Average Error: 0.0 → 0.0
Time: 2.2s
Precision: 64
\[0.5 \cdot \left(x \cdot x - y\right)\]
↓
\[0.5 \cdot \mathsf{fma}\left(x, x, -y\right)\]
0.5 \cdot \left(x \cdot x - y\right)
↓
0.5 \cdot \mathsf{fma}\left(x, x, -y\right)
double f(double x, double y) {
        double r789 = 0.5;
        double r790 = x;
        double r791 = r790 * r790;
        double r792 = y;
        double r793 = r791 - r792;
        double r794 = r789 * r793;
        return r794;
}
↓
double f(double x, double y) {
        double r795 = 0.5;
        double r796 = x;
        double r797 = y;
        double r798 = -r797;
        double r799 = fma(r796, r796, r798);
        double r800 = r795 * r799;
        return r800;
}

Error

Bits error versus x

Bits error versus y

Derivation

  1. Initial program 0.0

    \[0.5 \cdot \left(x \cdot x - y\right)\]
  2. Using strategy rm

  3. Applied fma-neg0.0

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

  4. Final simplification0.0

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

Reproduce

herbie shell --seed 2020046 +o rules:numerics
(FPCore (x y)
  :name "System.Random.MWC.Distributions:standard from mwc-random-0.13.3.2"
  :precision binary64
  (* 0.5 (- (* x x) y)))