Average Error: 0.0 → 0
Time: 13.0s
Precision: 64
\[x + \frac{y - x}{2}\]
↓
\[\left(x + y\right) \cdot 0.5\]
x + \frac{y - x}{2}
↓
\left(x + y\right) \cdot 0.5
double f(double x, double y) {
        double r19004566 = x;
        double r19004567 = y;
        double r19004568 = r19004567 - r19004566;
        double r19004569 = 2.0;
        double r19004570 = r19004568 / r19004569;
        double r19004571 = r19004566 + r19004570;
        return r19004571;
}
↓
double f(double x, double y) {
        double r19004572 = x;
        double r19004573 = y;
        double r19004574 = r19004572 + r19004573;
        double r19004575 = 0.5;
        double r19004576 = r19004574 * r19004575;
        return r19004576;
}

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

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

  4. Final simplification0

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

Reproduce

herbie shell --seed 2019200 +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)))