\[wj - \frac{wj \cdot e^{wj} - x}{e^{wj} + wj \cdot e^{wj}}
\]
↓
\[\begin{array}{l}
t_0 := x \cdot -1.5 - x \cdot -4\\
{wj}^{3} \cdot \left(x \cdot -0.6666666666666666 + \left(x \cdot 3 + \left(-1 + -2 \cdot t_0\right)\right)\right) + \left({wj}^{2} \cdot \left(1 + t_0\right) + \left(x + -2 \cdot \left(x \cdot wj\right)\right)\right)
\end{array}
\]
(FPCore (wj x)
:precision binary64
(- wj (/ (- (* wj (exp wj)) x) (+ (exp wj) (* wj (exp wj))))))
↓
(FPCore (wj x)
:precision binary64
(let* ((t_0 (- (* x -1.5) (* x -4.0))))
(+
(*
(pow wj 3.0)
(+ (* x -0.6666666666666666) (+ (* x 3.0) (+ -1.0 (* -2.0 t_0)))))
(+ (* (pow wj 2.0) (+ 1.0 t_0)) (+ x (* -2.0 (* x wj)))))))double code(double wj, double x) {
return wj - (((wj * exp(wj)) - x) / (exp(wj) + (wj * exp(wj))));
}
↓
double code(double wj, double x) {
double t_0 = (x * -1.5) - (x * -4.0);
return (pow(wj, 3.0) * ((x * -0.6666666666666666) + ((x * 3.0) + (-1.0 + (-2.0 * t_0))))) + ((pow(wj, 2.0) * (1.0 + t_0)) + (x + (-2.0 * (x * wj))));
}
real(8) function code(wj, x)
real(8), intent (in) :: wj
real(8), intent (in) :: x
code = wj - (((wj * exp(wj)) - x) / (exp(wj) + (wj * exp(wj))))
end function
↓
real(8) function code(wj, x)
real(8), intent (in) :: wj
real(8), intent (in) :: x
real(8) :: t_0
t_0 = (x * (-1.5d0)) - (x * (-4.0d0))
code = ((wj ** 3.0d0) * ((x * (-0.6666666666666666d0)) + ((x * 3.0d0) + ((-1.0d0) + ((-2.0d0) * t_0))))) + (((wj ** 2.0d0) * (1.0d0 + t_0)) + (x + ((-2.0d0) * (x * wj))))
end function
public static double code(double wj, double x) {
return wj - (((wj * Math.exp(wj)) - x) / (Math.exp(wj) + (wj * Math.exp(wj))));
}
↓
public static double code(double wj, double x) {
double t_0 = (x * -1.5) - (x * -4.0);
return (Math.pow(wj, 3.0) * ((x * -0.6666666666666666) + ((x * 3.0) + (-1.0 + (-2.0 * t_0))))) + ((Math.pow(wj, 2.0) * (1.0 + t_0)) + (x + (-2.0 * (x * wj))));
}
def code(wj, x):
return wj - (((wj * math.exp(wj)) - x) / (math.exp(wj) + (wj * math.exp(wj))))
↓
def code(wj, x):
t_0 = (x * -1.5) - (x * -4.0)
return (math.pow(wj, 3.0) * ((x * -0.6666666666666666) + ((x * 3.0) + (-1.0 + (-2.0 * t_0))))) + ((math.pow(wj, 2.0) * (1.0 + t_0)) + (x + (-2.0 * (x * wj))))
function code(wj, x)
return Float64(wj - Float64(Float64(Float64(wj * exp(wj)) - x) / Float64(exp(wj) + Float64(wj * exp(wj)))))
end
↓
function code(wj, x)
t_0 = Float64(Float64(x * -1.5) - Float64(x * -4.0))
return Float64(Float64((wj ^ 3.0) * Float64(Float64(x * -0.6666666666666666) + Float64(Float64(x * 3.0) + Float64(-1.0 + Float64(-2.0 * t_0))))) + Float64(Float64((wj ^ 2.0) * Float64(1.0 + t_0)) + Float64(x + Float64(-2.0 * Float64(x * wj)))))
end
function tmp = code(wj, x)
tmp = wj - (((wj * exp(wj)) - x) / (exp(wj) + (wj * exp(wj))));
end
↓
function tmp = code(wj, x)
t_0 = (x * -1.5) - (x * -4.0);
tmp = ((wj ^ 3.0) * ((x * -0.6666666666666666) + ((x * 3.0) + (-1.0 + (-2.0 * t_0))))) + (((wj ^ 2.0) * (1.0 + t_0)) + (x + (-2.0 * (x * wj))));
end
code[wj_, x_] := N[(wj - N[(N[(N[(wj * N[Exp[wj], $MachinePrecision]), $MachinePrecision] - x), $MachinePrecision] / N[(N[Exp[wj], $MachinePrecision] + N[(wj * N[Exp[wj], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
↓
code[wj_, x_] := Block[{t$95$0 = N[(N[(x * -1.5), $MachinePrecision] - N[(x * -4.0), $MachinePrecision]), $MachinePrecision]}, N[(N[(N[Power[wj, 3.0], $MachinePrecision] * N[(N[(x * -0.6666666666666666), $MachinePrecision] + N[(N[(x * 3.0), $MachinePrecision] + N[(-1.0 + N[(-2.0 * t$95$0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[(N[Power[wj, 2.0], $MachinePrecision] * N[(1.0 + t$95$0), $MachinePrecision]), $MachinePrecision] + N[(x + N[(-2.0 * N[(x * wj), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]
wj - \frac{wj \cdot e^{wj} - x}{e^{wj} + wj \cdot e^{wj}}
↓
\begin{array}{l}
t_0 := x \cdot -1.5 - x \cdot -4\\
{wj}^{3} \cdot \left(x \cdot -0.6666666666666666 + \left(x \cdot 3 + \left(-1 + -2 \cdot t_0\right)\right)\right) + \left({wj}^{2} \cdot \left(1 + t_0\right) + \left(x + -2 \cdot \left(x \cdot wj\right)\right)\right)
\end{array}