Math FPCore C Fortran Java Python Julia MATLAB Wolfram TeX \[\left(\left(x \cdot \log y - y\right) - z\right) + \log t
\]
↓
\[\left(\left(x \cdot \log y - y\right) - z\right) + \log t
\]
(FPCore (x y z t) :precision binary64 (+ (- (- (* x (log y)) y) z) (log t))) ↓
(FPCore (x y z t) :precision binary64 (+ (- (- (* x (log y)) y) z) (log t))) double code(double x, double y, double z, double t) {
return (((x * log(y)) - y) - z) + log(t);
}
↓
double code(double x, double y, double z, double t) {
return (((x * log(y)) - y) - z) + log(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 * log(y)) - y) - z) + log(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 = (((x * log(y)) - y) - z) + log(t)
end function
public static double code(double x, double y, double z, double t) {
return (((x * Math.log(y)) - y) - z) + Math.log(t);
}
↓
public static double code(double x, double y, double z, double t) {
return (((x * Math.log(y)) - y) - z) + Math.log(t);
}
def code(x, y, z, t):
return (((x * math.log(y)) - y) - z) + math.log(t)
↓
def code(x, y, z, t):
return (((x * math.log(y)) - y) - z) + math.log(t)
function code(x, y, z, t)
return Float64(Float64(Float64(Float64(x * log(y)) - y) - z) + log(t))
end
↓
function code(x, y, z, t)
return Float64(Float64(Float64(Float64(x * log(y)) - y) - z) + log(t))
end
function tmp = code(x, y, z, t)
tmp = (((x * log(y)) - y) - z) + log(t);
end
↓
function tmp = code(x, y, z, t)
tmp = (((x * log(y)) - y) - z) + log(t);
end
code[x_, y_, z_, t_] := N[(N[(N[(N[(x * N[Log[y], $MachinePrecision]), $MachinePrecision] - y), $MachinePrecision] - z), $MachinePrecision] + N[Log[t], $MachinePrecision]), $MachinePrecision]
↓
code[x_, y_, z_, t_] := N[(N[(N[(N[(x * N[Log[y], $MachinePrecision]), $MachinePrecision] - y), $MachinePrecision] - z), $MachinePrecision] + N[Log[t], $MachinePrecision]), $MachinePrecision]
\left(\left(x \cdot \log y - y\right) - z\right) + \log t
↓
\left(\left(x \cdot \log y - y\right) - z\right) + \log t
Alternatives Alternative 1 Error 6.6 Cost 13512
\[\begin{array}{l}
t_1 := \log y \cdot x\\
t_2 := \log t - \left(y + z\right)\\
t_3 := t_1 - z\\
\mathbf{if}\;z \leq -5 \cdot 10^{+27}:\\
\;\;\;\;t_2\\
\mathbf{elif}\;z \leq 4.6 \cdot 10^{+41}:\\
\;\;\;\;\left(t_1 + \log t\right) - y\\
\mathbf{elif}\;z \leq 4.9 \cdot 10^{+67}:\\
\;\;\;\;t_3\\
\mathbf{elif}\;z \leq 8.5 \cdot 10^{+153}:\\
\;\;\;\;t_2\\
\mathbf{else}:\\
\;\;\;\;t_3\\
\end{array}
\]
Alternative 2 Error 33.6 Cost 7780
\[\begin{array}{l}
t_1 := \log y \cdot x\\
\mathbf{if}\;x \leq -1.85 \cdot 10^{+81}:\\
\;\;\;\;t_1\\
\mathbf{elif}\;x \leq -4.5 \cdot 10^{-62}:\\
\;\;\;\;-y\\
\mathbf{elif}\;x \leq -3.2 \cdot 10^{-94}:\\
\;\;\;\;-z\\
\mathbf{elif}\;x \leq -3 \cdot 10^{-267}:\\
\;\;\;\;-y\\
\mathbf{elif}\;x \leq 1.9 \cdot 10^{-289}:\\
\;\;\;\;\log t\\
\mathbf{elif}\;x \leq 10^{-156}:\\
\;\;\;\;-z\\
\mathbf{elif}\;x \leq 6.2 \cdot 10^{-42}:\\
\;\;\;\;-y\\
\mathbf{elif}\;x \leq 1.9 \cdot 10^{+39}:\\
\;\;\;\;-z\\
\mathbf{elif}\;x \leq 7.5 \cdot 10^{+44}:\\
\;\;\;\;-y\\
\mathbf{else}:\\
\;\;\;\;t_1\\
\end{array}
\]
Alternative 3 Error 26.1 Cost 7648
\[\begin{array}{l}
t_1 := \log y \cdot x\\
t_2 := \log t - z\\
t_3 := \log t - y\\
\mathbf{if}\;x \leq -2.9 \cdot 10^{+81}:\\
\;\;\;\;t_1\\
\mathbf{elif}\;x \leq -1.95 \cdot 10^{-62}:\\
\;\;\;\;t_3\\
\mathbf{elif}\;x \leq -3.1 \cdot 10^{-94}:\\
\;\;\;\;-z\\
\mathbf{elif}\;x \leq -8.2 \cdot 10^{-284}:\\
\;\;\;\;t_3\\
\mathbf{elif}\;x \leq 8.5 \cdot 10^{-157}:\\
\;\;\;\;t_2\\
\mathbf{elif}\;x \leq 2.9 \cdot 10^{-43}:\\
\;\;\;\;t_3\\
\mathbf{elif}\;x \leq 4.8 \cdot 10^{+39}:\\
\;\;\;\;t_2\\
\mathbf{elif}\;x \leq 1.18 \cdot 10^{+48}:\\
\;\;\;\;-y\\
\mathbf{else}:\\
\;\;\;\;t_1\\
\end{array}
\]
Alternative 4 Error 26.2 Cost 7384
\[\begin{array}{l}
t_1 := \log y \cdot x\\
t_2 := \log t - y\\
\mathbf{if}\;x \leq -1.82 \cdot 10^{+81}:\\
\;\;\;\;t_1\\
\mathbf{elif}\;x \leq -1.95 \cdot 10^{-62}:\\
\;\;\;\;t_2\\
\mathbf{elif}\;x \leq -2.15 \cdot 10^{-94}:\\
\;\;\;\;-z\\
\mathbf{elif}\;x \leq 1.06 \cdot 10^{-41}:\\
\;\;\;\;t_2\\
\mathbf{elif}\;x \leq 1.15 \cdot 10^{+39}:\\
\;\;\;\;-z\\
\mathbf{elif}\;x \leq 3.5 \cdot 10^{+47}:\\
\;\;\;\;-y\\
\mathbf{else}:\\
\;\;\;\;t_1\\
\end{array}
\]
Alternative 5 Error 10.6 Cost 6984
\[\begin{array}{l}
t_1 := \log y \cdot x\\
\mathbf{if}\;x \leq -2.9 \cdot 10^{+81}:\\
\;\;\;\;t_1\\
\mathbf{elif}\;x \leq 8.5 \cdot 10^{+159}:\\
\;\;\;\;\log t - \left(y + z\right)\\
\mathbf{else}:\\
\;\;\;\;t_1\\
\end{array}
\]
Alternative 6 Error 7.3 Cost 6984
\[\begin{array}{l}
t_1 := \log y \cdot x - y\\
\mathbf{if}\;x \leq -4.4 \cdot 10^{+24}:\\
\;\;\;\;t_1\\
\mathbf{elif}\;x \leq 155:\\
\;\;\;\;\log t - \left(y + z\right)\\
\mathbf{else}:\\
\;\;\;\;t_1\\
\end{array}
\]
Alternative 7 Error 6.7 Cost 6984
\[\begin{array}{l}
t_1 := \log y \cdot x\\
\mathbf{if}\;x \leq -9.8 \cdot 10^{+24}:\\
\;\;\;\;t_1 - y\\
\mathbf{elif}\;x \leq 2.4 \cdot 10^{+47}:\\
\;\;\;\;\log t - \left(y + z\right)\\
\mathbf{else}:\\
\;\;\;\;t_1 - z\\
\end{array}
\]
Alternative 8 Error 35.9 Cost 6860
\[\begin{array}{l}
\mathbf{if}\;z \leq -4.5 \cdot 10^{+159}:\\
\;\;\;\;-z\\
\mathbf{elif}\;z \leq 1.95 \cdot 10^{-264}:\\
\;\;\;\;-y\\
\mathbf{elif}\;z \leq 5.2 \cdot 10^{-17}:\\
\;\;\;\;\log t\\
\mathbf{elif}\;z \leq 4 \cdot 10^{+41}:\\
\;\;\;\;-y\\
\mathbf{elif}\;z \leq 2.6 \cdot 10^{+68}:\\
\;\;\;\;-z\\
\mathbf{elif}\;z \leq 5.2 \cdot 10^{+150}:\\
\;\;\;\;-y\\
\mathbf{else}:\\
\;\;\;\;-z\\
\end{array}
\]
Alternative 9 Error 34.3 Cost 656
\[\begin{array}{l}
\mathbf{if}\;z \leq -4.5 \cdot 10^{+159}:\\
\;\;\;\;-z\\
\mathbf{elif}\;z \leq 4.2 \cdot 10^{+41}:\\
\;\;\;\;-y\\
\mathbf{elif}\;z \leq 4.6 \cdot 10^{+67}:\\
\;\;\;\;-z\\
\mathbf{elif}\;z \leq 5.2 \cdot 10^{+150}:\\
\;\;\;\;-y\\
\mathbf{else}:\\
\;\;\;\;-z\\
\end{array}
\]
Alternative 10 Error 44.7 Cost 128
\[-y
\]