Error

Derivation

1. Initial program 12.5

   \[\left(\left(3 + \frac{2}{r \cdot r}\right) - \frac{\left(0.125 \cdot \left(3 - 2 \cdot v\right)\right) \cdot \left(\left(\left(w \cdot w\right) \cdot r\right) \cdot r\right)}{1 - v}\right) - 4.5\]

2. Initial simplification0.4

   \[\leadsto \left(3 + \frac{2}{r \cdot r}\right) - (\left(\frac{(-2 \cdot v + 3)_*}{\frac{1 - v}{0.125}}\right) \cdot \left(\left(w \cdot r\right) \cdot \left(w \cdot r\right)\right) + 4.5)_*\]
3. Using strategy rm

4. Applied *-un-lft-identity0.4

   \[\leadsto \left(3 + \frac{2}{r \cdot r}\right) - \color{blue}{1 \cdot (\left(\frac{(-2 \cdot v + 3)_*}{\frac{1 - v}{0.125}}\right) \cdot \left(\left(w \cdot r\right) \cdot \left(w \cdot r\right)\right) + 4.5)_*}\]

5. Applied add-sqr-sqrt0.9

   \[\leadsto \color{blue}{\sqrt{3 + \frac{2}{r \cdot r}} \cdot \sqrt{3 + \frac{2}{r \cdot r}}} - 1 \cdot (\left(\frac{(-2 \cdot v + 3)_*}{\frac{1 - v}{0.125}}\right) \cdot \left(\left(w \cdot r\right) \cdot \left(w \cdot r\right)\right) + 4.5)_*\]

6. Applied prod-diff0.9

   \[\leadsto \color{blue}{(\left(\sqrt{3 + \frac{2}{r \cdot r}}\right) \cdot \left(\sqrt{3 + \frac{2}{r \cdot r}}\right) + \left(-(\left(\frac{(-2 \cdot v + 3)_*}{\frac{1 - v}{0.125}}\right) \cdot \left(\left(w \cdot r\right) \cdot \left(w \cdot r\right)\right) + 4.5)_* \cdot 1\right))_* + (\left(-(\left(\frac{(-2 \cdot v + 3)_*}{\frac{1 - v}{0.125}}\right) \cdot \left(\left(w \cdot r\right) \cdot \left(w \cdot r\right)\right) + 4.5)_*\right) \cdot 1 + \left((\left(\frac{(-2 \cdot v + 3)_*}{\frac{1 - v}{0.125}}\right) \cdot \left(\left(w \cdot r\right) \cdot \left(w \cdot r\right)\right) + 4.5)_* \cdot 1\right))_*}\]

7. Simplified0.4

   \[\leadsto \color{blue}{(\left(\frac{(v \cdot -2 + 3)_*}{1 - v}\right) \cdot \left(\left(\left(w \cdot r\right) \cdot \left(w \cdot r\right)\right) \cdot \left(-0.125\right)\right) + \left(\left(\left(-4.5\right) + 3\right) + \frac{\frac{2}{r}}{r}\right))_*} + (\left(-(\left(\frac{(-2 \cdot v + 3)_*}{\frac{1 - v}{0.125}}\right) \cdot \left(\left(w \cdot r\right) \cdot \left(w \cdot r\right)\right) + 4.5)_*\right) \cdot 1 + \left((\left(\frac{(-2 \cdot v + 3)_*}{\frac{1 - v}{0.125}}\right) \cdot \left(\left(w \cdot r\right) \cdot \left(w \cdot r\right)\right) + 4.5)_* \cdot 1\right))_*\]

8. Simplified0.3

   \[\leadsto (\left(\frac{(v \cdot -2 + 3)_*}{1 - v}\right) \cdot \left(\left(\left(w \cdot r\right) \cdot \left(w \cdot r\right)\right) \cdot \left(-0.125\right)\right) + \left(\left(\left(-4.5\right) + 3\right) + \frac{\frac{2}{r}}{r}\right))_* + \color{blue}{0}\]
9. Using strategy rm

10. Applied div-inv0.4

    \[\leadsto (\color{blue}{\left((v \cdot -2 + 3)_* \cdot \frac{1}{1 - v}\right)} \cdot \left(\left(\left(w \cdot r\right) \cdot \left(w \cdot r\right)\right) \cdot \left(-0.125\right)\right) + \left(\left(\left(-4.5\right) + 3\right) + \frac{\frac{2}{r}}{r}\right))_* + 0\]
11. Using strategy rm

12. Applied add-exp-log0.4

    \[\leadsto (\color{blue}{\left(e^{\log \left((v \cdot -2 + 3)_* \cdot \frac{1}{1 - v}\right)}\right)} \cdot \left(\left(\left(w \cdot r\right) \cdot \left(w \cdot r\right)\right) \cdot \left(-0.125\right)\right) + \left(\left(\left(-4.5\right) + 3\right) + \frac{\frac{2}{r}}{r}\right))_* + 0\]

13. Final simplification0.4

    \[\leadsto (\left(e^{\log \left((v \cdot -2 + 3)_* \cdot \frac{1}{1 - v}\right)}\right) \cdot \left(\left(\left(w \cdot r\right) \cdot \left(w \cdot r\right)\right) \cdot \left(-0.125\right)\right) + \left(\frac{\frac{2}{r}}{r} + \left(\left(-4.5\right) + 3\right)\right))_*\]

Runtime

Time bar (total: 30.4s)Debug logProfile

herbie shell --seed 2018295 +o rules:numerics
(FPCore (v w r)
  :name "Rosa's TurbineBenchmark"
  (- (- (+ 3 (/ 2 (* r r))) (/ (* (* 0.125 (- 3 (* 2 v))) (* (* (* w w) r) r)) (- 1 v))) 4.5))