Average Error: 12.0 → 0.1
Time: 6.7s
Precision: binary64
\[x - \frac{\left(y \cdot 2\right) \cdot z}{\left(z \cdot 2\right) \cdot z - y \cdot t}\]
\[x - \frac{-2}{\frac{t}{z} - \frac{2}{\frac{y}{z}}}\]

Error

Bits error versus x

Bits error versus y

Bits error versus z

Bits error versus t

Target

Original12.0
Target0.1
Herbie0.1
\[x - \frac{1}{\frac{z}{y} - \frac{\frac{t}{2}}{z}}\]

Derivation

  1. Initial program 12.0

    \[x - \frac{\left(y \cdot 2\right) \cdot z}{\left(z \cdot 2\right) \cdot z - y \cdot t}\]
  2. Simplified0.1

    \[\leadsto \color{blue}{x - \frac{2}{\frac{z \cdot 2}{y} - \frac{t}{z}}}\]
  3. Using strategy rm
  4. Applied frac-2neg0.1

    \[\leadsto x - \color{blue}{\frac{-2}{-\left(\frac{z \cdot 2}{y} - \frac{t}{z}\right)}}\]
  5. Simplified0.1

    \[\leadsto x - \frac{-2}{\color{blue}{\frac{t}{z} - \frac{2}{\frac{y}{z}}}}\]
  6. Final simplification0.1

    \[\leadsto x - \frac{-2}{\frac{t}{z} - \frac{2}{\frac{y}{z}}}\]

Reproduce

herbie shell --seed 2020182 
(FPCore (x y z t)
  :name "Numeric.AD.Rank1.Halley:findZero from ad-4.2.4"
  :precision binary64

  :herbie-target
  (- x (/ 1.0 (- (/ z y) (/ (/ t 2.0) z))))

  (- x (/ (* (* y 2.0) z) (- (* (* z 2.0) z) (* y t)))))