\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{\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)}}{\mathsf{hypot}\left(\log base, 0.0\right)}double f(double re, double im, double base) {
double r42787 = re;
double r42788 = r42787 * r42787;
double r42789 = im;
double r42790 = r42789 * r42789;
double r42791 = r42788 + r42790;
double r42792 = sqrt(r42791);
double r42793 = log(r42792);
double r42794 = base;
double r42795 = log(r42794);
double r42796 = r42793 * r42795;
double r42797 = atan2(r42789, r42787);
double r42798 = 0.0;
double r42799 = r42797 * r42798;
double r42800 = r42796 + r42799;
double r42801 = r42795 * r42795;
double r42802 = r42798 * r42798;
double r42803 = r42801 + r42802;
double r42804 = r42800 / r42803;
return r42804;
}
double f(double re, double im, double base) {
double r42805 = re;
double r42806 = im;
double r42807 = hypot(r42805, r42806);
double r42808 = log(r42807);
double r42809 = base;
double r42810 = log(r42809);
double r42811 = atan2(r42806, r42805);
double r42812 = 0.0;
double r42813 = r42811 * r42812;
double r42814 = fma(r42808, r42810, r42813);
double r42815 = hypot(r42810, r42812);
double r42816 = r42814 / r42815;
double r42817 = r42816 / r42815;
return r42817;
}



Bits error versus re



Bits error versus im



Bits error versus base
Initial program 31.1
Simplified0.5
rmApplied add-sqr-sqrt0.5
Applied *-un-lft-identity0.5
Applied times-frac0.5
Simplified0.5
Simplified0.5
rmApplied *-un-lft-identity0.5
Applied associate-*l*0.5
Simplified0.4
Final simplification0.4
herbie shell --seed 2019209 +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))))