Math FPCore C Fortran Java Python Julia MATLAB Wolfram TeX \[\frac{4 \cdot \left(\left(x - y\right) - z \cdot 0.5\right)}{z}
\]
↓
\[4 \cdot \frac{x - y}{z} - 2
\]
(FPCore (x y z) :precision binary64 (/ (* 4.0 (- (- x y) (* z 0.5))) z)) ↓
(FPCore (x y z) :precision binary64 (- (* 4.0 (/ (- x y) z)) 2.0)) double code(double x, double y, double z) {
return (4.0 * ((x - y) - (z * 0.5))) / z;
}
↓
double code(double x, double y, double z) {
return (4.0 * ((x - y) / z)) - 2.0;
}
real(8) function code(x, y, z)
real(8), intent (in) :: x
real(8), intent (in) :: y
real(8), intent (in) :: z
code = (4.0d0 * ((x - y) - (z * 0.5d0))) / 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 = (4.0d0 * ((x - y) / z)) - 2.0d0
end function
public static double code(double x, double y, double z) {
return (4.0 * ((x - y) - (z * 0.5))) / z;
}
↓
public static double code(double x, double y, double z) {
return (4.0 * ((x - y) / z)) - 2.0;
}
def code(x, y, z):
return (4.0 * ((x - y) - (z * 0.5))) / z
↓
def code(x, y, z):
return (4.0 * ((x - y) / z)) - 2.0
function code(x, y, z)
return Float64(Float64(4.0 * Float64(Float64(x - y) - Float64(z * 0.5))) / z)
end
↓
function code(x, y, z)
return Float64(Float64(4.0 * Float64(Float64(x - y) / z)) - 2.0)
end
function tmp = code(x, y, z)
tmp = (4.0 * ((x - y) - (z * 0.5))) / z;
end
↓
function tmp = code(x, y, z)
tmp = (4.0 * ((x - y) / z)) - 2.0;
end
code[x_, y_, z_] := N[(N[(4.0 * N[(N[(x - y), $MachinePrecision] - N[(z * 0.5), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / z), $MachinePrecision]
↓
code[x_, y_, z_] := N[(N[(4.0 * N[(N[(x - y), $MachinePrecision] / z), $MachinePrecision]), $MachinePrecision] - 2.0), $MachinePrecision]
\frac{4 \cdot \left(\left(x - y\right) - z \cdot 0.5\right)}{z}
↓
4 \cdot \frac{x - y}{z} - 2
Alternatives Alternative 1 Error 31.6 Cost 1112
\[\begin{array}{l}
t_0 := -4 \cdot \frac{y}{z}\\
t_1 := 4 \cdot \frac{x}{z}\\
\mathbf{if}\;x \leq -1.75 \cdot 10^{+55}:\\
\;\;\;\;t_1\\
\mathbf{elif}\;x \leq 3.6 \cdot 10^{-264}:\\
\;\;\;\;-2\\
\mathbf{elif}\;x \leq 2.7 \cdot 10^{-219}:\\
\;\;\;\;t_0\\
\mathbf{elif}\;x \leq 6.8 \cdot 10^{-118}:\\
\;\;\;\;-2\\
\mathbf{elif}\;x \leq 5.5 \cdot 10^{-68}:\\
\;\;\;\;t_0\\
\mathbf{elif}\;x \leq 3.5 \cdot 10^{-47}:\\
\;\;\;\;-2\\
\mathbf{else}:\\
\;\;\;\;t_1\\
\end{array}
\]
Alternative 2 Error 17.9 Cost 976
\[\begin{array}{l}
t_0 := 4 \cdot \frac{x - y}{z}\\
\mathbf{if}\;z \leq -2.55 \cdot 10^{+207}:\\
\;\;\;\;-2\\
\mathbf{elif}\;z \leq -1.8 \cdot 10^{+144}:\\
\;\;\;\;t_0\\
\mathbf{elif}\;z \leq -1.65 \cdot 10^{+102}:\\
\;\;\;\;-2\\
\mathbf{elif}\;z \leq 2.5 \cdot 10^{+67}:\\
\;\;\;\;t_0\\
\mathbf{else}:\\
\;\;\;\;-2\\
\end{array}
\]
Alternative 3 Error 10.3 Cost 976
\[\begin{array}{l}
t_0 := 4 \cdot \frac{x}{z} - 2\\
t_1 := -4 \cdot \frac{y}{z} - 2\\
\mathbf{if}\;y \leq -1.75 \cdot 10^{+117}:\\
\;\;\;\;t_1\\
\mathbf{elif}\;y \leq 4.6 \cdot 10^{-64}:\\
\;\;\;\;t_0\\
\mathbf{elif}\;y \leq 3.6 \cdot 10^{-9}:\\
\;\;\;\;4 \cdot \frac{x - y}{z}\\
\mathbf{elif}\;y \leq 8 \cdot 10^{+88}:\\
\;\;\;\;t_0\\
\mathbf{else}:\\
\;\;\;\;t_1\\
\end{array}
\]
Alternative 4 Error 11.6 Cost 712
\[\begin{array}{l}
t_0 := 4 \cdot \frac{x - y}{z}\\
\mathbf{if}\;x \leq -1.6 \cdot 10^{+55}:\\
\;\;\;\;t_0\\
\mathbf{elif}\;x \leq 2.25 \cdot 10^{+26}:\\
\;\;\;\;-4 \cdot \frac{y}{z} - 2\\
\mathbf{else}:\\
\;\;\;\;t_0\\
\end{array}
\]
Alternative 5 Error 29.8 Cost 584
\[\begin{array}{l}
\mathbf{if}\;z \leq -1.34 \cdot 10^{+79}:\\
\;\;\;\;-2\\
\mathbf{elif}\;z \leq 2.9 \cdot 10^{-13}:\\
\;\;\;\;-4 \cdot \frac{y}{z}\\
\mathbf{else}:\\
\;\;\;\;-2\\
\end{array}
\]
Alternative 6 Error 36.5 Cost 64
\[-2
\]