Average Error: 9.3 → 0.1
Time: 7.5s
Precision: binary64
\[\frac{x}{y} + \frac{2 + \left(z \cdot 2\right) \cdot \left(1 - t\right)}{t \cdot z}\]
↓
\[\left(\frac{1 \cdot 2 + \frac{2}{z}}{t} + \frac{x}{y}\right) - 2\]
\frac{x}{y} + \frac{2 + \left(z \cdot 2\right) \cdot \left(1 - t\right)}{t \cdot z}
↓
\left(\frac{1 \cdot 2 + \frac{2}{z}}{t} + \frac{x}{y}\right) - 2
double code(double x, double y, double z, double t) {
	return ((double) ((x / y) + (((double) (2.0 + ((double) (((double) (z * 2.0)) * ((double) (1.0 - t)))))) / ((double) (t * z)))));
}
↓
double code(double x, double y, double z, double t) {
	return ((double) (((double) ((((double) (((double) (1.0 * 2.0)) + (2.0 / z))) / t) + (x / 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

Original9.3
Target0.1
Herbie0.1
\[\frac{\frac{2}{z} + 2}{t} - \left(2 - \frac{x}{y}\right)\]

Derivation

  1. Initial program 9.3

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

  2. Simplified0.1

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

  3. Final simplification0.1

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

Reproduce

herbie shell --seed 2020182 
(FPCore (x y z t)
  :name "Data.HashTable.ST.Basic:computeOverhead from hashtables-1.2.0.2"
  :precision binary64

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

  (+ (/ x y) (/ (+ 2.0 (* (* z 2.0) (- 1.0 t))) (* t z))))