?

Average Error: 0.0 → 0.0
Time: 13.1s
Precision: binary64
Cost: 13120

?

\[{x}^{4} - {y}^{4} \]
\[{x}^{4} - {y}^{4} \]
(FPCore (x y) :precision binary64 (- (pow x 4.0) (pow y 4.0)))
(FPCore (x y) :precision binary64 (- (pow x 4.0) (pow y 4.0)))
double code(double x, double y) {
	return pow(x, 4.0) - pow(y, 4.0);
}
double code(double x, double y) {
	return pow(x, 4.0) - pow(y, 4.0);
}
real(8) function code(x, y)
    real(8), intent (in) :: x
    real(8), intent (in) :: y
    code = (x ** 4.0d0) - (y ** 4.0d0)
end function
real(8) function code(x, y)
    real(8), intent (in) :: x
    real(8), intent (in) :: y
    code = (x ** 4.0d0) - (y ** 4.0d0)
end function
public static double code(double x, double y) {
	return Math.pow(x, 4.0) - Math.pow(y, 4.0);
}
public static double code(double x, double y) {
	return Math.pow(x, 4.0) - Math.pow(y, 4.0);
}
def code(x, y):
	return math.pow(x, 4.0) - math.pow(y, 4.0)
def code(x, y):
	return math.pow(x, 4.0) - math.pow(y, 4.0)
function code(x, y)
	return Float64((x ^ 4.0) - (y ^ 4.0))
end
function code(x, y)
	return Float64((x ^ 4.0) - (y ^ 4.0))
end
function tmp = code(x, y)
	tmp = (x ^ 4.0) - (y ^ 4.0);
end
function tmp = code(x, y)
	tmp = (x ^ 4.0) - (y ^ 4.0);
end
code[x_, y_] := N[(N[Power[x, 4.0], $MachinePrecision] - N[Power[y, 4.0], $MachinePrecision]), $MachinePrecision]
code[x_, y_] := N[(N[Power[x, 4.0], $MachinePrecision] - N[Power[y, 4.0], $MachinePrecision]), $MachinePrecision]
{x}^{4} - {y}^{4}
{x}^{4} - {y}^{4}

Error?

Try it out?

Your Program's Arguments

Results

Enter valid numbers for all inputs

Derivation?

  1. Initial program 0.0

    \[{x}^{4} - {y}^{4} \]
  2. Final simplification0.0

    \[\leadsto {x}^{4} - {y}^{4} \]

Alternatives

Alternative 1
Error5.8
Cost1097
\[\begin{array}{l} \mathbf{if}\;x \leq -1.16 \cdot 10^{-70} \lor \neg \left(x \leq 1.05 \cdot 10^{-67}\right):\\ \;\;\;\;\left(x \cdot x\right) \cdot \frac{x + y}{\frac{1}{x - y}}\\ \mathbf{else}:\\ \;\;\;\;y \cdot \left(y \cdot \left(x \cdot x - y \cdot y\right)\right)\\ \end{array} \]
Alternative 2
Error0.3
Cost1088
\[\left(x \cdot x + y \cdot y\right) \cdot \frac{x - y}{\frac{1}{x + y}} \]
Alternative 3
Error5.8
Cost969
\[\begin{array}{l} \mathbf{if}\;x \leq -3.5 \cdot 10^{-71} \lor \neg \left(x \leq 7.4 \cdot 10^{-68}\right):\\ \;\;\;\;\left(x \cdot x\right) \cdot \left(\left(x - y\right) \cdot \left(x + y\right)\right)\\ \mathbf{else}:\\ \;\;\;\;y \cdot \left(y \cdot \left(x \cdot x - y \cdot y\right)\right)\\ \end{array} \]
Alternative 4
Error5.8
Cost968
\[\begin{array}{l} t_0 := x \cdot x - y \cdot y\\ \mathbf{if}\;x \leq -6.5 \cdot 10^{-71}:\\ \;\;\;\;\left(x \cdot x\right) \cdot \frac{x + y}{\frac{1}{x - y}}\\ \mathbf{elif}\;x \leq 8.2 \cdot 10^{-68}:\\ \;\;\;\;y \cdot \left(y \cdot t_0\right)\\ \mathbf{else}:\\ \;\;\;\;x \cdot \left(x \cdot t_0\right)\\ \end{array} \]
Alternative 5
Error0.3
Cost960
\[\left(x \cdot x + y \cdot y\right) \cdot \left(\left(x - y\right) \cdot \left(x + y\right)\right) \]
Alternative 6
Error19.9
Cost704
\[y \cdot \left(y \cdot \left(x \cdot x - y \cdot y\right)\right) \]
Alternative 7
Error20.1
Cost512
\[\left(y \cdot y\right) \cdot \left(y \cdot \left(-y\right)\right) \]
Alternative 8
Error39.8
Cost448
\[\left(x \cdot x\right) \cdot \left(y \cdot y\right) \]

Error

Reproduce?

herbie shell --seed 2023073 
(FPCore (x y)
  :name "Radioactive exchange between two surfaces"
  :precision binary64
  (- (pow x 4.0) (pow y 4.0)))