\frac{\tan^{-1}_* \frac{im}{re}}{\log 10}\left(\sqrt[3]{\sqrt{\frac{1}{\sqrt{\log 10}}}} \cdot \sqrt[3]{\sqrt{\frac{1}{\sqrt{\log 10}}}}\right) \cdot \left(\sqrt[3]{\sqrt{\frac{1}{\sqrt{\log 10}}}} \cdot \left(\sqrt{\frac{1}{\sqrt{\log 10}}} \cdot \left(\tan^{-1}_* \frac{im}{re} \cdot \sqrt{\frac{1}{\log 10}}\right)\right)\right)double f(double re, double im) {
double r87737 = im;
double r87738 = re;
double r87739 = atan2(r87737, r87738);
double r87740 = 10.0;
double r87741 = log(r87740);
double r87742 = r87739 / r87741;
return r87742;
}
double f(double re, double im) {
double r87743 = 1.0;
double r87744 = 10.0;
double r87745 = log(r87744);
double r87746 = sqrt(r87745);
double r87747 = r87743 / r87746;
double r87748 = sqrt(r87747);
double r87749 = cbrt(r87748);
double r87750 = r87749 * r87749;
double r87751 = im;
double r87752 = re;
double r87753 = atan2(r87751, r87752);
double r87754 = r87743 / r87745;
double r87755 = sqrt(r87754);
double r87756 = r87753 * r87755;
double r87757 = r87748 * r87756;
double r87758 = r87749 * r87757;
double r87759 = r87750 * r87758;
return r87759;
}



Bits error versus re



Bits error versus im
Results
Initial program 0.8
rmApplied add-sqr-sqrt0.8
Applied *-un-lft-identity0.8
Applied times-frac0.8
Taylor expanded around 0 0.8
rmApplied add-sqr-sqrt0.8
Applied associate-*l*0.8
rmApplied add-cube-cbrt0.1
Applied associate-*l*0.2
Final simplification0.2
herbie shell --seed 2020001
(FPCore (re im)
:name "math.log10 on complex, imaginary part"
:precision binary64
(/ (atan2 im re) (log 10)))