Average Error: 15.1 → 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 r697384 = x;
        double r697385 = y;
        double r697386 = r697384 + r697385;
        double r697387 = 2.0;
        double r697388 = r697384 * r697387;
        double r697389 = r697388 * r697385;
        double r697390 = r697386 / r697389;
        return r697390;
}

double f(double x, double y) {
        double r697391 = 0.5;
        double r697392 = 1.0;
        double r697393 = y;
        double r697394 = r697392 / r697393;
        double r697395 = x;
        double r697396 = r697392 / r697395;
        double r697397 = r697394 + r697396;
        double r697398 = r697391 * r697397;
        return r697398;
}

Error

Bits error versus x

Bits error versus y

Try it out

Your Program's Arguments

Results

Enter valid numbers for all inputs

Target

Original15.1
Target0.0
Herbie0.0
\[\frac{0.5}{x} + \frac{0.5}{y}\]

Derivation

  1. Initial program 15.1

    \[\frac{x + y}{\left(x \cdot 2\right) \cdot y}\]
  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 2020035 
(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)))