\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 base, \log \left(\mathsf{hypot}\left(re, im\right)\right), \tan^{-1}_* \frac{im}{re} \cdot 0.0\right)}{\mathsf{hypot}\left(\log base, 0.0\right) \cdot 1} \cdot \frac{1}{\mathsf{hypot}\left(\log base, 0.0\right)}double f(double re, double im, double base) {
double r49687 = re;
double r49688 = r49687 * r49687;
double r49689 = im;
double r49690 = r49689 * r49689;
double r49691 = r49688 + r49690;
double r49692 = sqrt(r49691);
double r49693 = log(r49692);
double r49694 = base;
double r49695 = log(r49694);
double r49696 = r49693 * r49695;
double r49697 = atan2(r49689, r49687);
double r49698 = 0.0;
double r49699 = r49697 * r49698;
double r49700 = r49696 + r49699;
double r49701 = r49695 * r49695;
double r49702 = r49698 * r49698;
double r49703 = r49701 + r49702;
double r49704 = r49700 / r49703;
return r49704;
}
double f(double re, double im, double base) {
double r49705 = base;
double r49706 = log(r49705);
double r49707 = re;
double r49708 = im;
double r49709 = hypot(r49707, r49708);
double r49710 = log(r49709);
double r49711 = atan2(r49708, r49707);
double r49712 = 0.0;
double r49713 = r49711 * r49712;
double r49714 = fma(r49706, r49710, r49713);
double r49715 = hypot(r49706, r49712);
double r49716 = 1.0;
double r49717 = r49715 * r49716;
double r49718 = r49714 / r49717;
double r49719 = r49716 / r49715;
double r49720 = r49718 * r49719;
return r49720;
}



Bits error versus re



Bits error versus im



Bits error versus base
Initial program 31.7
rmApplied add-exp-log31.7
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 2019362 +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))))