Average Error: 0.3 → 0.0
Time: 2.2s
Precision: 64
\[\log x - \log \left(\log x\right)\]
\[\log \left(\frac{x}{\log x}\right)\]
\log x - \log \left(\log x\right)
\log \left(\frac{x}{\log x}\right)
double f(double x) {
        double r99907 = x;
        double r99908 = log(r99907);
        double r99909 = log(r99908);
        double r99910 = r99908 - r99909;
        return r99910;
}

double f(double x) {
        double r99911 = x;
        double r99912 = log(r99911);
        double r99913 = r99911 / r99912;
        double r99914 = log(r99913);
        return r99914;
}

Error

Bits error versus x

Try it out

Your Program's Arguments

Results

Enter valid numbers for all inputs

Derivation

  1. Initial program 0.3

    \[\log x - \log \left(\log x\right)\]
  2. Using strategy rm
  3. Applied diff-log0.0

    \[\leadsto \color{blue}{\log \left(\frac{x}{\log x}\right)}\]
  4. Final simplification0.0

    \[\leadsto \log \left(\frac{x}{\log x}\right)\]

Reproduce

herbie shell --seed 2020062 
(FPCore (x)
  :name "Jmat.Real.lambertw, estimator"
  :precision binary64
  (- (log x) (log (log x))))