Average Error: 0.0 → 0
Time: 3.8s
Precision: 64
\[x + \frac{y - x}{2}\]
\[0.5 \cdot \left(x + y\right)\]
x + \frac{y - x}{2}
0.5 \cdot \left(x + y\right)
double f(double x, double y) {
        double r29236882 = x;
        double r29236883 = y;
        double r29236884 = r29236883 - r29236882;
        double r29236885 = 2.0;
        double r29236886 = r29236884 / r29236885;
        double r29236887 = r29236882 + r29236886;
        return r29236887;
}

double f(double x, double y) {
        double r29236888 = 0.5;
        double r29236889 = x;
        double r29236890 = y;
        double r29236891 = r29236889 + r29236890;
        double r29236892 = r29236888 * r29236891;
        return r29236892;
}

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

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

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

Reproduce

herbie shell --seed 2019174 +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)))