Average Error: 12.1 → 0.4
Time: 2.0m
Precision: 64
Internal Precision: 576
\[\left(\left(3 + \frac{2}{r \cdot r}\right) - \frac{\left(0.125 \cdot \left(3 - 2 \cdot v\right)\right) \cdot \left(\left(\left(w \cdot w\right) \cdot r\right) \cdot r\right)}{1 - v}\right) - 4.5\]
\[\left(\left(\frac{2}{r \cdot r} + 3\right) - (\left(\frac{3 - v \cdot 2}{1 - v}\right) \cdot \left(\sqrt{\left(0.125 \cdot \left(w \cdot r\right)\right) \cdot \left(w \cdot r\right)} \cdot \sqrt{\left(0.125 \cdot \left(w \cdot r\right)\right) \cdot \left(w \cdot r\right)}\right) + 4.5)_*\right) + 0\]

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. 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 add-cube-cbrt0.6

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

    \[\leadsto \color{blue}{1 \cdot \left(\frac{\frac{2}{r}}{r} + 3\right)} - \left(\sqrt[3]{(\left(\frac{3 - v \cdot 2}{\frac{1 - v}{0.125}}\right) \cdot \left(\left(w \cdot r\right) \cdot \left(w \cdot r\right)\right) + 4.5)_*} \cdot \sqrt[3]{(\left(\frac{3 - v \cdot 2}{\frac{1 - v}{0.125}}\right) \cdot \left(\left(w \cdot r\right) \cdot \left(w \cdot r\right)\right) + 4.5)_*}\right) \cdot \sqrt[3]{(\left(\frac{3 - v \cdot 2}{\frac{1 - v}{0.125}}\right) \cdot \left(\left(w \cdot r\right) \cdot \left(w \cdot r\right)\right) + 4.5)_*}\]
  6. Applied prod-diff0.6

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

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

    \[\leadsto \left(\left(\frac{2}{r \cdot r} + 3\right) - (\left(\frac{3 - v \cdot 2}{1 - v}\right) \cdot \left(\left(0.125 \cdot \left(w \cdot r\right)\right) \cdot \left(w \cdot r\right)\right) + 4.5)_*\right) + \color{blue}{0}\]
  9. Using strategy rm
  10. Applied add-sqr-sqrt0.4

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

Runtime

Time bar (total: 2.0m)Debug logProfile

herbie shell --seed 2018208 +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))