Average Error: 15.4 → 0.0
Time: 4.5s
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 r355714 = x;
        double r355715 = y;
        double r355716 = r355714 + r355715;
        double r355717 = 2.0;
        double r355718 = r355714 * r355717;
        double r355719 = r355718 * r355715;
        double r355720 = r355716 / r355719;
        return r355720;
}

double f(double x, double y) {
        double r355721 = 0.5;
        double r355722 = x;
        double r355723 = r355721 / r355722;
        double r355724 = y;
        double r355725 = r355721 / r355724;
        double r355726 = r355723 + r355725;
        return r355726;
}

Error

Bits error versus x

Bits error versus y

Try it out

Your Program's Arguments

Results

Enter valid numbers for all inputs

Target

Original15.4
Target0.0
Herbie0.0
\[\frac{0.5}{x} + \frac{0.5}{y}\]

Derivation

  1. Initial program 15.4

    \[\frac{x + y}{\left(x \cdot 2\right) \cdot y}\]
  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 2019209 
(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)))