Average Error: 0.1 → 0.1
Time: 5.6s
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 r755834 = x;
        double r755835 = y;
        double r755836 = r755834 - r755835;
        double r755837 = 2.0;
        double r755838 = r755836 / r755837;
        double r755839 = r755834 + r755838;
        return r755839;
}
↓
double f(double x, double y) {
        double r755840 = 1.5;
        double r755841 = x;
        double r755842 = r755840 * r755841;
        double r755843 = 0.5;
        double r755844 = y;
        double r755845 = r755843 * r755844;
        double r755846 = r755842 - r755845;
        return r755846;
}

Error

Bits error versus x

Bits error versus y

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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 2020089 
(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)))