\[\frac{x - y}{2 - \left(x + y\right)}
\]
↓
\[\frac{x - y}{2 - \left(x + y\right)}
\]
(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(2.0 - Float64(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[(2.0 - N[(x + y), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\frac{x - y}{2 - \left(x + y\right)}
↓
\frac{x - y}{2 - \left(x + y\right)}
Alternatives
| Alternative 1 |
|---|
| Error | 25.9 |
|---|
| Cost | 1244 |
|---|
\[\begin{array}{l}
t_0 := 1 + \frac{2}{y}\\
\mathbf{if}\;y \leq -2000000000:\\
\;\;\;\;t_0\\
\mathbf{elif}\;y \leq -5.9 \cdot 10^{-168}:\\
\;\;\;\;-1\\
\mathbf{elif}\;y \leq 4.6 \cdot 10^{-293}:\\
\;\;\;\;x \cdot 0.5\\
\mathbf{elif}\;y \leq 2.4 \cdot 10^{-200}:\\
\;\;\;\;-1\\
\mathbf{elif}\;y \leq 1.16 \cdot 10^{-159}:\\
\;\;\;\;x \cdot 0.5\\
\mathbf{elif}\;y \leq 360000:\\
\;\;\;\;-1\\
\mathbf{elif}\;y \leq 2.8 \cdot 10^{+98}:\\
\;\;\;\;t_0\\
\mathbf{elif}\;y \leq 1.35 \cdot 10^{+107}:\\
\;\;\;\;-1\\
\mathbf{else}:\\
\;\;\;\;1\\
\end{array}
\]
| Alternative 2 |
|---|
| Error | 26.2 |
|---|
| Cost | 1120 |
|---|
\[\begin{array}{l}
\mathbf{if}\;y \leq -25000000000:\\
\;\;\;\;1\\
\mathbf{elif}\;y \leq -8.6 \cdot 10^{-173}:\\
\;\;\;\;-1\\
\mathbf{elif}\;y \leq 8 \cdot 10^{-293}:\\
\;\;\;\;x \cdot 0.5\\
\mathbf{elif}\;y \leq 1.7 \cdot 10^{-195}:\\
\;\;\;\;-1\\
\mathbf{elif}\;y \leq 2.35 \cdot 10^{-159}:\\
\;\;\;\;x \cdot 0.5\\
\mathbf{elif}\;y \leq 5200:\\
\;\;\;\;-1\\
\mathbf{elif}\;y \leq 4 \cdot 10^{+87}:\\
\;\;\;\;1\\
\mathbf{elif}\;y \leq 1.32 \cdot 10^{+107}:\\
\;\;\;\;-1\\
\mathbf{else}:\\
\;\;\;\;1\\
\end{array}
\]
| Alternative 3 |
|---|
| Error | 16.8 |
|---|
| Cost | 848 |
|---|
\[\begin{array}{l}
t_0 := 1 + \frac{2}{y}\\
t_1 := \frac{x}{2 - x}\\
\mathbf{if}\;y \leq -1960000000:\\
\;\;\;\;t_0\\
\mathbf{elif}\;y \leq 380000:\\
\;\;\;\;t_1\\
\mathbf{elif}\;y \leq 2.4 \cdot 10^{+98}:\\
\;\;\;\;t_0\\
\mathbf{elif}\;y \leq 6.8 \cdot 10^{+108}:\\
\;\;\;\;t_1\\
\mathbf{else}:\\
\;\;\;\;1\\
\end{array}
\]
| Alternative 4 |
|---|
| Error | 16.7 |
|---|
| Cost | 848 |
|---|
\[\begin{array}{l}
t_0 := \frac{x}{2 - x}\\
\mathbf{if}\;y \leq -1960000000:\\
\;\;\;\;1 + \frac{2}{y}\\
\mathbf{elif}\;y \leq 6.5 \cdot 10^{-13}:\\
\;\;\;\;t_0\\
\mathbf{elif}\;y \leq 2.8 \cdot 10^{+98}:\\
\;\;\;\;\frac{-y}{2 - y}\\
\mathbf{elif}\;y \leq 3.5 \cdot 10^{+109}:\\
\;\;\;\;t_0\\
\mathbf{else}:\\
\;\;\;\;1\\
\end{array}
\]
| Alternative 5 |
|---|
| Error | 24.4 |
|---|
| Cost | 592 |
|---|
\[\begin{array}{l}
\mathbf{if}\;y \leq -3400000000:\\
\;\;\;\;1\\
\mathbf{elif}\;y \leq 380000:\\
\;\;\;\;-1\\
\mathbf{elif}\;y \leq 2.8 \cdot 10^{+98}:\\
\;\;\;\;1\\
\mathbf{elif}\;y \leq 1.32 \cdot 10^{+107}:\\
\;\;\;\;-1\\
\mathbf{else}:\\
\;\;\;\;1\\
\end{array}
\]
| Alternative 6 |
|---|
| Error | 39.4 |
|---|
| Cost | 64 |
|---|
\[-1
\]