Average Error: 12.5 → 0.6
Time: 2.9m
Precision: 64
Internal Precision: 384
\[\left(\left(3 + \frac{2}{r \cdot r}\right) - \frac{\left(0.125 \cdot \left(3 - 2 \cdot v\right)\right) \cdot \left(\left(\left(w \cdot w\right) \cdot r\right) \cdot r\right)}{1 - v}\right) - 4.5\]
\[\left(\frac{\frac{2}{r}}{r} + 3\right) - \left(\left(\left(3 - v \cdot 2\right) \cdot \left(\frac{r}{1 - v} \cdot \left(0.125 \cdot w\right)\right)\right) \cdot \left(w \cdot r\right) + 4.5\right)\]

Error

Bits error versus v

Bits error versus w

Bits error versus r

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. Applied simplify0.3

    \[\leadsto \color{blue}{\left(\frac{\frac{2}{r}}{r} + 3\right) - (\left(\frac{3 - v \cdot 2}{\frac{1 - v}{0.125}}\right) \cdot \left(\left(w \cdot r\right) \cdot \left(w \cdot r\right)\right) + 4.5)_*}\]
  3. Using strategy rm
  4. Applied fma-udef0.3

    \[\leadsto \left(\frac{\frac{2}{r}}{r} + 3\right) - \color{blue}{\left(\frac{3 - v \cdot 2}{\frac{1 - v}{0.125}} \cdot \left(\left(w \cdot r\right) \cdot \left(w \cdot r\right)\right) + 4.5\right)}\]
  5. Using strategy rm
  6. Applied associate-*r*0.3

    \[\leadsto \left(\frac{\frac{2}{r}}{r} + 3\right) - \left(\color{blue}{\left(\frac{3 - v \cdot 2}{\frac{1 - v}{0.125}} \cdot \left(w \cdot r\right)\right) \cdot \left(w \cdot r\right)} + 4.5\right)\]
  7. Using strategy rm
  8. Applied div-inv0.3

    \[\leadsto \left(\frac{\frac{2}{r}}{r} + 3\right) - \left(\left(\color{blue}{\left(\left(3 - v \cdot 2\right) \cdot \frac{1}{\frac{1 - v}{0.125}}\right)} \cdot \left(w \cdot r\right)\right) \cdot \left(w \cdot r\right) + 4.5\right)\]
  9. Applied associate-*l*0.3

    \[\leadsto \left(\frac{\frac{2}{r}}{r} + 3\right) - \left(\color{blue}{\left(\left(3 - v \cdot 2\right) \cdot \left(\frac{1}{\frac{1 - v}{0.125}} \cdot \left(w \cdot r\right)\right)\right)} \cdot \left(w \cdot r\right) + 4.5\right)\]
  10. Applied simplify0.6

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

Runtime

Time bar (total: 2.9m)Debug logProfile

herbie shell --seed '#(1070960995 739739648 2531964651 3069671617 351857262 3877178482)' +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))