Average Error: 0.3 → 0.3
Time: 13.3s
Precision: 64
\[x \cdot \log x\]
↓
\[x \cdot \log x\]
x \cdot \log x
↓
x \cdot \log x
double f(double x) {
        double r41906 = x;
        double r41907 = log(r41906);
        double r41908 = r41906 * r41907;
        return r41908;
}
↓
double f(double x) {
        double r41909 = x;
        double r41910 = log(r41909);
        double r41911 = r41909 * r41910;
        return r41911;
}

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)))