Math FPCore C Fortran Java Python Julia MATLAB Wolfram TeX \[\left(x + y\right) \cdot \left(z + 1\right)
\]
↓
\[\left(\left(x + y\right) + y \cdot z\right) + x \cdot z
\]
(FPCore (x y z) :precision binary64 (* (+ x y) (+ z 1.0))) ↓
(FPCore (x y z) :precision binary64 (+ (+ (+ x y) (* y z)) (* x z))) double code(double x, double y, double z) {
return (x + y) * (z + 1.0);
}
↓
double code(double x, double y, double z) {
return ((x + y) + (y * z)) + (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 + 1.0d0)
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) + (y * z)) + (x * z)
end function
public static double code(double x, double y, double z) {
return (x + y) * (z + 1.0);
}
↓
public static double code(double x, double y, double z) {
return ((x + y) + (y * z)) + (x * z);
}
def code(x, y, z):
return (x + y) * (z + 1.0)
↓
def code(x, y, z):
return ((x + y) + (y * z)) + (x * z)
function code(x, y, z)
return Float64(Float64(x + y) * Float64(z + 1.0))
end
↓
function code(x, y, z)
return Float64(Float64(Float64(x + y) + Float64(y * z)) + Float64(x * z))
end
function tmp = code(x, y, z)
tmp = (x + y) * (z + 1.0);
end
↓
function tmp = code(x, y, z)
tmp = ((x + y) + (y * z)) + (x * z);
end
code[x_, y_, z_] := N[(N[(x + y), $MachinePrecision] * N[(z + 1.0), $MachinePrecision]), $MachinePrecision]
↓
code[x_, y_, z_] := N[(N[(N[(x + y), $MachinePrecision] + N[(y * z), $MachinePrecision]), $MachinePrecision] + N[(x * z), $MachinePrecision]), $MachinePrecision]
\left(x + y\right) \cdot \left(z + 1\right)
↓
\left(\left(x + y\right) + y \cdot z\right) + x \cdot z
Alternatives Alternative 1 Error 32.6 Cost 984
\[\begin{array}{l}
\mathbf{if}\;z \leq -1:\\
\;\;\;\;x \cdot z\\
\mathbf{elif}\;z \leq 1.36 \cdot 10^{-297}:\\
\;\;\;\;y\\
\mathbf{elif}\;z \leq 8.5 \cdot 10^{-233}:\\
\;\;\;\;x\\
\mathbf{elif}\;z \leq 2.25 \cdot 10^{-221}:\\
\;\;\;\;y\\
\mathbf{elif}\;z \leq 1.75 \cdot 10^{-102}:\\
\;\;\;\;x\\
\mathbf{elif}\;z \leq 0.078:\\
\;\;\;\;y\\
\mathbf{else}:\\
\;\;\;\;x \cdot z\\
\end{array}
\]
Alternative 2 Error 32.8 Cost 984
\[\begin{array}{l}
\mathbf{if}\;z \leq -0.000226:\\
\;\;\;\;y \cdot z\\
\mathbf{elif}\;z \leq 2.9 \cdot 10^{-293}:\\
\;\;\;\;y\\
\mathbf{elif}\;z \leq 1.5 \cdot 10^{-233}:\\
\;\;\;\;x\\
\mathbf{elif}\;z \leq 3.5 \cdot 10^{-221}:\\
\;\;\;\;y\\
\mathbf{elif}\;z \leq 2.35 \cdot 10^{-104}:\\
\;\;\;\;x\\
\mathbf{elif}\;z \leq 0.095:\\
\;\;\;\;y\\
\mathbf{else}:\\
\;\;\;\;x \cdot z\\
\end{array}
\]
Alternative 3 Error 12.5 Cost 716
\[\begin{array}{l}
t_0 := y \cdot \left(z + 1\right)\\
\mathbf{if}\;z \leq -0.00032:\\
\;\;\;\;t_0\\
\mathbf{elif}\;z \leq 1.06 \cdot 10^{-7}:\\
\;\;\;\;x + y\\
\mathbf{elif}\;z \leq 3.1 \cdot 10^{+134}:\\
\;\;\;\;t_0\\
\mathbf{else}:\\
\;\;\;\;x \cdot z\\
\end{array}
\]
Alternative 4 Error 24.5 Cost 716
\[\begin{array}{l}
t_0 := x \cdot \left(z + 1\right)\\
\mathbf{if}\;x \leq -1.7 \cdot 10^{+30}:\\
\;\;\;\;t_0\\
\mathbf{elif}\;x \leq -8.5 \cdot 10^{-91}:\\
\;\;\;\;x + y\\
\mathbf{elif}\;x \leq -1.7 \cdot 10^{-132}:\\
\;\;\;\;t_0\\
\mathbf{else}:\\
\;\;\;\;y \cdot \left(z + 1\right)\\
\end{array}
\]
Alternative 5 Error 13.0 Cost 588
\[\begin{array}{l}
\mathbf{if}\;z \leq -1:\\
\;\;\;\;y \cdot z\\
\mathbf{elif}\;z \leq 190000:\\
\;\;\;\;x + y\\
\mathbf{elif}\;z \leq 3.9 \cdot 10^{+135}:\\
\;\;\;\;y \cdot z\\
\mathbf{else}:\\
\;\;\;\;x \cdot z\\
\end{array}
\]
Alternative 6 Error 1.8 Cost 585
\[\begin{array}{l}
\mathbf{if}\;z \leq -1 \lor \neg \left(z \leq 1\right):\\
\;\;\;\;z \cdot \left(x + y\right)\\
\mathbf{else}:\\
\;\;\;\;x + y\\
\end{array}
\]
Alternative 7 Error 38.1 Cost 460
\[\begin{array}{l}
\mathbf{if}\;x \leq -118000:\\
\;\;\;\;x\\
\mathbf{elif}\;x \leq -2.2 \cdot 10^{-42}:\\
\;\;\;\;y\\
\mathbf{elif}\;x \leq -1.46 \cdot 10^{-67}:\\
\;\;\;\;x\\
\mathbf{else}:\\
\;\;\;\;y\\
\end{array}
\]
Alternative 8 Error 0.0 Cost 448
\[\left(x + y\right) \cdot \left(z + 1\right)
\]
Alternative 9 Error 43.3 Cost 64
\[x
\]