Average Error: 15.2 → 0.0
Time: 13.4s
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 r446180 = x;
        double r446181 = y;
        double r446182 = r446180 + r446181;
        double r446183 = 2.0;
        double r446184 = r446180 * r446183;
        double r446185 = r446184 * r446181;
        double r446186 = r446182 / r446185;
        return r446186;
}

double f(double x, double y) {
        double r446187 = 0.5;
        double r446188 = x;
        double r446189 = r446187 / r446188;
        double r446190 = y;
        double r446191 = r446187 / r446190;
        double r446192 = r446189 + r446191;
        return r446192;
}

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

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

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

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

Reproduce

herbie shell --seed 2019325 
(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)))