\[\frac{x - y}{2 - \left(x + y\right)}
\]
↓
\[\frac{x - y}{\left(2 - x\right) - y}
\]
(FPCore (x y) :precision binary64 (/ (- x y) (- 2.0 (+ x y))))
↓
(FPCore (x y) :precision binary64 (/ (- x y) (- (- 2.0 x) y)))
double code(double x, double y) {
return (x - y) / (2.0 - (x + y));
}
↓
double code(double x, double y) {
return (x - y) / ((2.0 - x) - y);
}
real(8) function code(x, y)
real(8), intent (in) :: x
real(8), intent (in) :: y
code = (x - y) / (2.0d0 - (x + y))
end function
↓
real(8) function code(x, y)
real(8), intent (in) :: x
real(8), intent (in) :: y
code = (x - y) / ((2.0d0 - x) - y)
end function
public static double code(double x, double y) {
return (x - y) / (2.0 - (x + y));
}
↓
public static double code(double x, double y) {
return (x - y) / ((2.0 - x) - y);
}
def code(x, y):
return (x - y) / (2.0 - (x + y))
↓
def code(x, y):
return (x - y) / ((2.0 - x) - y)
function code(x, y)
return Float64(Float64(x - y) / Float64(2.0 - Float64(x + y)))
end
↓
function code(x, y)
return Float64(Float64(x - y) / Float64(Float64(2.0 - x) - y))
end
function tmp = code(x, y)
tmp = (x - y) / (2.0 - (x + y));
end
↓
function tmp = code(x, y)
tmp = (x - y) / ((2.0 - x) - y);
end
code[x_, y_] := N[(N[(x - y), $MachinePrecision] / N[(2.0 - N[(x + y), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
↓
code[x_, y_] := N[(N[(x - y), $MachinePrecision] / N[(N[(2.0 - x), $MachinePrecision] - y), $MachinePrecision]), $MachinePrecision]
\frac{x - y}{2 - \left(x + y\right)}
↓
\frac{x - y}{\left(2 - x\right) - y}
Alternatives
| Alternative 1 |
|---|
| Error | 25.3 |
|---|
| Cost | 856 |
|---|
\[\begin{array}{l}
\mathbf{if}\;x \leq -1.3331169617255747 \cdot 10^{+38}:\\
\;\;\;\;-1\\
\mathbf{elif}\;x \leq -1.3726830097278183 \cdot 10^{-104}:\\
\;\;\;\;1\\
\mathbf{elif}\;x \leq -5.295156052286724 \cdot 10^{-170}:\\
\;\;\;\;x \cdot 0.5\\
\mathbf{elif}\;x \leq -1.2114677715770131 \cdot 10^{-206}:\\
\;\;\;\;1\\
\mathbf{elif}\;x \leq 2.4947595255381554 \cdot 10^{-291}:\\
\;\;\;\;y \cdot -0.5\\
\mathbf{elif}\;x \leq 4.304110283995504 \cdot 10^{+20}:\\
\;\;\;\;1\\
\mathbf{else}:\\
\;\;\;\;-1\\
\end{array}
\]
| Alternative 2 |
|---|
| Error | 25.7 |
|---|
| Cost | 856 |
|---|
\[\begin{array}{l}
\mathbf{if}\;x \leq -6.953982642352497 \cdot 10^{+78}:\\
\;\;\;\;-1\\
\mathbf{elif}\;x \leq -1.3726830097278183 \cdot 10^{-104}:\\
\;\;\;\;1 + \frac{2}{y}\\
\mathbf{elif}\;x \leq -5.295156052286724 \cdot 10^{-170}:\\
\;\;\;\;x \cdot 0.5\\
\mathbf{elif}\;x \leq -1.2114677715770131 \cdot 10^{-206}:\\
\;\;\;\;1\\
\mathbf{elif}\;x \leq 2.4947595255381554 \cdot 10^{-291}:\\
\;\;\;\;y \cdot -0.5\\
\mathbf{elif}\;x \leq 4.304110283995504 \cdot 10^{+20}:\\
\;\;\;\;1\\
\mathbf{else}:\\
\;\;\;\;-1\\
\end{array}
\]
| Alternative 3 |
|---|
| Error | 24.6 |
|---|
| Cost | 592 |
|---|
\[\begin{array}{l}
\mathbf{if}\;x \leq -1.3331169617255747 \cdot 10^{+38}:\\
\;\;\;\;-1\\
\mathbf{elif}\;x \leq -1.3726830097278183 \cdot 10^{-104}:\\
\;\;\;\;1\\
\mathbf{elif}\;x \leq -5.295156052286724 \cdot 10^{-170}:\\
\;\;\;\;x \cdot 0.5\\
\mathbf{elif}\;x \leq 4.304110283995504 \cdot 10^{+20}:\\
\;\;\;\;1\\
\mathbf{else}:\\
\;\;\;\;-1\\
\end{array}
\]
| Alternative 4 |
|---|
| Error | 16.4 |
|---|
| Cost | 584 |
|---|
\[\begin{array}{l}
\mathbf{if}\;y \leq -1.2611519542071663 \cdot 10^{+82}:\\
\;\;\;\;1\\
\mathbf{elif}\;y \leq 6.538231839633215 \cdot 10^{+28}:\\
\;\;\;\;\frac{x}{2 - x}\\
\mathbf{else}:\\
\;\;\;\;1\\
\end{array}
\]
| Alternative 5 |
|---|
| Error | 23.6 |
|---|
| Cost | 328 |
|---|
\[\begin{array}{l}
\mathbf{if}\;x \leq -1.3331169617255747 \cdot 10^{+38}:\\
\;\;\;\;-1\\
\mathbf{elif}\;x \leq 4.304110283995504 \cdot 10^{+20}:\\
\;\;\;\;1\\
\mathbf{else}:\\
\;\;\;\;-1\\
\end{array}
\]
| Alternative 6 |
|---|
| Error | 39.6 |
|---|
| Cost | 64 |
|---|
\[-1
\]