Average Error: 12.1 → 0.6
Time: 49.1s
Precision: 64
Internal Precision: 128
\[\left(\left(3 + \frac{2}{r \cdot r}\right) - \frac{\left(0.125 \cdot \left(3 - 2 \cdot v\right)\right) \cdot \left(\left(\left(w \cdot w\right) \cdot r\right) \cdot r\right)}{1 - v}\right) - 4.5\]
\[\left(3 + \frac{\frac{2}{r}}{r}\right) - (\left(\frac{1}{(e^{\log_* (1 + \frac{\frac{1 - v}{0.125}}{(-2 \cdot v + 3)_*})} - 1)^*}\right) \cdot \left(\left(w \cdot r\right) \cdot \left(w \cdot r\right)\right) + 4.5)_*\]

Error

Bits error versus v

Bits error versus w

Bits error versus r

Derivation

  1. Initial program 12.1

    \[\left(\left(3 + \frac{2}{r \cdot r}\right) - \frac{\left(0.125 \cdot \left(3 - 2 \cdot v\right)\right) \cdot \left(\left(\left(w \cdot w\right) \cdot r\right) \cdot r\right)}{1 - v}\right) - 4.5\]
  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 associate-/r*0.4

    \[\leadsto \left(3 + \color{blue}{\frac{\frac{2}{r}}{r}}\right) - (\left(\frac{(-2 \cdot v + 3)_*}{\frac{1 - v}{0.125}}\right) \cdot \left(\left(w \cdot r\right) \cdot \left(w \cdot r\right)\right) + 4.5)_*\]
  5. Using strategy rm
  6. Applied *-un-lft-identity0.4

    \[\leadsto \left(3 + \frac{\frac{2}{r}}{r}\right) - (\left(\frac{\color{blue}{1 \cdot (-2 \cdot v + 3)_*}}{\frac{1 - v}{0.125}}\right) \cdot \left(\left(w \cdot r\right) \cdot \left(w \cdot r\right)\right) + 4.5)_*\]
  7. Applied associate-/l*0.4

    \[\leadsto \left(3 + \frac{\frac{2}{r}}{r}\right) - (\color{blue}{\left(\frac{1}{\frac{\frac{1 - v}{0.125}}{(-2 \cdot v + 3)_*}}\right)} \cdot \left(\left(w \cdot r\right) \cdot \left(w \cdot r\right)\right) + 4.5)_*\]
  8. Using strategy rm
  9. Applied expm1-log1p-u0.6

    \[\leadsto \left(3 + \frac{\frac{2}{r}}{r}\right) - (\left(\frac{1}{\color{blue}{(e^{\log_* (1 + \frac{\frac{1 - v}{0.125}}{(-2 \cdot v + 3)_*})} - 1)^*}}\right) \cdot \left(\left(w \cdot r\right) \cdot \left(w \cdot r\right)\right) + 4.5)_*\]
  10. Final simplification0.6

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

Runtime

Time bar (total: 49.1s)Debug logProfile

herbie shell --seed 2018349 +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))