Math FPCore C Fortran Java Python Julia MATLAB Wolfram TeX \[\left(\left(\left(\left(x \cdot \log y + z\right) + t\right) + a\right) + \left(b - 0.5\right) \cdot \log c\right) + y \cdot i
\]
↓
\[\left(\left(\left(\left(x \cdot \log y + z\right) + t\right) + a\right) + \left(b - 0.5\right) \cdot \log c\right) + y \cdot i
\]
(FPCore (x y z t a b c i)
:precision binary64
(+ (+ (+ (+ (+ (* x (log y)) z) t) a) (* (- b 0.5) (log c))) (* y i))) ↓
(FPCore (x y z t a b c i)
:precision binary64
(+ (+ (+ (+ (+ (* x (log y)) z) t) a) (* (- b 0.5) (log c))) (* y i))) double code(double x, double y, double z, double t, double a, double b, double c, double i) {
return (((((x * log(y)) + z) + t) + a) + ((b - 0.5) * log(c))) + (y * i);
}
↓
double code(double x, double y, double z, double t, double a, double b, double c, double i) {
return (((((x * log(y)) + z) + t) + a) + ((b - 0.5) * log(c))) + (y * i);
}
real(8) function code(x, y, z, t, a, b, c, i)
real(8), intent (in) :: x
real(8), intent (in) :: y
real(8), intent (in) :: z
real(8), intent (in) :: t
real(8), intent (in) :: a
real(8), intent (in) :: b
real(8), intent (in) :: c
real(8), intent (in) :: i
code = (((((x * log(y)) + z) + t) + a) + ((b - 0.5d0) * log(c))) + (y * i)
end function
↓
real(8) function code(x, y, z, t, a, b, c, i)
real(8), intent (in) :: x
real(8), intent (in) :: y
real(8), intent (in) :: z
real(8), intent (in) :: t
real(8), intent (in) :: a
real(8), intent (in) :: b
real(8), intent (in) :: c
real(8), intent (in) :: i
code = (((((x * log(y)) + z) + t) + a) + ((b - 0.5d0) * log(c))) + (y * i)
end function
public static double code(double x, double y, double z, double t, double a, double b, double c, double i) {
return (((((x * Math.log(y)) + z) + t) + a) + ((b - 0.5) * Math.log(c))) + (y * i);
}
↓
public static double code(double x, double y, double z, double t, double a, double b, double c, double i) {
return (((((x * Math.log(y)) + z) + t) + a) + ((b - 0.5) * Math.log(c))) + (y * i);
}
def code(x, y, z, t, a, b, c, i):
return (((((x * math.log(y)) + z) + t) + a) + ((b - 0.5) * math.log(c))) + (y * i)
↓
def code(x, y, z, t, a, b, c, i):
return (((((x * math.log(y)) + z) + t) + a) + ((b - 0.5) * math.log(c))) + (y * i)
function code(x, y, z, t, a, b, c, i)
return Float64(Float64(Float64(Float64(Float64(Float64(x * log(y)) + z) + t) + a) + Float64(Float64(b - 0.5) * log(c))) + Float64(y * i))
end
↓
function code(x, y, z, t, a, b, c, i)
return Float64(Float64(Float64(Float64(Float64(Float64(x * log(y)) + z) + t) + a) + Float64(Float64(b - 0.5) * log(c))) + Float64(y * i))
end
function tmp = code(x, y, z, t, a, b, c, i)
tmp = (((((x * log(y)) + z) + t) + a) + ((b - 0.5) * log(c))) + (y * i);
end
↓
function tmp = code(x, y, z, t, a, b, c, i)
tmp = (((((x * log(y)) + z) + t) + a) + ((b - 0.5) * log(c))) + (y * i);
end
code[x_, y_, z_, t_, a_, b_, c_, i_] := N[(N[(N[(N[(N[(N[(x * N[Log[y], $MachinePrecision]), $MachinePrecision] + z), $MachinePrecision] + t), $MachinePrecision] + a), $MachinePrecision] + N[(N[(b - 0.5), $MachinePrecision] * N[Log[c], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(y * i), $MachinePrecision]), $MachinePrecision]
↓
code[x_, y_, z_, t_, a_, b_, c_, i_] := N[(N[(N[(N[(N[(N[(x * N[Log[y], $MachinePrecision]), $MachinePrecision] + z), $MachinePrecision] + t), $MachinePrecision] + a), $MachinePrecision] + N[(N[(b - 0.5), $MachinePrecision] * N[Log[c], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(y * i), $MachinePrecision]), $MachinePrecision]
\left(\left(\left(\left(x \cdot \log y + z\right) + t\right) + a\right) + \left(b - 0.5\right) \cdot \log c\right) + y \cdot i
↓
\left(\left(\left(\left(x \cdot \log y + z\right) + t\right) + a\right) + \left(b - 0.5\right) \cdot \log c\right) + y \cdot i
Alternatives Alternative 1 Error 3.6 Cost 14152
\[\begin{array}{l}
t_1 := \left(\left(\left(\left(x \cdot \log y + z\right) + t\right) + a\right) + -0.5 \cdot \log c\right) + y \cdot i\\
\mathbf{if}\;x \leq -2.4 \cdot 10^{+98}:\\
\;\;\;\;t_1\\
\mathbf{elif}\;x \leq 2.3 \cdot 10^{+68}:\\
\;\;\;\;\left(\left(b - 0.5\right) \cdot \log c + \left(a + \left(t + z\right)\right)\right) + y \cdot i\\
\mathbf{else}:\\
\;\;\;\;t_1\\
\end{array}
\]
Alternative 2 Error 4.9 Cost 13896
\[\begin{array}{l}
t_1 := \left(-0.5 \cdot \log c + \left(a + z\right)\right) + \left(t + \log y \cdot x\right)\\
\mathbf{if}\;x \leq -2.9 \cdot 10^{+100}:\\
\;\;\;\;t_1\\
\mathbf{elif}\;x \leq 1.1 \cdot 10^{+94}:\\
\;\;\;\;\left(\left(b - 0.5\right) \cdot \log c + \left(a + \left(t + z\right)\right)\right) + y \cdot i\\
\mathbf{else}:\\
\;\;\;\;t_1\\
\end{array}
\]
Alternative 3 Error 7.3 Cost 7624
\[\begin{array}{l}
t_1 := \log y \cdot x\\
\mathbf{if}\;x \leq -3.5 \cdot 10^{+190}:\\
\;\;\;\;t_1\\
\mathbf{elif}\;x \leq 1.45 \cdot 10^{+205}:\\
\;\;\;\;\left(\left(b - 0.5\right) \cdot \log c + \left(a + \left(t + z\right)\right)\right) + y \cdot i\\
\mathbf{else}:\\
\;\;\;\;t_1\\
\end{array}
\]
Alternative 4 Error 17.7 Cost 7496
\[\begin{array}{l}
t_1 := \log y \cdot x\\
\mathbf{if}\;x \leq -9 \cdot 10^{+191}:\\
\;\;\;\;t_1\\
\mathbf{elif}\;x \leq 4.6 \cdot 10^{+204}:\\
\;\;\;\;\left(\log c \cdot \left(b - 0.5\right) + \left(z + a\right)\right) + y \cdot i\\
\mathbf{else}:\\
\;\;\;\;t_1\\
\end{array}
\]
Alternative 5 Error 14.3 Cost 7368
\[\begin{array}{l}
t_1 := \log y \cdot x\\
\mathbf{if}\;x \leq -1.08 \cdot 10^{+192}:\\
\;\;\;\;t_1\\
\mathbf{elif}\;x \leq 1.1 \cdot 10^{+205}:\\
\;\;\;\;\left(b - 0.5\right) \cdot \log c + \left(a + \left(t + z\right)\right)\\
\mathbf{else}:\\
\;\;\;\;t_1\\
\end{array}
\]
Alternative 6 Error 18.6 Cost 7368
\[\begin{array}{l}
t_1 := \log y \cdot x\\
\mathbf{if}\;x \leq -3.6 \cdot 10^{+192}:\\
\;\;\;\;t_1\\
\mathbf{elif}\;x \leq 4 \cdot 10^{+205}:\\
\;\;\;\;\left(\log c \cdot b + \left(z + a\right)\right) + y \cdot i\\
\mathbf{else}:\\
\;\;\;\;t_1\\
\end{array}
\]
Alternative 7 Error 15.3 Cost 7240
\[\begin{array}{l}
t_1 := \log y \cdot x\\
\mathbf{if}\;x \leq -2.15 \cdot 10^{+191}:\\
\;\;\;\;t_1\\
\mathbf{elif}\;x \leq 1.22 \cdot 10^{+207}:\\
\;\;\;\;\log c \cdot b + \left(a + \left(t + z\right)\right)\\
\mathbf{else}:\\
\;\;\;\;t_1\\
\end{array}
\]
Alternative 8 Error 24.5 Cost 7240
\[\begin{array}{l}
t_1 := \log y \cdot x\\
\mathbf{if}\;x \leq -2.15 \cdot 10^{+191}:\\
\;\;\;\;t_1\\
\mathbf{elif}\;x \leq 4.5 \cdot 10^{+206}:\\
\;\;\;\;\left(b - 0.5\right) \cdot \log c + \left(a + z\right)\\
\mathbf{else}:\\
\;\;\;\;t_1\\
\end{array}
\]
Alternative 9 Error 25.4 Cost 7112
\[\begin{array}{l}
t_1 := \log y \cdot x\\
\mathbf{if}\;x \leq -2.9 \cdot 10^{+192}:\\
\;\;\;\;t_1\\
\mathbf{elif}\;x \leq 2.15 \cdot 10^{+205}:\\
\;\;\;\;\log c \cdot b + \left(a + z\right)\\
\mathbf{else}:\\
\;\;\;\;t_1\\
\end{array}
\]
Alternative 10 Error 29.0 Cost 6856
\[\begin{array}{l}
t_1 := \log c \cdot b\\
\mathbf{if}\;b \leq -2.7 \cdot 10^{+188}:\\
\;\;\;\;t_1\\
\mathbf{elif}\;b \leq 8 \cdot 10^{+226}:\\
\;\;\;\;\left(a + z\right) + y \cdot i\\
\mathbf{else}:\\
\;\;\;\;t_1\\
\end{array}
\]
Alternative 11 Error 29.0 Cost 6856
\[\begin{array}{l}
t_1 := \log y \cdot x\\
\mathbf{if}\;x \leq -1.45 \cdot 10^{+192}:\\
\;\;\;\;t_1\\
\mathbf{elif}\;x \leq 4.5 \cdot 10^{+204}:\\
\;\;\;\;\left(a + z\right) + y \cdot i\\
\mathbf{else}:\\
\;\;\;\;t_1\\
\end{array}
\]
Alternative 12 Error 42.1 Cost 716
\[\begin{array}{l}
t_1 := a + y \cdot i\\
\mathbf{if}\;z \leq -7.4 \cdot 10^{+143}:\\
\;\;\;\;z\\
\mathbf{elif}\;z \leq -1 \cdot 10^{+85}:\\
\;\;\;\;t_1\\
\mathbf{elif}\;z \leq -1.85 \cdot 10^{+55}:\\
\;\;\;\;z\\
\mathbf{else}:\\
\;\;\;\;t_1\\
\end{array}
\]
Alternative 13 Error 41.2 Cost 452
\[\begin{array}{l}
\mathbf{if}\;a \leq 1.45 \cdot 10^{+104}:\\
\;\;\;\;z + y \cdot i\\
\mathbf{else}:\\
\;\;\;\;a + y \cdot i\\
\end{array}
\]
Alternative 14 Error 34.2 Cost 448
\[\left(a + z\right) + y \cdot i
\]
Alternative 15 Error 48.2 Cost 196
\[\begin{array}{l}
\mathbf{if}\;a \leq 1.05 \cdot 10^{+104}:\\
\;\;\;\;z\\
\mathbf{else}:\\
\;\;\;\;a\\
\end{array}
\]
Alternative 16 Error 52.2 Cost 64
\[a
\]