Average Error: 31.9 → 0.0
Time: 1.1s
Precision: 64
\[\sqrt{re \cdot re + im \cdot im}\]
\[\mathsf{hypot}\left(re, im\right)\]
\sqrt{re \cdot re + im \cdot im}
\mathsf{hypot}\left(re, im\right)
double f(double re, double im) {
        double r47810 = re;
        double r47811 = r47810 * r47810;
        double r47812 = im;
        double r47813 = r47812 * r47812;
        double r47814 = r47811 + r47813;
        double r47815 = sqrt(r47814);
        return r47815;
}

double f(double re, double im) {
        double r47816 = re;
        double r47817 = im;
        double r47818 = hypot(r47816, r47817);
        return r47818;
}

Error

Bits error versus re

Bits error versus im

Try it out

Your Program's Arguments

Results

Enter valid numbers for all inputs

Derivation

  1. Initial program 31.9

    \[\sqrt{re \cdot re + im \cdot im}\]
  2. Simplified0.0

    \[\leadsto \color{blue}{\mathsf{hypot}\left(re, im\right)}\]
  3. Final simplification0.0

    \[\leadsto \mathsf{hypot}\left(re, im\right)\]

Reproduce

herbie shell --seed 2020049 +o rules:numerics
(FPCore (re im)
  :name "math.abs on complex"
  :precision binary64
  (sqrt (+ (* re re) (* im im))))