Average Error: 0.0 → 0
Time: 7.9s
Precision: 64
\[x + \frac{y - x}{2.0}\]
\[\left(y + x\right) \cdot 0.5\]
x + \frac{y - x}{2.0}
\left(y + x\right) \cdot 0.5
double f(double x, double y) {
        double r24660210 = x;
        double r24660211 = y;
        double r24660212 = r24660211 - r24660210;
        double r24660213 = 2.0;
        double r24660214 = r24660212 / r24660213;
        double r24660215 = r24660210 + r24660214;
        return r24660215;
}

double f(double x, double y) {
        double r24660216 = y;
        double r24660217 = x;
        double r24660218 = r24660216 + r24660217;
        double r24660219 = 0.5;
        double r24660220 = r24660218 * r24660219;
        return r24660220;
}

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

    \[x + \frac{y - x}{2.0}\]
  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

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

Reproduce

herbie shell --seed 2019168 
(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)))