Average Error: 0.0 → 0.0
Time: 2.1s
Precision: binary64
\[\left(x + y\right) \cdot \left(x + y\right)\]
\[x \cdot x + y \cdot \left(y + x \cdot 2\right)\]
\left(x + y\right) \cdot \left(x + y\right)
x \cdot x + y \cdot \left(y + x \cdot 2\right)
(FPCore (x y) :precision binary64 (* (+ x y) (+ x y)))
(FPCore (x y) :precision binary64 (+ (* x x) (* y (+ y (* x 2.0)))))
double code(double x, double y) {
	return (x + y) * (x + y);
}
double code(double x, double y) {
	return (x * x) + (y * (y + (x * 2.0)));
}

Error

Bits error versus x

Bits error versus y

Try it out

Your Program's Arguments

Results

Enter valid numbers for all inputs

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 flip3-+_binary64_1644925.0

    \[\leadsto \color{blue}{\frac{{x}^{3} + {y}^{3}}{x \cdot x + \left(y \cdot y - x \cdot y\right)}} \cdot \left(x + y\right)\]
  4. Applied associate-*l/_binary64_1638934.5

    \[\leadsto \color{blue}{\frac{\left({x}^{3} + {y}^{3}\right) \cdot \left(x + y\right)}{x \cdot x + \left(y \cdot y - x \cdot y\right)}}\]
  5. Simplified34.5

    \[\leadsto \frac{\color{blue}{\left(x + y\right) \cdot \left({x}^{3} + {y}^{3}\right)}}{x \cdot x + \left(y \cdot y - x \cdot y\right)}\]
  6. Taylor expanded around 0 0.0

    \[\leadsto \color{blue}{2 \cdot \left(x \cdot y\right) + \left({x}^{2} + {y}^{2}\right)}\]
  7. Simplified0.0

    \[\leadsto \color{blue}{x \cdot x + y \cdot \left(y + x \cdot 2\right)}\]
  8. Final simplification0.0

    \[\leadsto x \cdot x + y \cdot \left(y + x \cdot 2\right)\]

Reproduce

herbie shell --seed 2020342 
(FPCore (x y)
  :name "Examples.Basics.BasicTests:f3 from sbv-4.4"
  :precision binary64

  :herbie-target
  (+ (* x x) (+ (* y y) (* 2.0 (* y x))))

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