Average Error: 0.0 → 0.0
Time: 7.2s
Precision: 64
\[\frac{x}{x + y}\]
\[\mathsf{expm1}\left(\mathsf{log1p}\left(\frac{x}{y + x}\right)\right)\]
\frac{x}{x + y}
\mathsf{expm1}\left(\mathsf{log1p}\left(\frac{x}{y + x}\right)\right)
double f(double x, double y) {
        double r13784820 = x;
        double r13784821 = y;
        double r13784822 = r13784820 + r13784821;
        double r13784823 = r13784820 / r13784822;
        return r13784823;
}

double f(double x, double y) {
        double r13784824 = x;
        double r13784825 = y;
        double r13784826 = r13784825 + r13784824;
        double r13784827 = r13784824 / r13784826;
        double r13784828 = log1p(r13784827);
        double r13784829 = expm1(r13784828);
        return r13784829;
}

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

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

Reproduce

herbie shell --seed 2019163 +o rules:numerics
(FPCore (x y)
  :name "AI.Clustering.Hierarchical.Internal:average from clustering-0.2.1, A"
  (/ x (+ x y)))