| Alternative 1 | |
|---|---|
| Accuracy | 98.4% |
| Cost | 9952 |
\[\sqrt{\frac{u1}{1 - u1}} \cdot \sin \left(\sqrt{39.47841760436263 \cdot \left(u2 \cdot u2\right)}\right)
\]
(FPCore (cosTheta_i u1 u2) :precision binary32 (* (sqrt (/ u1 (- 1.0 u1))) (sin (* 6.28318530718 u2))))
(FPCore (cosTheta_i u1 u2) :precision binary32 (/ (sin (sqrt (* u2 (* u2 39.47841760436263)))) (sqrt (+ (/ 1.0 u1) -1.0))))
float code(float cosTheta_i, float u1, float u2) {
return sqrtf((u1 / (1.0f - u1))) * sinf((6.28318530718f * u2));
}
float code(float cosTheta_i, float u1, float u2) {
return sinf(sqrtf((u2 * (u2 * 39.47841760436263f)))) / sqrtf(((1.0f / u1) + -1.0f));
}
real(4) function code(costheta_i, u1, u2)
real(4), intent (in) :: costheta_i
real(4), intent (in) :: u1
real(4), intent (in) :: u2
code = sqrt((u1 / (1.0e0 - u1))) * sin((6.28318530718e0 * u2))
end function
real(4) function code(costheta_i, u1, u2)
real(4), intent (in) :: costheta_i
real(4), intent (in) :: u1
real(4), intent (in) :: u2
code = sin(sqrt((u2 * (u2 * 39.47841760436263e0)))) / sqrt(((1.0e0 / u1) + (-1.0e0)))
end function
function code(cosTheta_i, u1, u2) return Float32(sqrt(Float32(u1 / Float32(Float32(1.0) - u1))) * sin(Float32(Float32(6.28318530718) * u2))) end
function code(cosTheta_i, u1, u2) return Float32(sin(sqrt(Float32(u2 * Float32(u2 * Float32(39.47841760436263))))) / sqrt(Float32(Float32(Float32(1.0) / u1) + Float32(-1.0)))) end
function tmp = code(cosTheta_i, u1, u2) tmp = sqrt((u1 / (single(1.0) - u1))) * sin((single(6.28318530718) * u2)); end
function tmp = code(cosTheta_i, u1, u2) tmp = sin(sqrt((u2 * (u2 * single(39.47841760436263))))) / sqrt(((single(1.0) / u1) + single(-1.0))); end
\sqrt{\frac{u1}{1 - u1}} \cdot \sin \left(6.28318530718 \cdot u2\right)
\frac{\sin \left(\sqrt{u2 \cdot \left(u2 \cdot 39.47841760436263\right)}\right)}{\sqrt{\frac{1}{u1} + -1}}
Results
Initial program 98.3%
Applied egg-rr98.4%
Applied egg-rr98.3%
Simplified98.2%
[Start]98.3 | \[ \frac{\sin \left(u2 \cdot 6.28318530718\right)}{\sqrt{\frac{1 - u1}{u1}}}
\] |
|---|---|
div-sub [=>]98.2 | \[ \frac{\sin \left(u2 \cdot 6.28318530718\right)}{\sqrt{\color{blue}{\frac{1}{u1} - \frac{u1}{u1}}}}
\] |
*-inverses [=>]98.2 | \[ \frac{\sin \left(u2 \cdot 6.28318530718\right)}{\sqrt{\frac{1}{u1} - \color{blue}{1}}}
\] |
sub-neg [=>]98.2 | \[ \frac{\sin \left(u2 \cdot 6.28318530718\right)}{\sqrt{\color{blue}{\frac{1}{u1} + \left(-1\right)}}}
\] |
metadata-eval [=>]98.2 | \[ \frac{\sin \left(u2 \cdot 6.28318530718\right)}{\sqrt{\frac{1}{u1} + \color{blue}{-1}}}
\] |
Applied egg-rr98.3%
Simplified98.3%
[Start]98.3 | \[ \frac{\sin \left(\sqrt{\left(u2 \cdot u2\right) \cdot 39.47841760436263}\right)}{\sqrt{\frac{1}{u1} + -1}}
\] |
|---|---|
associate-*l* [=>]98.3 | \[ \frac{\sin \left(\sqrt{\color{blue}{u2 \cdot \left(u2 \cdot 39.47841760436263\right)}}\right)}{\sqrt{\frac{1}{u1} + -1}}
\] |
Final simplification98.3%
| Alternative 1 | |
|---|---|
| Accuracy | 98.4% |
| Cost | 9952 |
| Alternative 2 | |
|---|---|
| Accuracy | 98.3% |
| Cost | 6880 |
| Alternative 3 | |
|---|---|
| Accuracy | 93.9% |
| Cost | 6820 |
| Alternative 4 | |
|---|---|
| Accuracy | 90.2% |
| Cost | 6788 |
| Alternative 5 | |
|---|---|
| Accuracy | 90.1% |
| Cost | 6788 |
| Alternative 6 | |
|---|---|
| Accuracy | 90.2% |
| Cost | 6756 |
| Alternative 7 | |
|---|---|
| Accuracy | 90.2% |
| Cost | 6724 |
| Alternative 8 | |
|---|---|
| Accuracy | 90.2% |
| Cost | 6692 |
| Alternative 9 | |
|---|---|
| Accuracy | 98.3% |
| Cost | 6688 |
| Alternative 10 | |
|---|---|
| Accuracy | 98.2% |
| Cost | 6688 |
| Alternative 11 | |
|---|---|
| Accuracy | 81.5% |
| Cost | 3552 |
| Alternative 12 | |
|---|---|
| Accuracy | 81.6% |
| Cost | 3488 |
| Alternative 13 | |
|---|---|
| Accuracy | 81.6% |
| Cost | 3488 |
| Alternative 14 | |
|---|---|
| Accuracy | 64.7% |
| Cost | 3424 |
| Alternative 15 | |
|---|---|
| Accuracy | 64.7% |
| Cost | 3424 |
| Alternative 16 | |
|---|---|
| Accuracy | 64.7% |
| Cost | 3424 |
| Alternative 17 | |
|---|---|
| Accuracy | 4.6% |
| Cost | 3360 |
| Alternative 18 | |
|---|---|
| Accuracy | 64.7% |
| Cost | 3360 |
| Alternative 19 | |
|---|---|
| Accuracy | 64.7% |
| Cost | 3360 |
| Alternative 20 | |
|---|---|
| Accuracy | -0.0% |
| Cost | 3296 |
herbie shell --seed 2023129
(FPCore (cosTheta_i u1 u2)
:name "Trowbridge-Reitz Sample, near normal, slope_y"
:precision binary32
:pre (and (and (and (> cosTheta_i 0.9999) (<= cosTheta_i 1.0)) (and (<= 2.328306437e-10 u1) (<= u1 1.0))) (and (<= 2.328306437e-10 u2) (<= u2 1.0)))
(* (sqrt (/ u1 (- 1.0 u1))) (sin (* 6.28318530718 u2))))