Average Error: 0.1 → 0
Time: 16.7s
Precision: 64
\[x + \frac{x - y}{2}\]
↓
\[\mathsf{fma}\left(1.5, x, -y \cdot 0.5\right)\]
x + \frac{x - y}{2}
↓
\mathsf{fma}\left(1.5, x, -y \cdot 0.5\right)
double f(double x, double y) {
        double r594684 = x;
        double r594685 = y;
        double r594686 = r594684 - r594685;
        double r594687 = 2.0;
        double r594688 = r594686 / r594687;
        double r594689 = r594684 + r594688;
        return r594689;
}
↓
double f(double x, double y) {
        double r594690 = 1.5;
        double r594691 = x;
        double r594692 = y;
        double r594693 = 0.5;
        double r594694 = r594692 * r594693;
        double r594695 = -r594694;
        double r594696 = fma(r594690, r594691, r594695);
        return r594696;
}

Error

Bits error versus x

Bits error versus y

Target

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

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. Using strategy rm

  4. Applied prod-diff0

    \[\leadsto \color{blue}{\mathsf{fma}\left(1.5, x, -y \cdot 0.5\right) + \mathsf{fma}\left(-y, 0.5, y \cdot 0.5\right)}\]

  5. Simplified0

    \[\leadsto \mathsf{fma}\left(1.5, x, -y \cdot 0.5\right) + \color{blue}{0}\]

  6. Final simplification0

    \[\leadsto \mathsf{fma}\left(1.5, x, -y \cdot 0.5\right)\]

Reproduce

herbie shell --seed 2019305 +o rules:numerics
(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)))