?

Average Error: 0.0 → 0.0
Time: 14.5s
Precision: binary64
Cost: 832

?

\[\left(x + y\right) \cdot \left(x + y\right) \]
\[\left(\left(y + x\right) \cdot 0.5\right) \cdot \left(y + \left(y + \left(x + x\right)\right)\right) \]
(FPCore (x y) :precision binary64 (* (+ x y) (+ x y)))
(FPCore (x y) :precision binary64 (* (* (+ y x) 0.5) (+ y (+ y (+ x x)))))
double code(double x, double y) {
	return (x + y) * (x + y);
}
double code(double x, double y) {
	return ((y + x) * 0.5) * (y + (y + (x + x)));
}
real(8) function code(x, y)
    real(8), intent (in) :: x
    real(8), intent (in) :: y
    code = (x + y) * (x + y)
end function
real(8) function code(x, y)
    real(8), intent (in) :: x
    real(8), intent (in) :: y
    code = ((y + x) * 0.5d0) * (y + (y + (x + x)))
end function
public static double code(double x, double y) {
	return (x + y) * (x + y);
}
public static double code(double x, double y) {
	return ((y + x) * 0.5) * (y + (y + (x + x)));
}
def code(x, y):
	return (x + y) * (x + y)
def code(x, y):
	return ((y + x) * 0.5) * (y + (y + (x + x)))
function code(x, y)
	return Float64(Float64(x + y) * Float64(x + y))
end
function code(x, y)
	return Float64(Float64(Float64(y + x) * 0.5) * Float64(y + Float64(y + Float64(x + x))))
end
function tmp = code(x, y)
	tmp = (x + y) * (x + y);
end
function tmp = code(x, y)
	tmp = ((y + x) * 0.5) * (y + (y + (x + x)));
end
code[x_, y_] := N[(N[(x + y), $MachinePrecision] * N[(x + y), $MachinePrecision]), $MachinePrecision]
code[x_, y_] := N[(N[(N[(y + x), $MachinePrecision] * 0.5), $MachinePrecision] * N[(y + N[(y + N[(x + x), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\left(x + y\right) \cdot \left(x + y\right)
\left(\left(y + x\right) \cdot 0.5\right) \cdot \left(y + \left(y + \left(x + x\right)\right)\right)

Error?

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. Applied egg-rr18.5

    \[\leadsto \color{blue}{\frac{\left(\left(x + y\right) \cdot \left(x + y\right)\right) \cdot \frac{\left(x + y\right) \cdot \left(x + y\right)}{x + y}}{x + y}} \]
  3. Applied egg-rr18.6

    \[\leadsto \frac{\color{blue}{\frac{x + y}{\frac{1}{\left(x + y\right) \cdot \left(x + y\right)}}}}{x + y} \]
  4. Applied egg-rr0.0

    \[\leadsto \color{blue}{\left(x + y\right) \cdot \left(\left(x + y\right) \cdot 0.5\right) + \left(x + y\right) \cdot \left(\left(x + y\right) \cdot 0.5\right)} \]
  5. Simplified0.0

    \[\leadsto \color{blue}{\left(\left(y + x\right) \cdot 0.5\right) \cdot \left(y + \left(y + \left(x + x\right)\right)\right)} \]
    Proof

    [Start]0.0

    \[ \left(x + y\right) \cdot \left(\left(x + y\right) \cdot 0.5\right) + \left(x + y\right) \cdot \left(\left(x + y\right) \cdot 0.5\right) \]

    rational.json-simplify-2 [=>]0.0

    \[ \color{blue}{\left(\left(x + y\right) \cdot 0.5\right) \cdot \left(x + y\right)} + \left(x + y\right) \cdot \left(\left(x + y\right) \cdot 0.5\right) \]

    rational.json-simplify-51 [=>]0.0

    \[ \color{blue}{\left(\left(x + y\right) \cdot 0.5\right) \cdot \left(\left(x + y\right) + \left(x + y\right)\right)} \]

    rational.json-simplify-1 [=>]0.0

    \[ \left(\color{blue}{\left(y + x\right)} \cdot 0.5\right) \cdot \left(\left(x + y\right) + \left(x + y\right)\right) \]

    rational.json-simplify-1 [=>]0.0

    \[ \left(\left(y + x\right) \cdot 0.5\right) \cdot \left(\left(x + y\right) + \color{blue}{\left(y + x\right)}\right) \]

    rational.json-simplify-41 [=>]0.0

    \[ \left(\left(y + x\right) \cdot 0.5\right) \cdot \color{blue}{\left(y + \left(x + \left(x + y\right)\right)\right)} \]

    rational.json-simplify-1 [=>]0.0

    \[ \left(\left(y + x\right) \cdot 0.5\right) \cdot \left(y + \left(x + \color{blue}{\left(y + x\right)}\right)\right) \]

    rational.json-simplify-41 [=>]0.0

    \[ \left(\left(y + x\right) \cdot 0.5\right) \cdot \left(y + \color{blue}{\left(y + \left(x + x\right)\right)}\right) \]
  6. Final simplification0.0

    \[\leadsto \left(\left(y + x\right) \cdot 0.5\right) \cdot \left(y + \left(y + \left(x + x\right)\right)\right) \]

Alternatives

Alternative 1
Error0.0
Cost448
\[\left(x + y\right) \cdot \left(x + y\right) \]
Alternative 2
Error55.0
Cost320
\[2 \cdot \left(y \cdot x\right) \]

Error

Reproduce?

herbie shell --seed 2023074 
(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)))