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 27.4 Cost 1112
\[\begin{array}{l}
t_1 := y \cdot \left(x \cdot y\right)\\
\mathbf{if}\;y \leq -6.6 \cdot 10^{+68}:\\
\;\;\;\;t_1\\
\mathbf{elif}\;y \leq -2.85 \cdot 10^{-11}:\\
\;\;\;\;y \cdot z\\
\mathbf{elif}\;y \leq -1.15 \cdot 10^{-58}:\\
\;\;\;\;t\\
\mathbf{elif}\;y \leq -2.15 \cdot 10^{-85}:\\
\;\;\;\;y \cdot z\\
\mathbf{elif}\;y \leq 1.85 \cdot 10^{-13}:\\
\;\;\;\;t\\
\mathbf{elif}\;y \leq 8 \cdot 10^{+102}:\\
\;\;\;\;y \cdot z\\
\mathbf{else}:\\
\;\;\;\;t_1\\
\end{array}
\]
Alternative 2 Error 10.6 Cost 976
\[\begin{array}{l}
t_1 := t + y \cdot z\\
t_2 := y \cdot \left(z + x \cdot y\right)\\
\mathbf{if}\;y \leq -1.42 \cdot 10^{+69}:\\
\;\;\;\;t_2\\
\mathbf{elif}\;y \leq 8 \cdot 10^{-106}:\\
\;\;\;\;t_1\\
\mathbf{elif}\;y \leq 4.2 \cdot 10^{-12}:\\
\;\;\;\;t + x \cdot \left(y \cdot y\right)\\
\mathbf{elif}\;y \leq 86000000000:\\
\;\;\;\;t_1\\
\mathbf{else}:\\
\;\;\;\;t_2\\
\end{array}
\]
Alternative 3 Error 10.1 Cost 713
\[\begin{array}{l}
\mathbf{if}\;y \leq -7 \cdot 10^{+68} \lor \neg \left(y \leq 52000000000\right):\\
\;\;\;\;y \cdot \left(z + x \cdot y\right)\\
\mathbf{else}:\\
\;\;\;\;t + y \cdot z\\
\end{array}
\]
Alternative 4 Error 6.1 Cost 713
\[\begin{array}{l}
\mathbf{if}\;z \leq -4.6 \cdot 10^{+129} \lor \neg \left(z \leq 2850\right):\\
\;\;\;\;t + y \cdot z\\
\mathbf{else}:\\
\;\;\;\;t + y \cdot \left(x \cdot y\right)\\
\end{array}
\]
Alternative 5 Error 12.8 Cost 585
\[\begin{array}{l}
\mathbf{if}\;y \leq -1.1 \cdot 10^{+155} \lor \neg \left(y \leq 1.65 \cdot 10^{+131}\right):\\
\;\;\;\;y \cdot \left(x \cdot y\right)\\
\mathbf{else}:\\
\;\;\;\;t + y \cdot z\\
\end{array}
\]
Alternative 6 Error 0.1 Cost 576
\[t + y \cdot \left(z + x \cdot y\right)
\]
Alternative 7 Error 25.7 Cost 456
\[\begin{array}{l}
\mathbf{if}\;z \leq -1.3 \cdot 10^{+128}:\\
\;\;\;\;y \cdot z\\
\mathbf{elif}\;z \leq 4.1 \cdot 10^{+79}:\\
\;\;\;\;t\\
\mathbf{else}:\\
\;\;\;\;y \cdot z\\
\end{array}
\]
Alternative 8 Error 30.1 Cost 64
\[t
\]