\[\left(x + y\right) \cdot \left(1 - z\right)
\]
↓
\[\left(1 - z\right) \cdot \left(x + y\right)
\]
(FPCore (x y z) :precision binary64 (* (+ x y) (- 1.0 z)))
↓
(FPCore (x y z) :precision binary64 (* (- 1.0 z) (+ x y)))
double code(double x, double y, double z) {
return (x + y) * (1.0 - z);
}
↓
double code(double x, double y, double z) {
return (1.0 - z) * (x + y);
}
real(8) function code(x, y, z)
real(8), intent (in) :: x
real(8), intent (in) :: y
real(8), intent (in) :: z
code = (x + y) * (1.0d0 - z)
end function
↓
real(8) function code(x, y, z)
real(8), intent (in) :: x
real(8), intent (in) :: y
real(8), intent (in) :: z
code = (1.0d0 - z) * (x + y)
end function
public static double code(double x, double y, double z) {
return (x + y) * (1.0 - z);
}
↓
public static double code(double x, double y, double z) {
return (1.0 - z) * (x + y);
}
def code(x, y, z):
return (x + y) * (1.0 - z)
↓
def code(x, y, z):
return (1.0 - z) * (x + y)
function code(x, y, z)
return Float64(Float64(x + y) * Float64(1.0 - z))
end
↓
function code(x, y, z)
return Float64(Float64(1.0 - z) * Float64(x + y))
end
function tmp = code(x, y, z)
tmp = (x + y) * (1.0 - z);
end
↓
function tmp = code(x, y, z)
tmp = (1.0 - z) * (x + y);
end
code[x_, y_, z_] := N[(N[(x + y), $MachinePrecision] * N[(1.0 - z), $MachinePrecision]), $MachinePrecision]
↓
code[x_, y_, z_] := N[(N[(1.0 - z), $MachinePrecision] * N[(x + y), $MachinePrecision]), $MachinePrecision]
\left(x + y\right) \cdot \left(1 - z\right)
↓
\left(1 - z\right) \cdot \left(x + y\right)
Alternatives
| Alternative 1 |
|---|
| Error | 31.8 |
|---|
| Cost | 1360 |
|---|
\[\begin{array}{l}
t_0 := x \cdot \left(-z\right)\\
t_1 := 1 - z \leq 1\\
t_2 := y \cdot \left(1 - z\right)\\
\mathbf{if}\;1 - z \leq -2 \cdot 10^{+63}:\\
\;\;\;\;t_0\\
\mathbf{elif}\;t_1:\\
\;\;\;\;t_2\\
\mathbf{elif}\;t_1:\\
\;\;\;\;x + y\\
\mathbf{elif}\;1 - z \leq 2 \cdot 10^{+230}:\\
\;\;\;\;t_2\\
\mathbf{else}:\\
\;\;\;\;t_0\\
\end{array}
\]
| Alternative 2 |
|---|
| Error | 1.7 |
|---|
| Cost | 904 |
|---|
\[\begin{array}{l}
t_0 := z \cdot \left(\left(-x\right) - y\right)\\
\mathbf{if}\;1 - z \leq -1000:\\
\;\;\;\;t_0\\
\mathbf{elif}\;1 - z \leq 2:\\
\;\;\;\;x + y\\
\mathbf{else}:\\
\;\;\;\;t_0\\
\end{array}
\]
| Alternative 3 |
|---|
| Error | 13.2 |
|---|
| Cost | 784 |
|---|
\[\begin{array}{l}
t_0 := x \cdot \left(-z\right)\\
t_1 := y \cdot \left(-z\right)\\
\mathbf{if}\;z \leq -6.5 \cdot 10^{+241}:\\
\;\;\;\;t_0\\
\mathbf{elif}\;z \leq -90.52824959493338:\\
\;\;\;\;t_1\\
\mathbf{elif}\;z \leq 0.04926273631980786:\\
\;\;\;\;x + y\\
\mathbf{elif}\;z \leq 2.2 \cdot 10^{+61}:\\
\;\;\;\;t_1\\
\mathbf{else}:\\
\;\;\;\;t_0\\
\end{array}
\]
| Alternative 4 |
|---|
| Error | 39.2 |
|---|
| Cost | 724 |
|---|
\[\begin{array}{l}
\mathbf{if}\;x \leq -2.133560027286674 \cdot 10^{-9}:\\
\;\;\;\;x\\
\mathbf{elif}\;x \leq -4.309502224425701 \cdot 10^{-31}:\\
\;\;\;\;y\\
\mathbf{elif}\;x \leq -1.853948378153427 \cdot 10^{-77}:\\
\;\;\;\;x\\
\mathbf{elif}\;x \leq -7.212198100029341 \cdot 10^{-160}:\\
\;\;\;\;y\\
\mathbf{elif}\;x \leq -5.0140733100900255 \cdot 10^{-203}:\\
\;\;\;\;x\\
\mathbf{else}:\\
\;\;\;\;y\\
\end{array}
\]
| Alternative 5 |
|---|
| Error | 13.0 |
|---|
| Cost | 520 |
|---|
\[\begin{array}{l}
t_0 := x \cdot \left(-z\right)\\
\mathbf{if}\;z \leq -399338645.6769561:\\
\;\;\;\;t_0\\
\mathbf{elif}\;z \leq 0.04926273631980786:\\
\;\;\;\;x + y\\
\mathbf{else}:\\
\;\;\;\;t_0\\
\end{array}
\]
| Alternative 6 |
|---|
| Error | 23.9 |
|---|
| Cost | 192 |
|---|
\[x + y
\]
| Alternative 7 |
|---|
| Error | 43.3 |
|---|
| Cost | 64 |
|---|
\[x
\]