Average Error: 0.0 → 0.0
Time: 8.1s
Precision: 64
\[\frac{x}{y + x}\]
\[\mathsf{log1p}\left(\mathsf{expm1}\left(\frac{x}{y + x}\right)\right)\]
\frac{x}{y + x}
\mathsf{log1p}\left(\mathsf{expm1}\left(\frac{x}{y + x}\right)\right)
double f(double x, double y) {
        double r11513578 = x;
        double r11513579 = y;
        double r11513580 = r11513579 + r11513578;
        double r11513581 = r11513578 / r11513580;
        return r11513581;
}

double f(double x, double y) {
        double r11513582 = x;
        double r11513583 = y;
        double r11513584 = r11513583 + r11513582;
        double r11513585 = r11513582 / r11513584;
        double r11513586 = expm1(r11513585);
        double r11513587 = log1p(r11513586);
        return r11513587;
}

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

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

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

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

Reproduce

herbie shell --seed 2019168 +o rules:numerics
(FPCore (x y)
  :name "AI.Clustering.Hierarchical.Internal:average from clustering-0.2.1, B"
  (/ x (+ y x)))