Average Error: 31.6 → 0.0
Time: 3.2s
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 r26872 = re;
        double r26873 = r26872 * r26872;
        double r26874 = im;
        double r26875 = r26874 * r26874;
        double r26876 = r26873 + r26875;
        double r26877 = sqrt(r26876);
        return r26877;
}

double f(double re, double im) {
        double r26878 = re;
        double r26879 = im;
        double r26880 = hypot(r26878, r26879);
        return r26880;
}

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 31.6

    \[\sqrt{re \cdot re + im \cdot im}\]
  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 2019323 +o rules:numerics
(FPCore (re im)
  :name "math.abs on complex"
  :precision binary64
  (sqrt (+ (* re re) (* im im))))