Average Error: 0.3 → 0.3
Time: 4.9s
Precision: 64
\[x \cdot \log x\]
↓
\[x \cdot \log x\]
x \cdot \log x
↓
x \cdot \log x
double f(double x) {
        double r39525 = x;
        double r39526 = log(r39525);
        double r39527 = r39525 * r39526;
        return r39527;
}
↓
double f(double x) {
        double r39528 = x;
        double r39529 = log(r39528);
        double r39530 = r39528 * r39529;
        return r39530;
}

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 2020081 
(FPCore (x)
  :name "Statistics.Distribution.Binomial:directEntropy from math-functions-0.1.5.2"
  :precision binary64
  (* x (log x)))