\frac{\tan^{-1}_* \frac{im}{re} \cdot \log base - \log \left(\sqrt{re \cdot re + im \cdot im}\right) \cdot 0.0}{\log base \cdot \log base + 0.0 \cdot 0.0}-1 \cdot \frac{1}{\frac{\log \left(\frac{1}{base}\right)}{\tan^{-1}_* \frac{im}{re}}}double f(double re, double im, double base) {
double r36857 = im;
double r36858 = re;
double r36859 = atan2(r36857, r36858);
double r36860 = base;
double r36861 = log(r36860);
double r36862 = r36859 * r36861;
double r36863 = r36858 * r36858;
double r36864 = r36857 * r36857;
double r36865 = r36863 + r36864;
double r36866 = sqrt(r36865);
double r36867 = log(r36866);
double r36868 = 0.0;
double r36869 = r36867 * r36868;
double r36870 = r36862 - r36869;
double r36871 = r36861 * r36861;
double r36872 = r36868 * r36868;
double r36873 = r36871 + r36872;
double r36874 = r36870 / r36873;
return r36874;
}
double f(double re, double im, double base) {
double r36875 = -1.0;
double r36876 = 1.0;
double r36877 = base;
double r36878 = r36876 / r36877;
double r36879 = log(r36878);
double r36880 = im;
double r36881 = re;
double r36882 = atan2(r36880, r36881);
double r36883 = r36879 / r36882;
double r36884 = r36876 / r36883;
double r36885 = r36875 * r36884;
return r36885;
}



Bits error versus re



Bits error versus im



Bits error versus base
Results
Initial program 31.4
Taylor expanded around inf 0.3
rmApplied clear-num0.5
Final simplification0.5
herbie shell --seed 2020035
(FPCore (re im base)
:name "math.log/2 on complex, imaginary part"
:precision binary64
(/ (- (* (atan2 im re) (log base)) (* (log (sqrt (+ (* re re) (* im im)))) 0.0)) (+ (* (log base) (log base)) (* 0.0 0.0))))