Average Error: 11.6 → 1.0
Time: 3.8s
Precision: 64
\[x - \frac{\left(y \cdot 2\right) \cdot z}{\left(z \cdot 2\right) \cdot z - y \cdot t}\]
\[x - \frac{y}{\frac{2 \cdot z - \frac{t}{z} \cdot y}{2}}\]
x - \frac{\left(y \cdot 2\right) \cdot z}{\left(z \cdot 2\right) \cdot z - y \cdot t}
x - \frac{y}{\frac{2 \cdot z - \frac{t}{z} \cdot y}{2}}
double code(double x, double y, double z, double t) {
	return (x - (((y * 2.0) * z) / (((z * 2.0) * z) - (y * t))));
}
double code(double x, double y, double z, double t) {
	return (x - (y / (((2.0 * z) - ((t / z) * y)) / 2.0)));
}

Error

Bits error versus x

Bits error versus y

Bits error versus z

Bits error versus t

Try it out

Your Program's Arguments

Results

Enter valid numbers for all inputs

Target

Original11.6
Target0.1
Herbie1.0
\[x - \frac{1}{\frac{z}{y} - \frac{\frac{t}{2}}{z}}\]

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*6.5

    \[\leadsto x - \color{blue}{\frac{y \cdot 2}{\frac{\left(z \cdot 2\right) \cdot z - y \cdot t}{z}}}\]
  4. Using strategy rm
  5. Applied associate-/l*6.5

    \[\leadsto x - \color{blue}{\frac{y}{\frac{\frac{\left(z \cdot 2\right) \cdot z - y \cdot t}{z}}{2}}}\]
  6. Simplified2.7

    \[\leadsto x - \frac{y}{\color{blue}{\frac{2 \cdot z - \frac{t \cdot y}{z}}{2}}}\]
  7. Using strategy rm
  8. Applied associate-/l*2.2

    \[\leadsto x - \frac{y}{\frac{2 \cdot z - \color{blue}{\frac{t}{\frac{z}{y}}}}{2}}\]
  9. Using strategy rm
  10. Applied associate-/r/1.0

    \[\leadsto x - \frac{y}{\frac{2 \cdot z - \color{blue}{\frac{t}{z} \cdot y}}{2}}\]
  11. Final simplification1.0

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

Reproduce

herbie shell --seed 2020075 
(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)))))