\[x + \frac{\left|y - x\right|}{2}
\]
↓
\[x + \frac{\left|y - x\right|}{2}
\]
(FPCore (x y) :precision binary64 (+ x (/ (fabs (- y x)) 2.0)))
↓
(FPCore (x y) :precision binary64 (+ x (/ (fabs (- y x)) 2.0)))
double code(double x, double y) {
return x + (fabs((y - x)) / 2.0);
}
↓
double code(double x, double y) {
return x + (fabs((y - x)) / 2.0);
}
real(8) function code(x, y)
real(8), intent (in) :: x
real(8), intent (in) :: y
code = x + (abs((y - x)) / 2.0d0)
end function
↓
real(8) function code(x, y)
real(8), intent (in) :: x
real(8), intent (in) :: y
code = x + (abs((y - x)) / 2.0d0)
end function
public static double code(double x, double y) {
return x + (Math.abs((y - x)) / 2.0);
}
↓
public static double code(double x, double y) {
return x + (Math.abs((y - x)) / 2.0);
}
def code(x, y):
return x + (math.fabs((y - x)) / 2.0)
↓
def code(x, y):
return x + (math.fabs((y - x)) / 2.0)
function code(x, y)
return Float64(x + Float64(abs(Float64(y - x)) / 2.0))
end
↓
function code(x, y)
return Float64(x + Float64(abs(Float64(y - x)) / 2.0))
end
function tmp = code(x, y)
tmp = x + (abs((y - x)) / 2.0);
end
↓
function tmp = code(x, y)
tmp = x + (abs((y - x)) / 2.0);
end
code[x_, y_] := N[(x + N[(N[Abs[N[(y - x), $MachinePrecision]], $MachinePrecision] / 2.0), $MachinePrecision]), $MachinePrecision]
↓
code[x_, y_] := N[(x + N[(N[Abs[N[(y - x), $MachinePrecision]], $MachinePrecision] / 2.0), $MachinePrecision]), $MachinePrecision]
x + \frac{\left|y - x\right|}{2}
↓
x + \frac{\left|y - x\right|}{2}
Alternatives
| Alternative 1 |
|---|
| Error | 10.8 |
|---|
| Cost | 6984 |
|---|
\[\begin{array}{l}
\mathbf{if}\;x \leq -6.262378623733883 \cdot 10^{-60}:\\
\;\;\;\;0.5 \cdot \left(x + y\right)\\
\mathbf{elif}\;x \leq 6.381963776963749 \cdot 10^{-50}:\\
\;\;\;\;\left|y - x\right| \cdot 0.5\\
\mathbf{else}:\\
\;\;\;\;y \cdot -0.5 + x \cdot 1.5\\
\end{array}
\]
| Alternative 2 |
|---|
| Error | 14.0 |
|---|
| Cost | 844 |
|---|
\[\begin{array}{l}
t_0 := y \cdot -0.5 + x \cdot 1.5\\
t_1 := 0.5 \cdot \left(x + y\right)\\
\mathbf{if}\;y \leq -2.60600662397732 \cdot 10^{-229}:\\
\;\;\;\;t_0\\
\mathbf{elif}\;y \leq 1.8534759477598414 \cdot 10^{-257}:\\
\;\;\;\;t_1\\
\mathbf{elif}\;y \leq 3.8248835631611126 \cdot 10^{-190}:\\
\;\;\;\;t_0\\
\mathbf{else}:\\
\;\;\;\;t_1\\
\end{array}
\]
| Alternative 3 |
|---|
| Error | 27.7 |
|---|
| Cost | 720 |
|---|
\[\begin{array}{l}
\mathbf{if}\;y \leq -1.4042060155795977 \cdot 10^{+185}:\\
\;\;\;\;y \cdot -0.5\\
\mathbf{elif}\;y \leq -2.296173165173561 \cdot 10^{+81}:\\
\;\;\;\;x \cdot 0.5\\
\mathbf{elif}\;y \leq -9.874016542640198 \cdot 10^{-87}:\\
\;\;\;\;y \cdot -0.5\\
\mathbf{elif}\;y \leq 3.5126967761440595 \cdot 10^{-75}:\\
\;\;\;\;x \cdot 0.5\\
\mathbf{else}:\\
\;\;\;\;y \cdot 0.5\\
\end{array}
\]
| Alternative 4 |
|---|
| Error | 21.8 |
|---|
| Cost | 716 |
|---|
\[\begin{array}{l}
t_0 := 0.5 \cdot \left(x + y\right)\\
\mathbf{if}\;y \leq -1.4042060155795977 \cdot 10^{+185}:\\
\;\;\;\;y \cdot -0.5\\
\mathbf{elif}\;y \leq -2.296173165173561 \cdot 10^{+81}:\\
\;\;\;\;t_0\\
\mathbf{elif}\;y \leq -9.874016542640198 \cdot 10^{-87}:\\
\;\;\;\;y \cdot -0.5\\
\mathbf{else}:\\
\;\;\;\;t_0\\
\end{array}
\]
| Alternative 5 |
|---|
| Error | 30.5 |
|---|
| Cost | 456 |
|---|
\[\begin{array}{l}
\mathbf{if}\;y \leq -6.685557824361518 \cdot 10^{-229}:\\
\;\;\;\;y \cdot -0.5\\
\mathbf{elif}\;y \leq 3.1990799242045457 \cdot 10^{-198}:\\
\;\;\;\;x\\
\mathbf{else}:\\
\;\;\;\;y \cdot 0.5\\
\end{array}
\]
| Alternative 6 |
|---|
| Error | 43.6 |
|---|
| Cost | 324 |
|---|
\[\begin{array}{l}
\mathbf{if}\;y \leq -6.685557824361518 \cdot 10^{-229}:\\
\;\;\;\;y \cdot -0.5\\
\mathbf{else}:\\
\;\;\;\;x\\
\end{array}
\]
| Alternative 7 |
|---|
| Error | 56.8 |
|---|
| Cost | 64 |
|---|
\[x
\]