Average Error: 0.0 → 0.0
Time: 1.0s
Precision: 64
\[x \cdot x + y \cdot y\]
↓
\[\mathsf{hypot}\left(x, y\right) \cdot \mathsf{hypot}\left(x, y\right)\]
x \cdot x + y \cdot y
↓
\mathsf{hypot}\left(x, y\right) \cdot \mathsf{hypot}\left(x, y\right)
double f(double x, double y) {
        double r225248 = x;
        double r225249 = r225248 * r225248;
        double r225250 = y;
        double r225251 = r225250 * r225250;
        double r225252 = r225249 + r225251;
        return r225252;
}
↓
double f(double x, double y) {
        double r225253 = x;
        double r225254 = y;
        double r225255 = hypot(r225253, r225254);
        double r225256 = r225255 * r225255;
        return r225256;
}

Error

Bits error versus x

Bits error versus y

Try it out

Your Program's Arguments

Results

Enter valid numbers for all inputs

Derivation

  1. Initial program 0.0

    \[x \cdot x + y \cdot y\]

  2. Simplified0.0

    \[\leadsto \color{blue}{\mathsf{fma}\left(x, x, y \cdot y\right)}\]
  3. Using strategy rm

  4. Applied add-sqr-sqrt0.0

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

  5. Simplified0.0

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

  6. Simplified0.0

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

  7. Final simplification0.0

    \[\leadsto \mathsf{hypot}\left(x, y\right) \cdot \mathsf{hypot}\left(x, y\right)\]

Reproduce

herbie shell --seed 2020057 +o rules:numerics
(FPCore (x y)
  :name "Graphics.Rasterific.Linear:$cquadrance from Rasterific-0.6.1"
  :precision binary64
  (+ (* x x) (* y y)))