\[\frac{1}{2} \cdot \log \left(\frac{1 + x}{1 - x}\right)
\]
(FPCore (x) :precision binary64 (* (/ 1.0 2.0) (log (/ (+ 1.0 x) (- 1.0 x)))))
double code(double x) {
return (1.0 / 2.0) * log(((1.0 + x) / (1.0 - x)));
}
real(8) function code(x)
real(8), intent (in) :: x
code = (1.0d0 / 2.0d0) * log(((1.0d0 + x) / (1.0d0 - x)))
end function
public static double code(double x) {
return (1.0 / 2.0) * Math.log(((1.0 + x) / (1.0 - x)));
}
def code(x):
return (1.0 / 2.0) * math.log(((1.0 + x) / (1.0 - x)))
function code(x)
return Float64(Float64(1.0 / 2.0) * log(Float64(Float64(1.0 + x) / Float64(1.0 - x))))
end
function tmp = code(x)
tmp = (1.0 / 2.0) * log(((1.0 + x) / (1.0 - x)));
end
code[x_] := N[(N[(1.0 / 2.0), $MachinePrecision] * N[Log[N[(N[(1.0 + x), $MachinePrecision] / N[(1.0 - x), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]
\frac{1}{2} \cdot \log \left(\frac{1 + x}{1 - x}\right)