\[x + y \cdot \left(z + x\right)
\]
↓
\[x + y \cdot \left(x + z\right)
\]
(FPCore (x y z) :precision binary64 (+ x (* y (+ z x))))
↓
(FPCore (x y z) :precision binary64 (+ x (* y (+ x z))))
double code(double x, double y, double z) {
return x + (y * (z + x));
}
↓
double code(double x, double y, double z) {
return x + (y * (x + z));
}
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 * (z + x))
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 = x + (y * (x + z))
end function
public static double code(double x, double y, double z) {
return x + (y * (z + x));
}
↓
public static double code(double x, double y, double z) {
return x + (y * (x + z));
}
def code(x, y, z):
return x + (y * (z + x))
↓
def code(x, y, z):
return x + (y * (x + z))
function code(x, y, z)
return Float64(x + Float64(y * Float64(z + x)))
end
↓
function code(x, y, z)
return Float64(x + Float64(y * Float64(x + z)))
end
function tmp = code(x, y, z)
tmp = x + (y * (z + x));
end
↓
function tmp = code(x, y, z)
tmp = x + (y * (x + z));
end
code[x_, y_, z_] := N[(x + N[(y * N[(z + x), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
↓
code[x_, y_, z_] := N[(x + N[(y * N[(x + z), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
x + y \cdot \left(z + x\right)
↓
x + y \cdot \left(x + z\right)
Alternatives
| Alternative 1 |
|---|
| Error | 1.1 |
|---|
| Cost | 712 |
|---|
\[\begin{array}{l}
\mathbf{if}\;y \leq -2657987569.5695033:\\
\;\;\;\;y \cdot \left(x + z\right)\\
\mathbf{elif}\;y \leq 5.224304386063089 \cdot 10^{-6}:\\
\;\;\;\;x + y \cdot z\\
\mathbf{else}:\\
\;\;\;\;y \cdot z + x \cdot y\\
\end{array}
\]
| Alternative 2 |
|---|
| Error | 23.5 |
|---|
| Cost | 588 |
|---|
\[\begin{array}{l}
\mathbf{if}\;y \leq -2.8 \cdot 10^{+47}:\\
\;\;\;\;x \cdot y\\
\mathbf{elif}\;y \leq -1.682011494910736 \cdot 10^{-14}:\\
\;\;\;\;y \cdot z\\
\mathbf{elif}\;y \leq 4.0474358694206313 \cdot 10^{-44}:\\
\;\;\;\;x\\
\mathbf{else}:\\
\;\;\;\;y \cdot z\\
\end{array}
\]
| Alternative 3 |
|---|
| Error | 16.5 |
|---|
| Cost | 584 |
|---|
\[\begin{array}{l}
t_0 := x \cdot \left(y + 1\right)\\
\mathbf{if}\;x \leq -6.916207553648999 \cdot 10^{-178}:\\
\;\;\;\;t_0\\
\mathbf{elif}\;x \leq 3.6210440002453874 \cdot 10^{-169}:\\
\;\;\;\;y \cdot z\\
\mathbf{else}:\\
\;\;\;\;t_0\\
\end{array}
\]
| Alternative 4 |
|---|
| Error | 16.5 |
|---|
| Cost | 584 |
|---|
\[\begin{array}{l}
\mathbf{if}\;x \leq -6.916207553648999 \cdot 10^{-178}:\\
\;\;\;\;x + x \cdot y\\
\mathbf{elif}\;x \leq 3.6210440002453874 \cdot 10^{-169}:\\
\;\;\;\;y \cdot z\\
\mathbf{else}:\\
\;\;\;\;x \cdot \left(y + 1\right)\\
\end{array}
\]
| Alternative 5 |
|---|
| Error | 12.1 |
|---|
| Cost | 584 |
|---|
\[\begin{array}{l}
t_0 := y \cdot \left(x + z\right)\\
\mathbf{if}\;y \leq -1.682011494910736 \cdot 10^{-14}:\\
\;\;\;\;t_0\\
\mathbf{elif}\;y \leq 4.0474358694206313 \cdot 10^{-44}:\\
\;\;\;\;x \cdot \left(y + 1\right)\\
\mathbf{else}:\\
\;\;\;\;t_0\\
\end{array}
\]
| Alternative 6 |
|---|
| Error | 1.1 |
|---|
| Cost | 584 |
|---|
\[\begin{array}{l}
t_0 := y \cdot \left(x + z\right)\\
\mathbf{if}\;y \leq -2657987569.5695033:\\
\;\;\;\;t_0\\
\mathbf{elif}\;y \leq 5.224304386063089 \cdot 10^{-6}:\\
\;\;\;\;x + y \cdot z\\
\mathbf{else}:\\
\;\;\;\;t_0\\
\end{array}
\]
| Alternative 7 |
|---|
| Error | 23.5 |
|---|
| Cost | 456 |
|---|
\[\begin{array}{l}
\mathbf{if}\;y \leq -1.682011494910736 \cdot 10^{-14}:\\
\;\;\;\;y \cdot z\\
\mathbf{elif}\;y \leq 4.0474358694206313 \cdot 10^{-44}:\\
\;\;\;\;x\\
\mathbf{else}:\\
\;\;\;\;y \cdot z\\
\end{array}
\]
| Alternative 8 |
|---|
| Error | 34.9 |
|---|
| Cost | 64 |
|---|
\[x
\]