\frac{\log \left(\sqrt{re \cdot re + im \cdot im}\right) \cdot \log base + \tan^{-1}_* \frac{im}{re} \cdot 0.0}{\log base \cdot \log base + 0.0 \cdot 0.0}\frac{\mathsf{fma}\left(\log \left(\mathsf{hypot}\left(re, im\right)\right), \log base, \tan^{-1}_* \frac{im}{re} \cdot 0.0\right)}{\mathsf{hypot}\left(\log base, 0.0\right)} \cdot \frac{1}{\mathsf{hypot}\left(\log base, 0.0\right)}double f(double re, double im, double base) {
double r47671 = re;
double r47672 = r47671 * r47671;
double r47673 = im;
double r47674 = r47673 * r47673;
double r47675 = r47672 + r47674;
double r47676 = sqrt(r47675);
double r47677 = log(r47676);
double r47678 = base;
double r47679 = log(r47678);
double r47680 = r47677 * r47679;
double r47681 = atan2(r47673, r47671);
double r47682 = 0.0;
double r47683 = r47681 * r47682;
double r47684 = r47680 + r47683;
double r47685 = r47679 * r47679;
double r47686 = r47682 * r47682;
double r47687 = r47685 + r47686;
double r47688 = r47684 / r47687;
return r47688;
}
double f(double re, double im, double base) {
double r47689 = re;
double r47690 = im;
double r47691 = hypot(r47689, r47690);
double r47692 = log(r47691);
double r47693 = base;
double r47694 = log(r47693);
double r47695 = atan2(r47690, r47689);
double r47696 = 0.0;
double r47697 = r47695 * r47696;
double r47698 = fma(r47692, r47694, r47697);
double r47699 = hypot(r47694, r47696);
double r47700 = r47698 / r47699;
double r47701 = 1.0;
double r47702 = r47701 / r47699;
double r47703 = r47700 * r47702;
return r47703;
}



Bits error versus re



Bits error versus im



Bits error versus base
Initial program 31.6
Simplified0.5
rmApplied add-sqr-sqrt0.5
Applied associate-/r*0.4
Simplified0.4
rmApplied div-inv0.5
Simplified0.5
Final simplification0.5
herbie shell --seed 2019325 +o rules:numerics
(FPCore (re im base)
:name "math.log/2 on complex, real part"
:precision binary64
(/ (+ (* (log (sqrt (+ (* re re) (* im im)))) (log base)) (* (atan2 im re) 0.0)) (+ (* (log base) (log base)) (* 0.0 0.0))))