Average Error: 0.1 → 0.1
Time: 5.3s
Precision: 64
\[x + \frac{x - y}{2}\]
\[1.5 \cdot x - 0.5 \cdot y\]
x + \frac{x - y}{2}
1.5 \cdot x - 0.5 \cdot y
double f(double x, double y) {
        double r603685 = x;
        double r603686 = y;
        double r603687 = r603685 - r603686;
        double r603688 = 2.0;
        double r603689 = r603687 / r603688;
        double r603690 = r603685 + r603689;
        return r603690;
}

double f(double x, double y) {
        double r603691 = 1.5;
        double r603692 = x;
        double r603693 = r603691 * r603692;
        double r603694 = 0.5;
        double r603695 = y;
        double r603696 = r603694 * r603695;
        double r603697 = r603693 - r603696;
        return r603697;
}

Error

Bits error versus x

Bits error versus y

Try it out

Your Program's Arguments

Results

Enter valid numbers for all inputs

Target

Original0.1
Target0.1
Herbie0.1
\[1.5 \cdot x - 0.5 \cdot y\]

Derivation

  1. Initial program 0.1

    \[x + \frac{x - y}{2}\]
  2. Taylor expanded around 0 0.1

    \[\leadsto \color{blue}{1.5 \cdot x - 0.5 \cdot y}\]
  3. Final simplification0.1

    \[\leadsto 1.5 \cdot x - 0.5 \cdot y\]

Reproduce

herbie shell --seed 2020062 
(FPCore (x y)
  :name "Graphics.Rendering.Chart.Axis.Types:hBufferRect from Chart-1.5.3"
  :precision binary64

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

  (+ x (/ (- x y) 2)))