Average Error: 0.3 → 0.3
Time: 6.3s
Precision: 64
\[x \cdot \log x\]
↓
\[x \cdot \log x\]
x \cdot \log x
↓
x \cdot \log x
double f(double x) {
        double r35940 = x;
        double r35941 = log(r35940);
        double r35942 = r35940 * r35941;
        return r35942;
}
↓
double f(double x) {
        double r35943 = x;
        double r35944 = log(r35943);
        double r35945 = r35943 * r35944;
        return r35945;
}

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

    \[x \cdot \log x\]

  2. Final simplification0.3

    \[\leadsto x \cdot \log x\]

Reproduce

herbie shell --seed 2020034 +o rules:numerics
(FPCore (x)
  :name "Statistics.Distribution.Binomial:directEntropy from math-functions-0.1.5.2"
  :precision binary64
  (* x (log x)))