Average Error: 0.0 → 0.0
Time: 1.4s
Precision: 64
\[re \cdot im + im \cdot re\]
↓
\[re \cdot \left(im + im\right)\]
re \cdot im + im \cdot re
↓
re \cdot \left(im + im\right)
double f(double re, double im) {
        double r8251 = re;
        double r8252 = im;
        double r8253 = r8251 * r8252;
        double r8254 = r8252 * r8251;
        double r8255 = r8253 + r8254;
        return r8255;
}
↓
double f(double re, double im) {
        double r8256 = re;
        double r8257 = im;
        double r8258 = r8257 + r8257;
        double r8259 = r8256 * r8258;
        return r8259;
}

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

    \[re \cdot im + im \cdot re\]

  2. Simplified0.0

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

  3. Final simplification0.0

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

Reproduce

herbie shell --seed 2019172 +o rules:numerics
(FPCore (re im)
  :name "math.square on complex, imaginary part"
  (+ (* re im) (* im re)))