?

Average Error: 100.0% → 100.0%
Time: 19.9s
Precision: binary64
Cost: 13120.00

?

\[{x}^{4} - {y}^{4} \]
\[{x}^{4} - {y}^{4} \]
(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 100.0

    \[{x}^{4} - {y}^{4} \]
  2. Final simplification100.0

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

Alternatives

Alternative 1
Error99.6%
Cost7936.00
\[\left(x \cdot x + y \cdot y\right) \cdot \left(\left(x \cdot x - y \cdot y\right) + 2 \cdot \mathsf{fma}\left(-y, y, y \cdot y\right)\right) \]
Alternative 2
Error99.5%
Cost1344.00
\[\left(x \cdot x + y \cdot y\right) \cdot \left(\frac{y}{\frac{1}{x - y}} + x \cdot \left(x - y\right)\right) \]
Alternative 3
Error91.4%
Cost969.00
\[\begin{array}{l} \mathbf{if}\;y \leq -1.4 \cdot 10^{-80} \lor \neg \left(y \leq 3 \cdot 10^{-80}\right):\\ \;\;\;\;\left(y \cdot y\right) \cdot \left(y \cdot \left(-y\right)\right)\\ \mathbf{else}:\\ \;\;\;\;\left(x \cdot x\right) \cdot \left(x \cdot x - y \cdot y\right)\\ \end{array} \]
Alternative 4
Error99.5%
Cost960.00
\[\left(x \cdot x + y \cdot y\right) \cdot \left(x \cdot x - y \cdot y\right) \]
Alternative 5
Error68.3%
Cost512.00
\[\left(y \cdot y\right) \cdot \left(y \cdot \left(-y\right)\right) \]
Alternative 6
Error37.4%
Cost448.00
\[\left(x \cdot x\right) \cdot \left(y \cdot y\right) \]

Error

Reproduce?

herbie shell --seed 2023093 
(FPCore (x y)
  :name "Radioactive exchange between two surfaces"
  :precision binary64
  (- (pow x 4.0) (pow y 4.0)))