Average Error: 0.0 → 0.0
Time: 1.5s
Precision: 64
\[\left(x + y\right) \cdot \left(x + y\right)\]
↓
\[x \cdot x + \mathsf{fma}\left(y, x, y \cdot \left(x + y\right)\right)\]
\left(x + y\right) \cdot \left(x + y\right)
↓
x \cdot x + \mathsf{fma}\left(y, x, y \cdot \left(x + y\right)\right)
double f(double x, double y) {
        double r601530 = x;
        double r601531 = y;
        double r601532 = r601530 + r601531;
        double r601533 = r601532 * r601532;
        return r601533;
}
↓
double f(double x, double y) {
        double r601534 = x;
        double r601535 = r601534 * r601534;
        double r601536 = y;
        double r601537 = r601534 + r601536;
        double r601538 = r601536 * r601537;
        double r601539 = fma(r601536, r601534, r601538);
        double r601540 = r601535 + r601539;
        return r601540;
}

Error

Bits error versus x

Bits error versus y

Target

Original0.0
Target0.0
Herbie0.0
\[x \cdot x + \left(y \cdot y + 2 \cdot \left(y \cdot x\right)\right)\]

Derivation

  1. Initial program 0.0

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

  3. Applied distribute-lft-in0.0

    \[\leadsto \color{blue}{\left(x + y\right) \cdot x + \left(x + y\right) \cdot y}\]

  4. Simplified0.0

    \[\leadsto \color{blue}{x \cdot \left(x + y\right)} + \left(x + y\right) \cdot y\]

  5. Simplified0.0

    \[\leadsto x \cdot \left(x + y\right) + \color{blue}{y \cdot \left(x + y\right)}\]
  6. Using strategy rm

  7. Applied distribute-lft-in0.0

    \[\leadsto \color{blue}{\left(x \cdot x + x \cdot y\right)} + y \cdot \left(x + y\right)\]

  8. Applied associate-+l+0.0

    \[\leadsto \color{blue}{x \cdot x + \left(x \cdot y + y \cdot \left(x + y\right)\right)}\]

  9. Simplified0.0

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

  10. Final simplification0.0

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

Reproduce

herbie shell --seed 2020046 +o rules:numerics
(FPCore (x y)
  :name "Examples.Basics.BasicTests:f3 from sbv-4.4"
  :precision binary64

  :herbie-target
  (+ (* x x) (+ (* y y) (* 2 (* y x))))

  (* (+ x y) (+ x y)))