?

Average Error: 0.0 → 0.0
Time: 37.4s
Precision: binary64
Cost: 448

?

\[2 \cdot \left(x \cdot x - x \cdot y\right) \]
\[\left(2 \cdot x\right) \cdot \left(x - y\right) \]
(FPCore (x y) :precision binary64 (* 2.0 (- (* x x) (* x y))))
(FPCore (x y) :precision binary64 (* (* 2.0 x) (- x y)))
double code(double x, double y) {
	return 2.0 * ((x * x) - (x * y));
}
double code(double x, double y) {
	return (2.0 * x) * (x - y);
}
real(8) function code(x, y)
    real(8), intent (in) :: x
    real(8), intent (in) :: y
    code = 2.0d0 * ((x * x) - (x * y))
end function
real(8) function code(x, y)
    real(8), intent (in) :: x
    real(8), intent (in) :: y
    code = (2.0d0 * x) * (x - y)
end function
public static double code(double x, double y) {
	return 2.0 * ((x * x) - (x * y));
}
public static double code(double x, double y) {
	return (2.0 * x) * (x - y);
}
def code(x, y):
	return 2.0 * ((x * x) - (x * y))
def code(x, y):
	return (2.0 * x) * (x - y)
function code(x, y)
	return Float64(2.0 * Float64(Float64(x * x) - Float64(x * y)))
end
function code(x, y)
	return Float64(Float64(2.0 * x) * Float64(x - y))
end
function tmp = code(x, y)
	tmp = 2.0 * ((x * x) - (x * y));
end
function tmp = code(x, y)
	tmp = (2.0 * x) * (x - y);
end
code[x_, y_] := N[(2.0 * N[(N[(x * x), $MachinePrecision] - N[(x * y), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
code[x_, y_] := N[(N[(2.0 * x), $MachinePrecision] * N[(x - y), $MachinePrecision]), $MachinePrecision]
2 \cdot \left(x \cdot x - x \cdot y\right)
\left(2 \cdot x\right) \cdot \left(x - y\right)

Error?

Try it out?

Your Program's Arguments

Results

Enter valid numbers for all inputs

Target

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

Derivation?

  1. Initial program 0.0

    \[2 \cdot \left(x \cdot x - x \cdot y\right) \]
  2. Simplified0.0

    \[\leadsto \color{blue}{\left(2 \cdot x\right) \cdot \left(x - y\right)} \]
    Proof

Alternatives

Alternative 1
Error7.8
Cost584
\[\begin{array}{l} t_0 := -2 \cdot \left(y \cdot x\right)\\ \mathbf{if}\;y \leq -2.5 \cdot 10^{-49}:\\ \;\;\;\;t_0\\ \mathbf{elif}\;y \leq 4.6 \cdot 10^{-43}:\\ \;\;\;\;\left(x \cdot x\right) \cdot 2\\ \mathbf{else}:\\ \;\;\;\;t_0\\ \end{array} \]
Alternative 2
Error22.1
Cost320
\[-2 \cdot \left(y \cdot x\right) \]

Error

Reproduce?

herbie shell --seed 2023033 
(FPCore (x y)
  :name "Linear.Matrix:fromQuaternion from linear-1.19.1.3, A"
  :precision binary64

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

  (* 2.0 (- (* x x) (* x y))))