Average Error: 0.0 → 0
Time: 9.0s
Precision: 64
\[x + \frac{y - x}{2}\]
↓
\[\left(y + x\right) \cdot 0.5\]
x + \frac{y - x}{2}
↓
\left(y + x\right) \cdot 0.5
double f(double x, double y) {
        double r18845351 = x;
        double r18845352 = y;
        double r18845353 = r18845352 - r18845351;
        double r18845354 = 2.0;
        double r18845355 = r18845353 / r18845354;
        double r18845356 = r18845351 + r18845355;
        return r18845356;
}
↓
double f(double x, double y) {
        double r18845357 = y;
        double r18845358 = x;
        double r18845359 = r18845357 + r18845358;
        double r18845360 = 0.5;
        double r18845361 = r18845359 * r18845360;
        return r18845361;
}

Error

Bits error versus x

Bits error versus y

Try it out

Your Program's Arguments

Results

Enter valid numbers for all inputs

Target

Original0.0
Target0
Herbie0
\[0.5 \cdot \left(x + y\right)\]

Derivation

  1. Initial program 0.0

    \[x + \frac{y - x}{2}\]

  2. Taylor expanded around 0 0

    \[\leadsto \color{blue}{0.5 \cdot x + 0.5 \cdot y}\]

  3. Simplified0

    \[\leadsto \color{blue}{0.5 \cdot \left(y + x\right)}\]

  4. Final simplification0

    \[\leadsto \left(y + x\right) \cdot 0.5\]

Reproduce

herbie shell --seed 2019172 +o rules:numerics
(FPCore (x y)
  :name "Numeric.Interval.Internal:bisect from intervals-0.7.1, A"

  :herbie-target
  (* 0.5 (+ x y))

  (+ x (/ (- y x) 2.0)))