Average Error: 15.5 → 0.0
Time: 6.5s
Precision: 64
\[\frac{x + y}{\left(x \cdot 2\right) \cdot y}\]
\[\frac{0.5}{x} + \frac{0.5}{y}\]
\frac{x + y}{\left(x \cdot 2\right) \cdot y}
\frac{0.5}{x} + \frac{0.5}{y}
double f(double x, double y) {
        double r653576 = x;
        double r653577 = y;
        double r653578 = r653576 + r653577;
        double r653579 = 2.0;
        double r653580 = r653576 * r653579;
        double r653581 = r653580 * r653577;
        double r653582 = r653578 / r653581;
        return r653582;
}

double f(double x, double y) {
        double r653583 = 0.5;
        double r653584 = x;
        double r653585 = r653583 / r653584;
        double r653586 = y;
        double r653587 = r653583 / r653586;
        double r653588 = r653585 + r653587;
        return r653588;
}

Error

Bits error versus x

Bits error versus y

Try it out

Your Program's Arguments

Results

Enter valid numbers for all inputs

Target

Original15.5
Target0.0
Herbie0.0
\[\frac{0.5}{x} + \frac{0.5}{y}\]

Derivation

  1. Initial program 15.5

    \[\frac{x + y}{\left(x \cdot 2\right) \cdot y}\]
  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

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

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

Reproduce

herbie shell --seed 2020042 
(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)))