Average Error: 11.6 → 0.9
Time: 27.4s
Precision: 64
\[x - \frac{\left(y \cdot 2\right) \cdot z}{\left(z \cdot 2\right) \cdot z - y \cdot t}\]
↓
\[x - \frac{y \cdot 2}{\frac{z \cdot 2}{1} - \frac{y}{\frac{z}{t}}}\]
x - \frac{\left(y \cdot 2\right) \cdot z}{\left(z \cdot 2\right) \cdot z - y \cdot t}
↓
x - \frac{y \cdot 2}{\frac{z \cdot 2}{1} - \frac{y}{\frac{z}{t}}}
double code(double x, double y, double z, double t) {
	return ((double) (x - ((double) (((double) (((double) (y * 2.0)) * z)) / ((double) (((double) (((double) (z * 2.0)) * z)) - ((double) (y * t))))))));
}
↓
double code(double x, double y, double z, double t) {
	return ((double) (x - ((double) (((double) (y * 2.0)) / ((double) (((double) (((double) (z * 2.0)) / 1.0)) - ((double) (y / ((double) (z / t))))))))));
}

Error

Bits error versus x

Bits error versus y

Bits error versus z

Bits error versus t

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Your Program's Arguments

Results

Enter valid numbers for all inputs

Target

Original11.6
Target0.1
Herbie0.9
\[x - \frac{1}{\frac{z}{y} - \frac{\frac{t}{2}}{z}}\]

Derivation

  1. Initial program 11.6

    \[x - \frac{\left(y \cdot 2\right) \cdot z}{\left(z \cdot 2\right) \cdot z - y \cdot t}\]
  2. Using strategy rm

  3. Applied associate-/l*6.4

    \[\leadsto x - \color{blue}{\frac{y \cdot 2}{\frac{\left(z \cdot 2\right) \cdot z - y \cdot t}{z}}}\]
  4. Using strategy rm

  5. Applied div-sub6.4

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

  6. Simplified2.5

    \[\leadsto x - \frac{y \cdot 2}{\color{blue}{\frac{z \cdot 2}{1}} - \frac{y \cdot t}{z}}\]

  7. Simplified2.5

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

  9. Applied *-commutative2.5

    \[\leadsto x - \frac{y \cdot 2}{\frac{z \cdot 2}{1} - \frac{\color{blue}{y \cdot t}}{z}}\]

  10. Applied associate-/l*0.9

    \[\leadsto x - \frac{y \cdot 2}{\frac{z \cdot 2}{1} - \color{blue}{\frac{y}{\frac{z}{t}}}}\]

  11. Final simplification0.9

    \[\leadsto x - \frac{y \cdot 2}{\frac{z \cdot 2}{1} - \frac{y}{\frac{z}{t}}}\]

Reproduce

herbie shell --seed 2020113 +o rules:numerics
(FPCore (x y z t)
  :name "Numeric.AD.Rank1.Halley:findZero from ad-4.2.4"
  :precision binary64

  :herbie-target
  (- x (/ 1 (- (/ z y) (/ (/ t 2) z))))

  (- x (/ (* (* y 2) z) (- (* (* z 2) z) (* y t)))))