Average Error: 15.6 → 0.0
Time: 1.6s
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 r465060 = x;
        double r465061 = y;
        double r465062 = r465060 + r465061;
        double r465063 = 2.0;
        double r465064 = r465060 * r465063;
        double r465065 = r465064 * r465061;
        double r465066 = r465062 / r465065;
        return r465066;
}

double f(double x, double y) {
        double r465067 = 0.5;
        double r465068 = 1.0;
        double r465069 = y;
        double r465070 = r465068 / r465069;
        double r465071 = x;
        double r465072 = r465068 / r465071;
        double r465073 = r465070 + r465072;
        double r465074 = r465067 * r465073;
        return r465074;
}

Error

Bits error versus x

Bits error versus y

Try it out

Your Program's Arguments

Results

Enter valid numbers for all inputs

Target

Original15.6
Target0.0
Herbie0.0
\[\frac{0.5}{x} + \frac{0.5}{y}\]

Derivation

  1. Initial program 15.6

    \[\frac{x + y}{\left(x \cdot 2\right) \cdot y}\]
  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 2020100 
(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)))