Average Error: 15.1 → 0.0
Time: 16.2s
Precision: 64
\[\frac{x - y}{\left(x \cdot 2\right) \cdot y}\]
\[\frac{0.5}{y} - \frac{0.5}{x}\]
\frac{x - y}{\left(x \cdot 2\right) \cdot y}
\frac{0.5}{y} - \frac{0.5}{x}
double f(double x, double y) {
        double r387704 = x;
        double r387705 = y;
        double r387706 = r387704 - r387705;
        double r387707 = 2.0;
        double r387708 = r387704 * r387707;
        double r387709 = r387708 * r387705;
        double r387710 = r387706 / r387709;
        return r387710;
}

double f(double x, double y) {
        double r387711 = 0.5;
        double r387712 = y;
        double r387713 = r387711 / r387712;
        double r387714 = x;
        double r387715 = r387711 / r387714;
        double r387716 = r387713 - r387715;
        return r387716;
}

Error

Bits error versus x

Bits error versus y

Try it out

Your Program's Arguments

Results

Enter valid numbers for all inputs

Target

Original15.1
Target0.0
Herbie0.0
\[\frac{0.5}{y} - \frac{0.5}{x}\]

Derivation

  1. Initial program 15.1

    \[\frac{x - y}{\left(x \cdot 2\right) \cdot y}\]
  2. Taylor expanded around 0 0.0

    \[\leadsto \color{blue}{0.5 \cdot \frac{1}{y} - 0.5 \cdot \frac{1}{x}}\]
  3. Simplified0.0

    \[\leadsto \color{blue}{\frac{0.5}{y} - \frac{0.5}{x}}\]
  4. Final simplification0.0

    \[\leadsto \frac{0.5}{y} - \frac{0.5}{x}\]

Reproduce

herbie shell --seed 2019235 
(FPCore (x y)
  :name "Linear.Projection:inversePerspective from linear-1.19.1.3, B"
  :precision binary64

  :herbie-target
  (- (/ 0.5 y) (/ 0.5 x))

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