Average Error: 0.3 → 0.3
Time: 12.7s
Precision: 64
\[x \cdot \log x\]
↓
\[x \cdot \log x\]
x \cdot \log x
↓
x \cdot \log x
double f(double x) {
        double r37807 = x;
        double r37808 = log(r37807);
        double r37809 = r37807 * r37808;
        return r37809;
}
↓
double f(double x) {
        double r37810 = x;
        double r37811 = log(r37810);
        double r37812 = r37810 * r37811;
        return r37812;
}

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 2019303 
(FPCore (x)
  :name "Statistics.Distribution.Binomial:directEntropy from math-functions-0.1.5.2"
  :precision binary64
  (* x (log x)))