\[\frac{x - y}{2 - \left(x + y\right)}
\]
↓
\[\begin{array}{l}
t_0 := 2 - \left(x + y\right)\\
\frac{x}{t_0} - \frac{y}{t_0}
\end{array}
\]
(FPCore (x y) :precision binary64 (/ (- x y) (- 2.0 (+ x y))))
↓
(FPCore (x y)
:precision binary64
(let* ((t_0 (- 2.0 (+ x y)))) (- (/ x t_0) (/ y t_0))))
double code(double x, double y) {
return (x - y) / (2.0 - (x + y));
}
↓
double code(double x, double y) {
double t_0 = 2.0 - (x + y);
return (x / t_0) - (y / t_0);
}
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
real(8) :: t_0
t_0 = 2.0d0 - (x + y)
code = (x / t_0) - (y / t_0)
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) {
double t_0 = 2.0 - (x + y);
return (x / t_0) - (y / t_0);
}
def code(x, y):
return (x - y) / (2.0 - (x + y))
↓
def code(x, y):
t_0 = 2.0 - (x + y)
return (x / t_0) - (y / t_0)
function code(x, y)
return Float64(Float64(x - y) / Float64(2.0 - Float64(x + y)))
end
↓
function code(x, y)
t_0 = Float64(2.0 - Float64(x + y))
return Float64(Float64(x / t_0) - Float64(y / t_0))
end
function tmp = code(x, y)
tmp = (x - y) / (2.0 - (x + y));
end
↓
function tmp = code(x, y)
t_0 = 2.0 - (x + y);
tmp = (x / t_0) - (y / t_0);
end
code[x_, y_] := N[(N[(x - y), $MachinePrecision] / N[(2.0 - N[(x + y), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
↓
code[x_, y_] := Block[{t$95$0 = N[(2.0 - N[(x + y), $MachinePrecision]), $MachinePrecision]}, N[(N[(x / t$95$0), $MachinePrecision] - N[(y / t$95$0), $MachinePrecision]), $MachinePrecision]]
\frac{x - y}{2 - \left(x + y\right)}
↓
\begin{array}{l}
t_0 := 2 - \left(x + y\right)\\
\frac{x}{t_0} - \frac{y}{t_0}
\end{array}
Alternatives
| Alternative 1 |
|---|
| Error | 24.5 |
|---|
| Cost | 848 |
|---|
\[\begin{array}{l}
t_0 := 1 - \frac{x}{y}\\
\mathbf{if}\;y \leq -2.8 \cdot 10^{+39}:\\
\;\;\;\;t_0\\
\mathbf{elif}\;y \leq 2.3 \cdot 10^{-300}:\\
\;\;\;\;-1\\
\mathbf{elif}\;y \leq 2.8 \cdot 10^{-254}:\\
\;\;\;\;x \cdot 0.5\\
\mathbf{elif}\;y \leq 2.8 \cdot 10^{+56}:\\
\;\;\;\;-1\\
\mathbf{else}:\\
\;\;\;\;t_0\\
\end{array}
\]
| Alternative 2 |
|---|
| Error | 16.4 |
|---|
| Cost | 848 |
|---|
\[\begin{array}{l}
t_0 := 1 - \frac{x}{y}\\
t_1 := \frac{x}{2 - x}\\
\mathbf{if}\;y \leq -2.65 \cdot 10^{+39}:\\
\;\;\;\;t_0\\
\mathbf{elif}\;y \leq 1.7 \cdot 10^{-6}:\\
\;\;\;\;t_1\\
\mathbf{elif}\;y \leq 4.9 \cdot 10^{+36}:\\
\;\;\;\;\frac{y}{y + -2}\\
\mathbf{elif}\;y \leq 6.5 \cdot 10^{+55}:\\
\;\;\;\;t_1\\
\mathbf{else}:\\
\;\;\;\;t_0\\
\end{array}
\]
| Alternative 3 |
|---|
| Error | 24.6 |
|---|
| Cost | 592 |
|---|
\[\begin{array}{l}
\mathbf{if}\;y \leq -2.75 \cdot 10^{+39}:\\
\;\;\;\;1\\
\mathbf{elif}\;y \leq 1.3 \cdot 10^{-301}:\\
\;\;\;\;-1\\
\mathbf{elif}\;y \leq 5.4 \cdot 10^{-255}:\\
\;\;\;\;x \cdot 0.5\\
\mathbf{elif}\;y \leq 6.5 \cdot 10^{+55}:\\
\;\;\;\;-1\\
\mathbf{else}:\\
\;\;\;\;1\\
\end{array}
\]
| Alternative 4 |
|---|
| Error | 16.6 |
|---|
| Cost | 585 |
|---|
\[\begin{array}{l}
\mathbf{if}\;y \leq -1.92 \cdot 10^{+40} \lor \neg \left(y \leq 2.8 \cdot 10^{+56}\right):\\
\;\;\;\;1 - \frac{x}{y}\\
\mathbf{else}:\\
\;\;\;\;\frac{x}{2 - x}\\
\end{array}
\]
| Alternative 5 |
|---|
| Error | 0.0 |
|---|
| Cost | 576 |
|---|
\[\frac{x - y}{2 - \left(x + y\right)}
\]
| Alternative 6 |
|---|
| Error | 24.5 |
|---|
| Cost | 328 |
|---|
\[\begin{array}{l}
\mathbf{if}\;y \leq -1.36 \cdot 10^{+40}:\\
\;\;\;\;1\\
\mathbf{elif}\;y \leq 3.3 \cdot 10^{+56}:\\
\;\;\;\;-1\\
\mathbf{else}:\\
\;\;\;\;1\\
\end{array}
\]
| Alternative 7 |
|---|
| Error | 39.9 |
|---|
| Cost | 64 |
|---|
\[-1
\]