Average Error: 0.3 → 0.3
Time: 6.9s
Precision: 64
\[x \cdot \log x\]
↓
\[x \cdot \log x\]
x \cdot \log x
↓
x \cdot \log x
double f(double x) {
        double r39282 = x;
        double r39283 = log(r39282);
        double r39284 = r39282 * r39283;
        return r39284;
}
↓
double f(double x) {
        double r39285 = x;
        double r39286 = log(r39285);
        double r39287 = r39285 * r39286;
        return r39287;
}

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 1978988140 
(FPCore (x)
  :name "Statistics.Distribution.Binomial:directEntropy from math-functions-0.1.5.2"
  :precision binary64
  (* x (log x)))