Average Error: 0.1 → 0.2
Time: 1.1m
Precision: 64
Internal Precision: 128
\[\left(\frac{m \cdot \left(1 - m\right)}{v} - 1\right) \cdot \left(1 - m\right)\]
\[\left(\frac{1}{\frac{v}{m - m \cdot m}} - 1\right) \cdot \left(1 - m\right)\]

Error

Bits error versus m

Bits error versus v

Derivation

  1. Initial program 0.1

    \[\left(\frac{m \cdot \left(1 - m\right)}{v} - 1\right) \cdot \left(1 - m\right)\]
  2. Taylor expanded around 0 0.1

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

    \[\leadsto \left(\frac{\color{blue}{m - m \cdot m}}{v} - 1\right) \cdot \left(1 - m\right)\]
  4. Using strategy rm
  5. Applied *-un-lft-identity0.1

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

    \[\leadsto \left(\color{blue}{\frac{1}{\frac{v}{m - m \cdot m}}} - 1\right) \cdot \left(1 - m\right)\]
  7. Final simplification0.2

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

Reproduce

herbie shell --seed 2019089 +o rules:numerics
(FPCore (m v)
  :name "b parameter of renormalized beta distribution"
  :pre (and (< 0 m) (< 0 v) (< v 0.25))
  (* (- (/ (* m (- 1 m)) v) 1) (- 1 m)))