Math FPCore C Fortran Java Python Julia MATLAB Wolfram TeX \[\frac{x - y}{z - y}
\]
↓
\[\frac{x - y}{z - y}
\]
(FPCore (x y z) :precision binary64 (/ (- x y) (- z y))) ↓
(FPCore (x y z) :precision binary64 (/ (- x y) (- z y))) double code(double x, double y, double z) {
return (x - y) / (z - y);
}
↓
double code(double x, double y, double z) {
return (x - y) / (z - 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) / (z - y)
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) / (z - y)
end function
public static double code(double x, double y, double z) {
return (x - y) / (z - y);
}
↓
public static double code(double x, double y, double z) {
return (x - y) / (z - y);
}
def code(x, y, z):
return (x - y) / (z - y)
↓
def code(x, y, z):
return (x - y) / (z - y)
function code(x, y, z)
return Float64(Float64(x - y) / Float64(z - y))
end
↓
function code(x, y, z)
return Float64(Float64(x - y) / Float64(z - y))
end
function tmp = code(x, y, z)
tmp = (x - y) / (z - y);
end
↓
function tmp = code(x, y, z)
tmp = (x - y) / (z - y);
end
code[x_, y_, z_] := N[(N[(x - y), $MachinePrecision] / N[(z - y), $MachinePrecision]), $MachinePrecision]
↓
code[x_, y_, z_] := N[(N[(x - y), $MachinePrecision] / N[(z - y), $MachinePrecision]), $MachinePrecision]
\frac{x - y}{z - y}
↓
\frac{x - y}{z - y}
Alternatives Alternative 1 Error 19.4 Cost 848
\[\begin{array}{l}
t_0 := 1 - \frac{x}{y}\\
t_1 := \frac{y}{y - z}\\
\mathbf{if}\;y \leq -1.9 \cdot 10^{+154}:\\
\;\;\;\;t_0\\
\mathbf{elif}\;y \leq -2.45 \cdot 10^{+54}:\\
\;\;\;\;t_1\\
\mathbf{elif}\;y \leq -1.18 \cdot 10^{-29}:\\
\;\;\;\;t_0\\
\mathbf{elif}\;y \leq 3.8 \cdot 10^{-41}:\\
\;\;\;\;\frac{x}{z}\\
\mathbf{else}:\\
\;\;\;\;t_1\\
\end{array}
\]
Alternative 2 Error 15.8 Cost 848
\[\begin{array}{l}
t_0 := 1 - \frac{x}{y}\\
t_1 := \frac{y}{y - z}\\
\mathbf{if}\;y \leq -1 \cdot 10^{+149}:\\
\;\;\;\;t_0\\
\mathbf{elif}\;y \leq -9.2 \cdot 10^{+53}:\\
\;\;\;\;t_1\\
\mathbf{elif}\;y \leq -2.1 \cdot 10^{-16}:\\
\;\;\;\;t_0\\
\mathbf{elif}\;y \leq 21000000000:\\
\;\;\;\;\frac{x - y}{z}\\
\mathbf{else}:\\
\;\;\;\;t_1\\
\end{array}
\]
Alternative 3 Error 15.9 Cost 781
\[\begin{array}{l}
\mathbf{if}\;y \leq -2.7 \cdot 10^{+149}:\\
\;\;\;\;1 - \frac{x}{y}\\
\mathbf{elif}\;y \leq -1.7 \cdot 10^{+46} \lor \neg \left(y \leq 185000\right):\\
\;\;\;\;\frac{y}{y - z}\\
\mathbf{else}:\\
\;\;\;\;\frac{-x}{y - z}\\
\end{array}
\]
Alternative 4 Error 25.2 Cost 720
\[\begin{array}{l}
\mathbf{if}\;y \leq -76000000:\\
\;\;\;\;1\\
\mathbf{elif}\;y \leq -3.4 \cdot 10^{-25}:\\
\;\;\;\;-\frac{x}{y}\\
\mathbf{elif}\;y \leq -9.8 \cdot 10^{-29}:\\
\;\;\;\;1\\
\mathbf{elif}\;y \leq 520:\\
\;\;\;\;\frac{x}{z}\\
\mathbf{else}:\\
\;\;\;\;1\\
\end{array}
\]
Alternative 5 Error 25.2 Cost 720
\[\begin{array}{l}
\mathbf{if}\;y \leq -32000000:\\
\;\;\;\;1\\
\mathbf{elif}\;y \leq -2.65 \cdot 10^{-17}:\\
\;\;\;\;-\frac{x}{y}\\
\mathbf{elif}\;y \leq -3.5 \cdot 10^{-28}:\\
\;\;\;\;\frac{-y}{z}\\
\mathbf{elif}\;y \leq 750:\\
\;\;\;\;\frac{x}{z}\\
\mathbf{else}:\\
\;\;\;\;1\\
\end{array}
\]
Alternative 6 Error 19.2 Cost 585
\[\begin{array}{l}
\mathbf{if}\;y \leq -5.8 \cdot 10^{-30} \lor \neg \left(y \leq 1.45 \cdot 10^{-40}\right):\\
\;\;\;\;1 - \frac{x}{y}\\
\mathbf{else}:\\
\;\;\;\;\frac{x}{z}\\
\end{array}
\]
Alternative 7 Error 25.1 Cost 456
\[\begin{array}{l}
\mathbf{if}\;y \leq -16000000000:\\
\;\;\;\;1\\
\mathbf{elif}\;y \leq 66000000000000:\\
\;\;\;\;\frac{x}{z}\\
\mathbf{else}:\\
\;\;\;\;1\\
\end{array}
\]
Alternative 8 Error 41.3 Cost 64
\[1
\]