Average Error: 0.1 → 0
Time: 983.0ms
Precision: 64
\[x + \frac{x - y}{2}\]
\[\mathsf{fma}\left(1.5, x, -0.5 \cdot y\right)\]
x + \frac{x - y}{2}
\mathsf{fma}\left(1.5, x, -0.5 \cdot y\right)
double f(double x, double y) {
        double r705923 = x;
        double r705924 = y;
        double r705925 = r705923 - r705924;
        double r705926 = 2.0;
        double r705927 = r705925 / r705926;
        double r705928 = r705923 + r705927;
        return r705928;
}

double f(double x, double y) {
        double r705929 = 1.5;
        double r705930 = x;
        double r705931 = 0.5;
        double r705932 = y;
        double r705933 = r705931 * r705932;
        double r705934 = -r705933;
        double r705935 = fma(r705929, r705930, r705934);
        return r705935;
}

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 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 2020060 +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)))