Average Error: 14.8 → 0.0
Time: 5.1s
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 r386966 = x;
        double r386967 = y;
        double r386968 = r386966 + r386967;
        double r386969 = 2.0;
        double r386970 = r386966 * r386969;
        double r386971 = r386970 * r386967;
        double r386972 = r386968 / r386971;
        return r386972;
}

double f(double x, double y) {
        double r386973 = 0.5;
        double r386974 = x;
        double r386975 = r386973 / r386974;
        double r386976 = y;
        double r386977 = r386973 / r386976;
        double r386978 = r386975 + r386977;
        return r386978;
}

Error

Bits error versus x

Bits error versus y

Try it out

Your Program's Arguments

Results

Enter valid numbers for all inputs

Target

Original14.8
Target0.0
Herbie0.0
\[\frac{0.5}{x} + \frac{0.5}{y}\]

Derivation

  1. Initial program 14.8

    \[\frac{x + y}{\left(x \cdot 2\right) \cdot y}\]
  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 2019305 
(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)))