Math FPCore C Fortran Java Python Julia MATLAB Wolfram TeX \[\left(x \cdot y + z\right) \cdot y + t
\]
↓
\[\left(y \cdot \left(x \cdot y\right) + y \cdot z\right) + t
\]
(FPCore (x y z t) :precision binary64 (+ (* (+ (* x y) z) y) t)) ↓
(FPCore (x y z t) :precision binary64 (+ (+ (* y (* x y)) (* y z)) t)) double code(double x, double y, double z, double t) {
return (((x * y) + z) * y) + t;
}
↓
double code(double x, double y, double z, double t) {
return ((y * (x * y)) + (y * z)) + t;
}
real(8) function code(x, y, z, t)
real(8), intent (in) :: x
real(8), intent (in) :: y
real(8), intent (in) :: z
real(8), intent (in) :: t
code = (((x * y) + z) * y) + t
end function
↓
real(8) function code(x, y, z, t)
real(8), intent (in) :: x
real(8), intent (in) :: y
real(8), intent (in) :: z
real(8), intent (in) :: t
code = ((y * (x * y)) + (y * z)) + t
end function
public static double code(double x, double y, double z, double t) {
return (((x * y) + z) * y) + t;
}
↓
public static double code(double x, double y, double z, double t) {
return ((y * (x * y)) + (y * z)) + t;
}
def code(x, y, z, t):
return (((x * y) + z) * y) + t
↓
def code(x, y, z, t):
return ((y * (x * y)) + (y * z)) + t
function code(x, y, z, t)
return Float64(Float64(Float64(Float64(x * y) + z) * y) + t)
end
↓
function code(x, y, z, t)
return Float64(Float64(Float64(y * Float64(x * y)) + Float64(y * z)) + t)
end
function tmp = code(x, y, z, t)
tmp = (((x * y) + z) * y) + t;
end
↓
function tmp = code(x, y, z, t)
tmp = ((y * (x * y)) + (y * z)) + t;
end
code[x_, y_, z_, t_] := N[(N[(N[(N[(x * y), $MachinePrecision] + z), $MachinePrecision] * y), $MachinePrecision] + t), $MachinePrecision]
↓
code[x_, y_, z_, t_] := N[(N[(N[(y * N[(x * y), $MachinePrecision]), $MachinePrecision] + N[(y * z), $MachinePrecision]), $MachinePrecision] + t), $MachinePrecision]
\left(x \cdot y + z\right) \cdot y + t
↓
\left(y \cdot \left(x \cdot y\right) + y \cdot z\right) + t
Alternatives Alternative 1 Error 12.5 Cost 1108
\[\begin{array}{l}
t_1 := y \cdot \left(x \cdot y + z\right)\\
t_2 := t + y \cdot z\\
\mathbf{if}\;t \leq -4.959385800530276 \cdot 10^{+44}:\\
\;\;\;\;t_2\\
\mathbf{elif}\;t \leq -1.6069934447118557 \cdot 10^{-65}:\\
\;\;\;\;t + x \cdot \left(y \cdot y\right)\\
\mathbf{elif}\;t \leq -8.35570235170745 \cdot 10^{-90}:\\
\;\;\;\;t_1\\
\mathbf{elif}\;t \leq -2.8044151725848973 \cdot 10^{-232}:\\
\;\;\;\;t_2\\
\mathbf{elif}\;t \leq 2.3358121268724357 \cdot 10^{-113}:\\
\;\;\;\;t_1\\
\mathbf{else}:\\
\;\;\;\;t_2\\
\end{array}
\]
Alternative 2 Error 25.2 Cost 720
\[\begin{array}{l}
\mathbf{if}\;t \leq -2.6142807226805107 \cdot 10^{-75}:\\
\;\;\;\;t\\
\mathbf{elif}\;t \leq 1.6546399022149054 \cdot 10^{-117}:\\
\;\;\;\;y \cdot z\\
\mathbf{elif}\;t \leq 1.980149922310444 \cdot 10^{-51}:\\
\;\;\;\;t\\
\mathbf{elif}\;t \leq 1.0177127986932875 \cdot 10^{-37}:\\
\;\;\;\;y \cdot z\\
\mathbf{else}:\\
\;\;\;\;t\\
\end{array}
\]
Alternative 3 Error 7.9 Cost 712
\[\begin{array}{l}
t_1 := t + y \cdot z\\
\mathbf{if}\;z \leq -262.3362583228705:\\
\;\;\;\;t_1\\
\mathbf{elif}\;z \leq 8.736178620154878 \cdot 10^{-55}:\\
\;\;\;\;t + x \cdot \left(y \cdot y\right)\\
\mathbf{else}:\\
\;\;\;\;t_1\\
\end{array}
\]
Alternative 4 Error 5.2 Cost 712
\[\begin{array}{l}
t_1 := t + y \cdot z\\
\mathbf{if}\;z \leq -262.3362583228705:\\
\;\;\;\;t_1\\
\mathbf{elif}\;z \leq 3.3635984051604335 \cdot 10^{+62}:\\
\;\;\;\;y \cdot \left(x \cdot y\right) + t\\
\mathbf{else}:\\
\;\;\;\;t_1\\
\end{array}
\]
Alternative 5 Error 13.5 Cost 584
\[\begin{array}{l}
t_1 := t + y \cdot z\\
\mathbf{if}\;y \leq -1.75 \cdot 10^{+68}:\\
\;\;\;\;t_1\\
\mathbf{elif}\;y \leq -6.5 \cdot 10^{+27}:\\
\;\;\;\;x \cdot \left(y \cdot y\right)\\
\mathbf{else}:\\
\;\;\;\;t_1\\
\end{array}
\]
Alternative 6 Error 0.1 Cost 576
\[t + y \cdot \left(x \cdot y + z\right)
\]
Alternative 7 Error 30.1 Cost 64
\[t
\]