Average Error: 0.2 → 0.2
Time: 47.5s
Precision: 64
Internal Precision: 576
\[\left(\frac{m \cdot \left(1 - m\right)}{v} - 1\right) \cdot m\]
\[(\left(\frac{m}{\frac{v}{m}}\right) \cdot \left(1 - m\right) + \left(-m\right))_*\]

Error

Bits error versus m

Bits error versus v

Derivation

  1. Initial program 0.2

    \[\left(\frac{m \cdot \left(1 - m\right)}{v} - 1\right) \cdot m\]
  2. Using strategy rm
  3. Applied associate-/l*0.2

    \[\leadsto \left(\color{blue}{\frac{m}{\frac{v}{1 - m}}} - 1\right) \cdot m\]
  4. Using strategy rm
  5. Applied flip--0.2

    \[\leadsto \left(\frac{m}{\frac{v}{\color{blue}{\frac{1 \cdot 1 - m \cdot m}{1 + m}}}} - 1\right) \cdot m\]
  6. Applied associate-/r/0.2

    \[\leadsto \left(\frac{m}{\color{blue}{\frac{v}{1 \cdot 1 - m \cdot m} \cdot \left(1 + m\right)}} - 1\right) \cdot m\]
  7. Applied associate-/r*0.2

    \[\leadsto \left(\color{blue}{\frac{\frac{m}{\frac{v}{1 \cdot 1 - m \cdot m}}}{1 + m}} - 1\right) \cdot m\]
  8. Taylor expanded around 0 6.9

    \[\leadsto \color{blue}{\frac{{m}^{2}}{v} - \left(m + \frac{{m}^{3}}{v}\right)}\]
  9. Using strategy rm
  10. Applied add-sqr-sqrt7.2

    \[\leadsto \frac{{m}^{2}}{v} - \color{blue}{\sqrt{m + \frac{{m}^{3}}{v}} \cdot \sqrt{m + \frac{{m}^{3}}{v}}}\]
  11. Applied *-un-lft-identity7.2

    \[\leadsto \color{blue}{1 \cdot \frac{{m}^{2}}{v}} - \sqrt{m + \frac{{m}^{3}}{v}} \cdot \sqrt{m + \frac{{m}^{3}}{v}}\]
  12. Applied prod-diff7.2

    \[\leadsto \color{blue}{(1 \cdot \left(\frac{{m}^{2}}{v}\right) + \left(-\sqrt{m + \frac{{m}^{3}}{v}} \cdot \sqrt{m + \frac{{m}^{3}}{v}}\right))_* + (\left(-\sqrt{m + \frac{{m}^{3}}{v}}\right) \cdot \left(\sqrt{m + \frac{{m}^{3}}{v}}\right) + \left(\sqrt{m + \frac{{m}^{3}}{v}} \cdot \sqrt{m + \frac{{m}^{3}}{v}}\right))_*}\]
  13. Simplified0.2

    \[\leadsto \color{blue}{(\left(\frac{m}{\frac{v}{m}}\right) \cdot \left(1 - m\right) + \left(-m\right))_*} + (\left(-\sqrt{m + \frac{{m}^{3}}{v}}\right) \cdot \left(\sqrt{m + \frac{{m}^{3}}{v}}\right) + \left(\sqrt{m + \frac{{m}^{3}}{v}} \cdot \sqrt{m + \frac{{m}^{3}}{v}}\right))_*\]
  14. Simplified0.2

    \[\leadsto (\left(\frac{m}{\frac{v}{m}}\right) \cdot \left(1 - m\right) + \left(-m\right))_* + \color{blue}{0}\]
  15. Final simplification0.2

    \[\leadsto (\left(\frac{m}{\frac{v}{m}}\right) \cdot \left(1 - m\right) + \left(-m\right))_*\]

Runtime

Time bar (total: 47.5s)Debug logProfile

BaselineHerbieOracleSpan%
Regimes0.20.20.00.20%
herbie shell --seed 2018263 +o rules:numerics
(FPCore (m v)
  :name "a parameter of renormalized beta distribution"
  :pre (and (< 0 m) (< 0 v) (< v 0.25))
  (* (- (/ (* m (- 1 m)) v) 1) m))