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



Bits error versus x
Results
Initial program 0.3
Applied egg-rr0.0
Applied egg-rr0.0
Applied egg-rr0.0
Final simplification0.0
herbie shell --seed 2022153
(FPCore (x)
:name "Jmat.Real.lambertw, estimator"
:precision binary64
(- (log x) (log (log x))))