Average Error: 15.3 → 0.0
Time: 1.9s
Precision: 64
\[\frac{x + y}{\left(x \cdot 2\right) \cdot y}\]
\[0.5 \cdot \left(\frac{1}{y} + \frac{1}{x}\right)\]
\frac{x + y}{\left(x \cdot 2\right) \cdot y}
0.5 \cdot \left(\frac{1}{y} + \frac{1}{x}\right)
double f(double x, double y) {
        double r428735 = x;
        double r428736 = y;
        double r428737 = r428735 + r428736;
        double r428738 = 2.0;
        double r428739 = r428735 * r428738;
        double r428740 = r428739 * r428736;
        double r428741 = r428737 / r428740;
        return r428741;
}

double f(double x, double y) {
        double r428742 = 0.5;
        double r428743 = 1.0;
        double r428744 = y;
        double r428745 = r428743 / r428744;
        double r428746 = x;
        double r428747 = r428743 / r428746;
        double r428748 = r428745 + r428747;
        double r428749 = r428742 * r428748;
        return r428749;
}

Error

Bits error versus x

Bits error versus y

Try it out

Your Program's Arguments

Results

Enter valid numbers for all inputs

Target

Original15.3
Target0.0
Herbie0.0
\[\frac{0.5}{x} + \frac{0.5}{y}\]

Derivation

  1. Initial program 15.3

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

    \[\leadsto \color{blue}{0.5 \cdot \left(\frac{1}{y} + \frac{1}{x}\right)}\]
  4. Final simplification0.0

    \[\leadsto 0.5 \cdot \left(\frac{1}{y} + \frac{1}{x}\right)\]

Reproduce

herbie shell --seed 2019308 
(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)))