Average Error: 14.8 → 0.0
Time: 4.9s
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 r383205 = x;
        double r383206 = y;
        double r383207 = r383205 + r383206;
        double r383208 = 2.0;
        double r383209 = r383205 * r383208;
        double r383210 = r383209 * r383206;
        double r383211 = r383207 / r383210;
        return r383211;
}

double f(double x, double y) {
        double r383212 = 0.5;
        double r383213 = y;
        double r383214 = r383212 / r383213;
        double r383215 = x;
        double r383216 = r383212 / r383215;
        double r383217 = r383214 + r383216;
        return r383217;
}

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

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

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

Reproduce

herbie shell --seed 2019305 +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)))