Average Error: 0.3 → 0.3
Time: 5.8s
Precision: 64
\[x \cdot \log x\]
↓
\[x \cdot \log x\]
x \cdot \log x
↓
x \cdot \log x
double f(double x) {
        double r40999 = x;
        double r41000 = log(r40999);
        double r41001 = r40999 * r41000;
        return r41001;
}
↓
double f(double x) {
        double r41002 = x;
        double r41003 = log(r41002);
        double r41004 = r41002 * r41003;
        return r41004;
}

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 2020036 
(FPCore (x)
  :name "Statistics.Distribution.Binomial:directEntropy from math-functions-0.1.5.2"
  :precision binary64
  (* x (log x)))