Average Error: 14.9 → 0.0
Time: 20.0s
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 r498797 = x;
        double r498798 = y;
        double r498799 = r498797 + r498798;
        double r498800 = 2.0;
        double r498801 = r498797 * r498800;
        double r498802 = r498801 * r498798;
        double r498803 = r498799 / r498802;
        return r498803;
}

double f(double x, double y) {
        double r498804 = 0.5;
        double r498805 = y;
        double r498806 = r498804 / r498805;
        double r498807 = x;
        double r498808 = r498804 / r498807;
        double r498809 = r498806 + r498808;
        return r498809;
}

Error

Bits error versus x

Bits error versus y

Try it out

Your Program's Arguments

Results

Enter valid numbers for all inputs

Target

Original14.9
Target0.0
Herbie0.0
\[\frac{0.5}{x} + \frac{0.5}{y}\]

Derivation

  1. Initial program 14.9

    \[\frac{x + y}{\left(x \cdot 2\right) \cdot y}\]
  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 2019322 +o rules:numerics
(FPCore (x y)
  :name "Linear.Projection:inversePerspective from linear-1.19.1.3, C"
  :precision binary64

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

  (/ (+ x y) (* (* x 2) y)))