Math FPCore C Fortran Java Python Julia MATLAB Wolfram TeX \[\left(\frac{x}{2} + y \cdot x\right) + z
\]
↓
\[\frac{x}{2} + \left(x \cdot y + z\right)
\]
(FPCore (x y z) :precision binary64 (+ (+ (/ x 2.0) (* y x)) z)) ↓
(FPCore (x y z) :precision binary64 (+ (/ x 2.0) (+ (* x y) z))) double code(double x, double y, double z) {
return ((x / 2.0) + (y * x)) + z;
}
↓
double code(double x, double y, double z) {
return (x / 2.0) + ((x * y) + 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 / 2.0d0) + (y * x)) + 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 = (x / 2.0d0) + ((x * y) + z)
end function
public static double code(double x, double y, double z) {
return ((x / 2.0) + (y * x)) + z;
}
↓
public static double code(double x, double y, double z) {
return (x / 2.0) + ((x * y) + z);
}
def code(x, y, z):
return ((x / 2.0) + (y * x)) + z
↓
def code(x, y, z):
return (x / 2.0) + ((x * y) + z)
function code(x, y, z)
return Float64(Float64(Float64(x / 2.0) + Float64(y * x)) + z)
end
↓
function code(x, y, z)
return Float64(Float64(x / 2.0) + Float64(Float64(x * y) + z))
end
function tmp = code(x, y, z)
tmp = ((x / 2.0) + (y * x)) + z;
end
↓
function tmp = code(x, y, z)
tmp = (x / 2.0) + ((x * y) + z);
end
code[x_, y_, z_] := N[(N[(N[(x / 2.0), $MachinePrecision] + N[(y * x), $MachinePrecision]), $MachinePrecision] + z), $MachinePrecision]
↓
code[x_, y_, z_] := N[(N[(x / 2.0), $MachinePrecision] + N[(N[(x * y), $MachinePrecision] + z), $MachinePrecision]), $MachinePrecision]
\left(\frac{x}{2} + y \cdot x\right) + z
↓
\frac{x}{2} + \left(x \cdot y + z\right)
Alternatives Alternative 1 Error 27.2 Cost 984
\[\begin{array}{l}
\mathbf{if}\;z \leq -2 \cdot 10^{-27}:\\
\;\;\;\;z\\
\mathbf{elif}\;z \leq -1.35 \cdot 10^{-154}:\\
\;\;\;\;0.5 \cdot x\\
\mathbf{elif}\;z \leq -6.5 \cdot 10^{-196}:\\
\;\;\;\;y \cdot x\\
\mathbf{elif}\;z \leq 2.5 \cdot 10^{-149}:\\
\;\;\;\;0.5 \cdot x\\
\mathbf{elif}\;z \leq 2.02 \cdot 10^{-103}:\\
\;\;\;\;y \cdot x\\
\mathbf{elif}\;z \leq 2.25 \cdot 10^{-54}:\\
\;\;\;\;0.5 \cdot x\\
\mathbf{else}:\\
\;\;\;\;z\\
\end{array}
\]
Alternative 2 Error 16.1 Cost 584
\[\begin{array}{l}
\mathbf{if}\;z \leq -2.5 \cdot 10^{-13}:\\
\;\;\;\;z\\
\mathbf{elif}\;z \leq 7 \cdot 10^{-39}:\\
\;\;\;\;\left(0.5 + y\right) \cdot x\\
\mathbf{else}:\\
\;\;\;\;z\\
\end{array}
\]
Alternative 3 Error 10.8 Cost 584
\[\begin{array}{l}
t_0 := z + y \cdot x\\
\mathbf{if}\;z \leq -9.8 \cdot 10^{-116}:\\
\;\;\;\;t_0\\
\mathbf{elif}\;z \leq 8.8 \cdot 10^{-63}:\\
\;\;\;\;\left(0.5 + y\right) \cdot x\\
\mathbf{else}:\\
\;\;\;\;t_0\\
\end{array}
\]
Alternative 4 Error 0.8 Cost 584
\[\begin{array}{l}
t_0 := z + y \cdot x\\
\mathbf{if}\;y \leq -450:\\
\;\;\;\;t_0\\
\mathbf{elif}\;y \leq 3.5 \cdot 10^{-6}:\\
\;\;\;\;\frac{x}{2} + z\\
\mathbf{else}:\\
\;\;\;\;t_0\\
\end{array}
\]
Alternative 5 Error 0.0 Cost 576
\[\left(\frac{x}{2} + y \cdot x\right) + z
\]
Alternative 6 Error 27.0 Cost 456
\[\begin{array}{l}
\mathbf{if}\;z \leq -1.8 \cdot 10^{-30}:\\
\;\;\;\;z\\
\mathbf{elif}\;z \leq 1.6 \cdot 10^{-54}:\\
\;\;\;\;0.5 \cdot x\\
\mathbf{else}:\\
\;\;\;\;z\\
\end{array}
\]
Alternative 7 Error 0.0 Cost 448
\[z + \left(0.5 + y\right) \cdot x
\]
Alternative 8 Error 34.3 Cost 64
\[z
\]