Average Error: 0.1 → 0
Time: 12.7s
Precision: 64
\[x + \frac{x - y}{2.0}\]
↓
\[\mathsf{fma}\left(1.5, x, -0.5 \cdot y\right)\]
x + \frac{x - y}{2.0}
↓
\mathsf{fma}\left(1.5, x, -0.5 \cdot y\right)
double f(double x, double y) {
        double r27207380 = x;
        double r27207381 = y;
        double r27207382 = r27207380 - r27207381;
        double r27207383 = 2.0;
        double r27207384 = r27207382 / r27207383;
        double r27207385 = r27207380 + r27207384;
        return r27207385;
}
↓
double f(double x, double y) {
        double r27207386 = 1.5;
        double r27207387 = x;
        double r27207388 = 0.5;
        double r27207389 = y;
        double r27207390 = r27207388 * r27207389;
        double r27207391 = -r27207390;
        double r27207392 = fma(r27207386, r27207387, r27207391);
        return r27207392;
}

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

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

  2. Taylor expanded around 0 0.1

    \[\leadsto \color{blue}{1.5 \cdot x - 0.5 \cdot y}\]
  3. Using strategy rm

  4. Applied fma-neg0

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

  5. Final simplification0

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

Reproduce

herbie shell --seed 2019162 +o rules:numerics
(FPCore (x y)
  :name "Graphics.Rendering.Chart.Axis.Types:hBufferRect from Chart-1.5.3"

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

  (+ x (/ (- x y) 2.0)))