Average Error: 0.0 → 0.0
Time: 14.6s
Precision: 64
\[re \cdot re - im \cdot im\]
↓
\[\left(re + im\right) \cdot \left(re - im\right)\]
re \cdot re - im \cdot im
↓
\left(re + im\right) \cdot \left(re - im\right)
double f(double re, double im) {
        double r304383 = re;
        double r304384 = r304383 * r304383;
        double r304385 = im;
        double r304386 = r304385 * r304385;
        double r304387 = r304384 - r304386;
        return r304387;
}
↓
double f(double re, double im) {
        double r304388 = re;
        double r304389 = im;
        double r304390 = r304388 + r304389;
        double r304391 = r304388 - r304389;
        double r304392 = r304390 * r304391;
        return r304392;
}

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 0.0

    \[re \cdot re - im \cdot im\]

  2. Taylor expanded around inf 0.0

    \[\leadsto \color{blue}{{re}^{2} - {im}^{2}}\]

  3. Simplified0.0

    \[\leadsto \color{blue}{\left(im + re\right) \cdot \left(re - im\right)}\]

  4. Final simplification0.0

    \[\leadsto \left(re + im\right) \cdot \left(re - im\right)\]

Reproduce

herbie shell --seed 2019142 +o rules:numerics
(FPCore (re im)
  :name "math.square on complex, real part"
  (- (* re re) (* im im)))