Average Error: 0.3 → 0.3
Time: 6.2s
Precision: 64
\[x \cdot \log x\]
↓
\[x \cdot \log x\]
x \cdot \log x
↓
x \cdot \log x
double f(double x) {
        double r50765 = x;
        double r50766 = log(r50765);
        double r50767 = r50765 * r50766;
        return r50767;
}
↓
double f(double x) {
        double r50768 = x;
        double r50769 = log(r50768);
        double r50770 = r50768 * r50769;
        return r50770;
}

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 2019356 
(FPCore (x)
  :name "Statistics.Distribution.Binomial:directEntropy from math-functions-0.1.5.2"
  :precision binary64
  (* x (log x)))