\left(\left(3 + \frac{2}{r \cdot r}\right) - \frac{\left(0.125 \cdot \left(3 - 2 \cdot v\right)\right) \cdot \left(\left(\left(w \cdot w\right) \cdot r\right) \cdot r\right)}{1 - v}\right) - 4.5\left(\frac{\frac{2}{r}}{r} + -1.5\right) - \left(\left(r \cdot w\right) \cdot \frac{0.375 + v \cdot -0.25}{\sqrt[3]{1 - v} \cdot \sqrt[3]{1 - v}}\right) \cdot \frac{r}{\frac{\sqrt[3]{1 - v}}{w}}(FPCore (v w r) :precision binary64 (- (- (+ 3.0 (/ 2.0 (* r r))) (/ (* (* 0.125 (- 3.0 (* 2.0 v))) (* (* (* w w) r) r)) (- 1.0 v))) 4.5))
(FPCore (v w r) :precision binary64 (- (+ (/ (/ 2.0 r) r) -1.5) (* (* (* r w) (/ (+ 0.375 (* v -0.25)) (* (cbrt (- 1.0 v)) (cbrt (- 1.0 v))))) (/ r (/ (cbrt (- 1.0 v)) w)))))
double code(double v, double w, double r) {
return ((3.0 + (2.0 / (r * r))) - (((0.125 * (3.0 - (2.0 * v))) * (((w * w) * r) * r)) / (1.0 - v))) - 4.5;
}
double code(double v, double w, double r) {
return (((2.0 / r) / r) + -1.5) - (((r * w) * ((0.375 + (v * -0.25)) / (cbrt(1.0 - v) * cbrt(1.0 - v)))) * (r / (cbrt(1.0 - v) / w)));
}







Bits error versus v







Bits error versus w







Bits error versus r
Results
| Alternative 1 | |
|---|---|
| Accuracy | 0.7 |
| Cost | 2496 |
| Alternative 2 | |
|---|---|
| Accuracy | 0.6 |
| Cost | 2944 |
| Alternative 3 | |
|---|---|
| Accuracy | 0.9 |
| Cost | 2944 |
| Alternative 4 | |
|---|---|
| Accuracy | 3.7 |
| Cost | 1600 |
Initial program 12.7
Simplified8.8
rmApplied associate-*r*_binary643.7
rmApplied add-cube-cbrt_binary643.8
Applied times-frac_binary642.8
Applied *-un-lft-identity_binary642.8
Applied times-frac_binary640.7
Applied associate-*r*_binary640.7
Simplified0.7
rmApplied associate-/r*_binary640.7
rmApplied div-inv_binary640.7
Applied associate-*l*_binary640.7
Simplified0.7
Final simplification0.7
herbie shell --seed 2020322
(FPCore (v w r)
:name "Rosa's TurbineBenchmark"
:precision binary64
(- (- (+ 3.0 (/ 2.0 (* r r))) (/ (* (* 0.125 (- 3.0 (* 2.0 v))) (* (* (* w w) r) r)) (- 1.0 v))) 4.5))