Average Error: 0.0 → 0.0
Time: 17.3s
Precision: 64
\[\frac{x}{x + y}\]
\[\mathsf{expm1}\left(\mathsf{log1p}\left(\frac{x}{x + y}\right)\right)\]
\frac{x}{x + y}
\mathsf{expm1}\left(\mathsf{log1p}\left(\frac{x}{x + y}\right)\right)
double f(double x, double y) {
        double r140950 = x;
        double r140951 = y;
        double r140952 = r140950 + r140951;
        double r140953 = r140950 / r140952;
        return r140953;
}

double f(double x, double y) {
        double r140954 = x;
        double r140955 = y;
        double r140956 = r140954 + r140955;
        double r140957 = r140954 / r140956;
        double r140958 = log1p(r140957);
        double r140959 = expm1(r140958);
        return r140959;
}

Error

Bits error versus x

Bits error versus y

Try it out

Your Program's Arguments

Results

Enter valid numbers for all inputs

Derivation

  1. Initial program 0.0

    \[\frac{x}{x + y}\]
  2. Using strategy rm
  3. Applied expm1-log1p-u0.0

    \[\leadsto \color{blue}{\mathsf{expm1}\left(\mathsf{log1p}\left(\frac{x}{x + y}\right)\right)}\]
  4. Final simplification0.0

    \[\leadsto \mathsf{expm1}\left(\mathsf{log1p}\left(\frac{x}{x + y}\right)\right)\]

Reproduce

herbie shell --seed 2019306 +o rules:numerics
(FPCore (x y)
  :name "AI.Clustering.Hierarchical.Internal:average from clustering-0.2.1, A"
  :precision binary64
  (/ x (+ x y)))