\[{x}^{4} - {y}^{4}
\]
↓
\[{x}^{4} - {y}^{4}
\]
(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}
Alternatives
| Alternative 1 |
|---|
| Error | 0.3 |
|---|
| Cost | 1348 |
|---|
\[\left(y \cdot y + x \cdot x\right) \cdot \begin{array}{l}
\mathbf{if}\;x + y \ne 0:\\
\;\;\;\;\frac{x - y}{\frac{1}{x + y}}\\
\mathbf{else}:\\
\;\;\;\;\left(x + y\right) \cdot \left(x - y\right)\\
\end{array}
\]
| Alternative 2 |
|---|
| Error | 5.5 |
|---|
| Cost | 968 |
|---|
\[\begin{array}{l}
t_0 := \left(x \cdot x\right) \cdot \left(\left(x + y\right) \cdot \left(x - y\right)\right)\\
\mathbf{if}\;x \leq -5 \cdot 10^{-78}:\\
\;\;\;\;t_0\\
\mathbf{elif}\;x \leq 1.8 \cdot 10^{-61}:\\
\;\;\;\;\left(y \cdot y\right) \cdot \left(-y \cdot y\right)\\
\mathbf{else}:\\
\;\;\;\;t_0\\
\end{array}
\]
| Alternative 3 |
|---|
| Error | 5.5 |
|---|
| Cost | 968 |
|---|
\[\begin{array}{l}
t_0 := \left(x + y\right) \cdot \left(x - y\right)\\
t_1 := \left(x \cdot x\right) \cdot t_0\\
\mathbf{if}\;x \leq -3.05 \cdot 10^{-78}:\\
\;\;\;\;t_1\\
\mathbf{elif}\;x \leq 2.9 \cdot 10^{-62}:\\
\;\;\;\;\left(y \cdot y\right) \cdot t_0\\
\mathbf{else}:\\
\;\;\;\;t_1\\
\end{array}
\]
| Alternative 4 |
|---|
| Error | 5.4 |
|---|
| Cost | 968 |
|---|
\[\begin{array}{l}
t_0 := \left(x \cdot x\right) \cdot \left(\left(x + y\right) \cdot \left(x - y\right)\right)\\
\mathbf{if}\;x \leq -6 \cdot 10^{-79}:\\
\;\;\;\;t_0\\
\mathbf{elif}\;x \leq 2.9 \cdot 10^{-62}:\\
\;\;\;\;\left(x + y\right) \cdot \left(\left(y \cdot y\right) \cdot \left(x - y\right)\right)\\
\mathbf{else}:\\
\;\;\;\;t_0\\
\end{array}
\]
| Alternative 5 |
|---|
| Error | 5.4 |
|---|
| Cost | 968 |
|---|
\[\begin{array}{l}
t_0 := \left(x - y\right) \cdot \left(x \cdot \left(x \cdot \left(x + y\right)\right)\right)\\
\mathbf{if}\;x \leq -8 \cdot 10^{-79}:\\
\;\;\;\;t_0\\
\mathbf{elif}\;x \leq 3.1 \cdot 10^{-62}:\\
\;\;\;\;\left(x + y\right) \cdot \left(\left(y \cdot y\right) \cdot \left(x - y\right)\right)\\
\mathbf{else}:\\
\;\;\;\;t_0\\
\end{array}
\]
| Alternative 6 |
|---|
| Error | 0.3 |
|---|
| Cost | 960 |
|---|
\[\left(y \cdot y + x \cdot x\right) \cdot \left(\left(x + y\right) \cdot \left(x - y\right)\right)
\]
| Alternative 7 |
|---|
| Error | 5.7 |
|---|
| Cost | 840 |
|---|
\[\begin{array}{l}
t_0 := \left(x - y\right) \cdot \left(x \cdot \left(x \cdot x\right)\right)\\
\mathbf{if}\;x \leq -1.25 \cdot 10^{-77}:\\
\;\;\;\;t_0\\
\mathbf{elif}\;x \leq 5.8 \cdot 10^{-62}:\\
\;\;\;\;\left(y \cdot y\right) \cdot \left(-y \cdot y\right)\\
\mathbf{else}:\\
\;\;\;\;t_0\\
\end{array}
\]
| Alternative 8 |
|---|
| Error | 20.0 |
|---|
| Cost | 512 |
|---|
\[\left(y \cdot y\right) \cdot \left(-y \cdot y\right)
\]