math.square on complex, imaginary part

Average Error: 0.2 → 0.1

Time: 3.5s

Precision: 64

Math

\[\frac{\left(re \cdot im\right)}{\left(im \cdot re\right)}\]

↓

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

C

double f(double re, double im) {
        double r8729 = re;
        double r8730 = im;
        double r8731 = r8729 * r8730;
        double r8732 = r8730 * r8729;
        double r8733 = r8731 + r8732;
        return r8733;
}

↓

double f(double re, double im) {
        double r8734 = re;
        double r8735 = im;
        double r8736 = r8735 + r8735;
        double r8737 = r8734 * r8736;
        return r8737;
}

Error

Bits error versus re

Bits error versus im

Derivation

1. Initial program 0.2

   \[\frac{\left(re \cdot im\right)}{\left(im \cdot re\right)}\]

2. Simplified 0.2

   \[\leadsto \color{blue}{\frac{\left(im \cdot re\right)}{\left(im \cdot re\right)}}\]
3. Using strategy rm

4. Applied distribute-rgt-out 0.1

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

5. Final simplification 0.1

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

Reproduce

herbie shell --seed 2019125 
(FPCore (re im)
  :name "math.square on complex, imaginary part"
  (+.p16 (*.p16 re im) (*.p16 im re)))