Average Error: 15.2 → 0.0
Time: 9.8s
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 r337835 = x;
        double r337836 = y;
        double r337837 = r337835 - r337836;
        double r337838 = 2.0;
        double r337839 = r337835 * r337838;
        double r337840 = r337839 * r337836;
        double r337841 = r337837 / r337840;
        return r337841;
}

double f(double x, double y) {
        double r337842 = 0.5;
        double r337843 = y;
        double r337844 = r337842 / r337843;
        double r337845 = x;
        double r337846 = r337842 / r337845;
        double r337847 = r337844 - r337846;
        return r337847;
}

Error

Bits error versus x

Bits error versus y

Try it out

Your Program's Arguments

Results

Enter valid numbers for all inputs

Target

Original15.2
Target0.0
Herbie0.0
\[\frac{0.5}{y} - \frac{0.5}{x}\]

Derivation

  1. Initial program 15.2

    \[\frac{x - y}{\left(x \cdot 2\right) \cdot y}\]
  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 2019306 +o rules:numerics
(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)))