))) end
function tmp = code(u0, u1, alphax, alphay) t_0 = atan(((alphay / alphax) * tan((((single(2.0) * single(pi)) * u1) + (single(0.5) * single(pi)))))); t_1 = sin(t_0); t_2 = cos(t_0); tmp = single(1.0) / sqrt((single(1.0) + (((single(1.0) / (((t_2 * t_2) / (alphax * alphax)) + ((t_1 * t_1) / (alphay * alphay)))) * u0) / (single(1.0) - u0)))); end
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \tan^{-1} \left(\frac{alphay}{alphax} \cdot \tan \left(\left(2 \cdot \pi\right) \cdot u1 + 0.5 \cdot \pi\right)\right)\\
t_1 := \sin t\_0\\
t_2 := \cos t\_0\\
\frac{1}{\sqrt{1 + \frac{\frac{1}{\frac{t\_2 \cdot t\_2}{alphax \cdot alphax} + \frac{t\_1 \cdot t\_1}{alphay \cdot alphay}} \cdot u0}{1 - u0}}}
\end{array}
\end{array}
(FPCore (u0 u1 alphax alphay)
:precision binary32
(let* ((t_0 (tan (* PI (fma 2.0 u1 0.5)))))
(/
1.0
(sqrt
(+
1.0
(/
(*
(/
1.0
(+
(/
(/ 1.0 (+ 1.0 (pow (* (/ alphay alphax) t_0) 2.0)))
(* alphax alphax))
(/
(*
(sin (atan (/ (* alphay t_0) alphax)))
(sin
(atan
(* (/ alphay alphax) (tan (+ (* u1 (* PI 2.0)) (* PI 0.5)))))))
(* alphay alphay))))
u0)
(- 1.0 u0)))))))
float code(float u0, float u1, float alphax, float alphay) {
float t_0 = tanf((((float) M_PI) * fmaf(2.0f, u1, 0.5f)));
return 1.0f / sqrtf((1.0f + (((1.0f / (((1.0f / (1.0f + powf(((alphay / alphax) * t_0), 2.0f))) / (alphax * alphax)) + ((sinf(atanf(((alphay * t_0) / alphax))) * sinf(atanf(((alphay / alphax) * tanf(((u1 * (((float) M_PI) * 2.0f)) + (((float) M_PI) * 0.5f))))))) / (alphay * alphay)))) * u0) / (1.0f - u0))));
}
function code(u0, u1, alphax, alphay) t_0 = tan(Float32(Float32(pi) * fma(Float32(2.0), u1, Float32(0.5)))) return Float32(Float32(1.0) / sqrt(Float32(Float32(1.0) + Float32(Float32(Float32(Float32(1.0) / Float32(Float32(Float32(Float32(1.0) / Float32(Float32(1.0) + (Float32(Float32(alphay / alphax) * t_0) ^ Float32(2.0)))) / Float32(alphax * alphax)) + Float32(Float32(sin(atan(Float32(Float32(alphay * t_0) / alphax))) * sin(atan(Float32(Float32(alphay / alphax) * tan(Float32(Float32(u1 * Float32(Float32(pi) * Float32(2.0))) + Float32(Float32(pi) * Float32(0.5)))))))) / Float32(alphay * alphay)))) * u0) / Float32(Float32(1.0) - u0))))) end
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \tan \left(\pi \cdot \mathsf{fma}\left(2, u1, 0.5\right)\right)\\
\frac{1}{\sqrt{1 + \frac{\frac{1}{\frac{\frac{1}{1 + {\left(\frac{alphay}{alphax} \cdot t\_0\right)}^{2}}}{alphax \cdot alphax} + \frac{\sin \tan^{-1} \left(\frac{alphay \cdot t\_0}{alphax}\right) \cdot \sin \tan^{-1} \left(\frac{alphay}{alphax} \cdot \tan \left(u1 \cdot \left(\pi \cdot 2\right) + \pi \cdot 0.5\right)\right)}{alphay \cdot alphay}} \cdot u0}{1 - u0}}}
\end{array}
\end{array}
Initial program 99.2%
Applied egg-rr99.3%
Taylor expanded in alphay around 0
lower-atan.f32N/A
lower-/.f32N/A
Simplified99.3%
Final simplification99.3%
(FPCore (u0 u1 alphax alphay)
:precision binary32
(let* ((t_0 (* PI (fma 2.0 u1 0.5))))
(/
1.0
(sqrt
(+
1.0
(/
u0
(*
(- 1.0 u0)
(+
(/
(pow (sin (atan (/ (* alphay (tan t_0)) alphax))) 2.0)
(* alphay alphay))
(/
1.0
(*
(* alphax alphax)
(fma
(* alphay alphay)
(/ (pow (sin t_0) 2.0) (* (* alphax alphax) (pow (cos t_0) 2.0)))
1.0)))))))))))
float code(float u0, float u1, float alphax, float alphay) {
float t_0 = ((float) M_PI) * fmaf(2.0f, u1, 0.5f);
return 1.0f / sqrtf((1.0f + (u0 / ((1.0f - u0) * ((powf(sinf(atanf(((alphay * tanf(t_0)) / alphax))), 2.0f) / (alphay * alphay)) + (1.0f / ((alphax * alphax) * fmaf((alphay * alphay), (powf(sinf(t_0), 2.0f) / ((alphax * alphax) * powf(cosf(t_0), 2.0f))), 1.0f))))))));
}
function code(u0, u1, alphax, alphay) t_0 = Float32(Float32(pi) * fma(Float32(2.0), u1, Float32(0.5))) return Float32(Float32(1.0) / sqrt(Float32(Float32(1.0) + Float32(u0 / Float32(Float32(Float32(1.0) - u0) * Float32(Float32((sin(atan(Float32(Float32(alphay * tan(t_0)) / alphax))) ^ Float32(2.0)) / Float32(alphay * alphay)) + Float32(Float32(1.0) / Float32(Float32(alphax * alphax) * fma(Float32(alphay * alphay), Float32((sin(t_0) ^ Float32(2.0)) / Float32(Float32(alphax * alphax) * (cos(t_0) ^ Float32(2.0)))), Float32(1.0)))))))))) end
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \pi \cdot \mathsf{fma}\left(2, u1, 0.5\right)\\
\frac{1}{\sqrt{1 + \frac{u0}{\left(1 - u0\right) \cdot \left(\frac{{\sin \tan^{-1} \left(\frac{alphay \cdot \tan t\_0}{alphax}\right)}^{2}}{alphay \cdot alphay} + \frac{1}{\left(alphax \cdot alphax\right) \cdot \mathsf{fma}\left(alphay \cdot alphay, \frac{{\sin t\_0}^{2}}{\left(alphax \cdot alphax\right) \cdot {\cos t\_0}^{2}}, 1\right)}\right)}}}
\end{array}
\end{array}
Initial program 99.2%
Applied egg-rr99.3%
Taylor expanded in u1 around inf
Simplified99.3%
(FPCore (u0 u1 alphax alphay)
:precision binary32
(let* ((t_0 (* PI (fma 2.0 u1 0.5))) (t_1 (* (/ alphay alphax) (tan t_0))))
(/
1.0
(sqrt
(+
1.0
(/
u0
(*
(- 1.0 u0)
(+
(/
(+ 0.5 (* 0.5 (cos (* (fma 2.0 u1 0.5) (+ PI PI)))))
(* (* alphay alphay) (pow (sin t_0) 2.0)))
(/
(pow (/ t_1 (sqrt (+ 1.0 (pow t_1 2.0)))) 2.0)
(* alphay alphay))))))))))
float code(float u0, float u1, float alphax, float alphay) {
float t_0 = ((float) M_PI) * fmaf(2.0f, u1, 0.5f);
float t_1 = (alphay / alphax) * tanf(t_0);
return 1.0f / sqrtf((1.0f + (u0 / ((1.0f - u0) * (((0.5f + (0.5f * cosf((fmaf(2.0f, u1, 0.5f) * (((float) M_PI) + ((float) M_PI)))))) / ((alphay * alphay) * powf(sinf(t_0), 2.0f))) + (powf((t_1 / sqrtf((1.0f + powf(t_1, 2.0f)))), 2.0f) / (alphay * alphay)))))));
}
function code(u0, u1, alphax, alphay) t_0 = Float32(Float32(pi) * fma(Float32(2.0), u1, Float32(0.5))) t_1 = Float32(Float32(alphay / alphax) * tan(t_0)) return Float32(Float32(1.0) / sqrt(Float32(Float32(1.0) + Float32(u0 / Float32(Float32(Float32(1.0) - u0) * Float32(Float32(Float32(Float32(0.5) + Float32(Float32(0.5) * cos(Float32(fma(Float32(2.0), u1, Float32(0.5)) * Float32(Float32(pi) + Float32(pi)))))) / Float32(Float32(alphay * alphay) * (sin(t_0) ^ Float32(2.0)))) + Float32((Float32(t_1 / sqrt(Float32(Float32(1.0) + (t_1 ^ Float32(2.0))))) ^ Float32(2.0)) / Float32(alphay * alphay)))))))) end
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \pi \cdot \mathsf{fma}\left(2, u1, 0.5\right)\\
t_1 := \frac{alphay}{alphax} \cdot \tan t\_0\\
\frac{1}{\sqrt{1 + \frac{u0}{\left(1 - u0\right) \cdot \left(\frac{0.5 + 0.5 \cdot \cos \left(\mathsf{fma}\left(2, u1, 0.5\right) \cdot \left(\pi + \pi\right)\right)}{\left(alphay \cdot alphay\right) \cdot {\sin t\_0}^{2}} + \frac{{\left(\frac{t\_1}{\sqrt{1 + {t\_1}^{2}}}\right)}^{2}}{alphay \cdot alphay}\right)}}}
\end{array}
\end{array}
Initial program 99.2%
Applied egg-rr99.3%
Taylor expanded in alphax around 0
Simplified98.6%
lift-PI.f32N/A
lift-fma.f32N/A
lift-*.f32N/A
lift-cos.f32N/A
unpow2N/A
lift-cos.f32N/A
lift-cos.f32N/A
sqr-cos-aN/A
lower-+.f32N/A
lower-*.f32N/A
cos-2N/A
cos-sumN/A
lower-cos.f32N/A
lift-*.f32N/A
lift-*.f32N/A
distribute-rgt-outN/A
lower-*.f32N/A
Applied egg-rr98.6%
lift-PI.f32N/A
lift-fma.f32N/A
lift-*.f32N/A
lift-tan.f32N/A
lift-*.f32N/A
lift-/.f32N/A
sin-atanN/A
lower-/.f32N/A
Applied egg-rr98.6%
Final simplification98.6%
(FPCore (u0 u1 alphax alphay)
:precision binary32
(let* ((t_0 (* PI (fma 2.0 u1 0.5))))
(/
1.0
(sqrt
(+
1.0
(/
u0
(*
(- 1.0 u0)
(+
(/
(pow (sin (atan (/ (* alphay (tan t_0)) alphax))) 2.0)
(* alphay alphay))
(/
(+ 0.5 (* 0.5 (cos (* (fma 2.0 u1 0.5) (+ PI PI)))))
(* (* alphay alphay) (pow (sin t_0) 2.0)))))))))))
float code(float u0, float u1, float alphax, float alphay) {
float t_0 = ((float) M_PI) * fmaf(2.0f, u1, 0.5f);
return 1.0f / sqrtf((1.0f + (u0 / ((1.0f - u0) * ((powf(sinf(atanf(((alphay * tanf(t_0)) / alphax))), 2.0f) / (alphay * alphay)) + ((0.5f + (0.5f * cosf((fmaf(2.0f, u1, 0.5f) * (((float) M_PI) + ((float) M_PI)))))) / ((alphay * alphay) * powf(sinf(t_0), 2.0f))))))));
}
function code(u0, u1, alphax, alphay) t_0 = Float32(Float32(pi) * fma(Float32(2.0), u1, Float32(0.5))) return Float32(Float32(1.0) / sqrt(Float32(Float32(1.0) + Float32(u0 / Float32(Float32(Float32(1.0) - u0) * Float32(Float32((sin(atan(Float32(Float32(alphay * tan(t_0)) / alphax))) ^ Float32(2.0)) / Float32(alphay * alphay)) + Float32(Float32(Float32(0.5) + Float32(Float32(0.5) * cos(Float32(fma(Float32(2.0), u1, Float32(0.5)) * Float32(Float32(pi) + Float32(pi)))))) / Float32(Float32(alphay * alphay) * (sin(t_0) ^ Float32(2.0)))))))))) end
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \pi \cdot \mathsf{fma}\left(2, u1, 0.5\right)\\
\frac{1}{\sqrt{1 + \frac{u0}{\left(1 - u0\right) \cdot \left(\frac{{\sin \tan^{-1} \left(\frac{alphay \cdot \tan t\_0}{alphax}\right)}^{2}}{alphay \cdot alphay} + \frac{0.5 + 0.5 \cdot \cos \left(\mathsf{fma}\left(2, u1, 0.5\right) \cdot \left(\pi + \pi\right)\right)}{\left(alphay \cdot alphay\right) \cdot {\sin t\_0}^{2}}\right)}}}
\end{array}
\end{array}
Initial program 99.2%
Applied egg-rr99.3%
Taylor expanded in alphax around 0
Simplified98.6%
lift-PI.f32N/A
lift-fma.f32N/A
lift-*.f32N/A
lift-cos.f32N/A
unpow2N/A
lift-cos.f32N/A
lift-cos.f32N/A
sqr-cos-aN/A
lower-+.f32N/A
lower-*.f32N/A
cos-2N/A
cos-sumN/A
lower-cos.f32N/A
lift-*.f32N/A
lift-*.f32N/A
distribute-rgt-outN/A
lower-*.f32N/A
Applied egg-rr98.6%
Final simplification98.6%
(FPCore (u0 u1 alphax alphay)
:precision binary32
(let* ((t_0 (* PI (fma 2.0 u1 0.5))))
(/
1.0
(sqrt
(+
1.0
(/
u0
(*
(- 1.0 u0)
(+
(/
(pow (sin (atan (/ (* alphay (tan t_0)) alphax))) 2.0)
(* alphay alphay))
(/
(+ 0.5 (* 0.5 (fma u1 (* u1 (* (* PI PI) 8.0)) -1.0)))
(* (* alphay alphay) (pow (sin t_0) 2.0)))))))))))
float code(float u0, float u1, float alphax, float alphay) {
float t_0 = ((float) M_PI) * fmaf(2.0f, u1, 0.5f);
return 1.0f / sqrtf((1.0f + (u0 / ((1.0f - u0) * ((powf(sinf(atanf(((alphay * tanf(t_0)) / alphax))), 2.0f) / (alphay * alphay)) + ((0.5f + (0.5f * fmaf(u1, (u1 * ((((float) M_PI) * ((float) M_PI)) * 8.0f)), -1.0f))) / ((alphay * alphay) * powf(sinf(t_0), 2.0f))))))));
}
function code(u0, u1, alphax, alphay) t_0 = Float32(Float32(pi) * fma(Float32(2.0), u1, Float32(0.5))) return Float32(Float32(1.0) / sqrt(Float32(Float32(1.0) + Float32(u0 / Float32(Float32(Float32(1.0) - u0) * Float32(Float32((sin(atan(Float32(Float32(alphay * tan(t_0)) / alphax))) ^ Float32(2.0)) / Float32(alphay * alphay)) + Float32(Float32(Float32(0.5) + Float32(Float32(0.5) * fma(u1, Float32(u1 * Float32(Float32(Float32(pi) * Float32(pi)) * Float32(8.0))), Float32(-1.0)))) / Float32(Float32(alphay * alphay) * (sin(t_0) ^ Float32(2.0)))))))))) end
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \pi \cdot \mathsf{fma}\left(2, u1, 0.5\right)\\
\frac{1}{\sqrt{1 + \frac{u0}{\left(1 - u0\right) \cdot \left(\frac{{\sin \tan^{-1} \left(\frac{alphay \cdot \tan t\_0}{alphax}\right)}^{2}}{alphay \cdot alphay} + \frac{0.5 + 0.5 \cdot \mathsf{fma}\left(u1, u1 \cdot \left(\left(\pi \cdot \pi\right) \cdot 8\right), -1\right)}{\left(alphay \cdot alphay\right) \cdot {\sin t\_0}^{2}}\right)}}}
\end{array}
\end{array}
Initial program 99.2%
Applied egg-rr99.3%
Taylor expanded in alphax around 0
Simplified98.6%
lift-PI.f32N/A
lift-fma.f32N/A
lift-*.f32N/A
lift-cos.f32N/A
unpow2N/A
lift-cos.f32N/A
lift-cos.f32N/A
sqr-cos-aN/A
lower-+.f32N/A
lower-*.f32N/A
cos-2N/A
cos-sumN/A
lower-cos.f32N/A
lift-*.f32N/A
lift-*.f32N/A
distribute-rgt-outN/A
lower-*.f32N/A
Applied egg-rr98.6%
Taylor expanded in u1 around 0
cos-PIN/A
+-commutativeN/A
associate-*r*N/A
sin-PIN/A
mul0-rgtN/A
--rgt-identityN/A
lower-fma.f32N/A
Simplified97.9%
Final simplification97.9%
(FPCore (u0 u1 alphax alphay)
:precision binary32
(/
1.0
(sqrt
(fma
(* alphay alphay)
(/
u0
(*
(- 1.0 u0)
(pow
(sin (atan (/ (* alphay (tan (* PI (fma 2.0 u1 0.5)))) alphax)))
2.0)))
1.0))))
float code(float u0, float u1, float alphax, float alphay) {
return 1.0f / sqrtf(fmaf((alphay * alphay), (u0 / ((1.0f - u0) * powf(sinf(atanf(((alphay * tanf((((float) M_PI) * fmaf(2.0f, u1, 0.5f)))) / alphax))), 2.0f))), 1.0f));
}
function code(u0, u1, alphax, alphay) return Float32(Float32(1.0) / sqrt(fma(Float32(alphay * alphay), Float32(u0 / Float32(Float32(Float32(1.0) - u0) * (sin(atan(Float32(Float32(alphay * tan(Float32(Float32(pi) * fma(Float32(2.0), u1, Float32(0.5))))) / alphax))) ^ Float32(2.0)))), Float32(1.0)))) end
\begin{array}{l}
\\
\frac{1}{\sqrt{\mathsf{fma}\left(alphay \cdot alphay, \frac{u0}{\left(1 - u0\right) \cdot {\sin \tan^{-1} \left(\frac{alphay \cdot \tan \left(\pi \cdot \mathsf{fma}\left(2, u1, 0.5\right)\right)}{alphax}\right)}^{2}}, 1\right)}}
\end{array}
Initial program 99.2%
Applied egg-rr99.3%
Taylor expanded in alphax around inf
lower-sqrt.f32N/A
+-commutativeN/A
associate-/l*N/A
lower-fma.f32N/A
Simplified97.2%
Final simplification97.2%
(FPCore (u0 u1 alphax alphay)
:precision binary32
(/
1.0
(sqrt
(fma
alphay
(/
(* alphay u0)
(*
(- 1.0 u0)
(-
0.5
(* 0.5 (cos (* 2.0 (atan (* (/ alphay alphax) (tan (* PI 0.5))))))))))
1.0))))
float code(float u0, float u1, float alphax, float alphay) {
return 1.0f / sqrtf(fmaf(alphay, ((alphay * u0) / ((1.0f - u0) * (0.5f - (0.5f * cosf((2.0f * atanf(((alphay / alphax) * tanf((((float) M_PI) * 0.5f)))))))))), 1.0f));
}
function code(u0, u1, alphax, alphay) return Float32(Float32(1.0) / sqrt(fma(alphay, Float32(Float32(alphay * u0) / Float32(Float32(Float32(1.0) - u0) * Float32(Float32(0.5) - Float32(Float32(0.5) * cos(Float32(Float32(2.0) * atan(Float32(Float32(alphay / alphax) * tan(Float32(Float32(pi) * Float32(0.5))))))))))), Float32(1.0)))) end
\begin{array}{l}
\\
\frac{1}{\sqrt{\mathsf{fma}\left(alphay, \frac{alphay \cdot u0}{\left(1 - u0\right) \cdot \left(0.5 - 0.5 \cdot \cos \left(2 \cdot \tan^{-1} \left(\frac{alphay}{alphax} \cdot \tan \left(\pi \cdot 0.5\right)\right)\right)\right)}, 1\right)}}
\end{array}
Initial program 99.2%
Applied egg-rr99.3%
Taylor expanded in alphax around inf
lower-sqrt.f32N/A
+-commutativeN/A
associate-/l*N/A
lower-fma.f32N/A
Simplified97.2%
Taylor expanded in u1 around 0
lower-*.f32N/A
lower-PI.f3297.2
Simplified97.2%
Applied egg-rr97.2%
Final simplification97.2%
(FPCore (u0 u1 alphax alphay) :precision binary32 1.0)
float code(float u0, float u1, float alphax, float alphay) {
return 1.0f;
}
real(4) function code(u0, u1, alphax, alphay)
real(4), intent (in) :: u0
real(4), intent (in) :: u1
real(4), intent (in) :: alphax
real(4), intent (in) :: alphay
code = 1.0e0
end function
function code(u0, u1, alphax, alphay) return Float32(1.0) end
function tmp = code(u0, u1, alphax, alphay) tmp = single(1.0); end
\begin{array}{l}
\\
1
\end{array}
Initial program 99.2%
Applied egg-rr99.3%
Taylor expanded in alphay around 0
Simplified90.7%
metadata-eval90.7
Applied egg-rr90.7%
herbie shell --seed 2024219
(FPCore (u0 u1 alphax alphay)
:name "Trowbridge-Reitz Sample, sample surface normal, cosTheta"
:precision binary32
:pre (and (and (and (and (<= 2.328306437e-10 u0) (<= u0 1.0)) (and (<= 2.328306437e-10 u1) (<= u1 0.5))) (and (<= 0.0001 alphax) (<= alphax 1.0))) (and (<= 0.0001 alphay) (<= alphay 1.0)))
(/ 1.0 (sqrt (+ 1.0 (/ (* (/ 1.0 (+ (/ (* (cos (atan (* (/ alphay alphax) (tan (+ (* (* 2.0 PI) u1) (* 0.5 PI)))))) (cos (atan (* (/ alphay alphax) (tan (+ (* (* 2.0 PI) u1) (* 0.5 PI))))))) (* alphax alphax)) (/ (* (sin (atan (* (/ alphay alphax) (tan (+ (* (* 2.0 PI) u1) (* 0.5 PI)))))) (sin (atan (* (/ alphay alphax) (tan (+ (* (* 2.0 PI) u1) (* 0.5 PI))))))) (* alphay alphay)))) u0) (- 1.0 u0))))))