\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) \cdot 1}}{\sqrt{\log base \cdot \log base + 0.0 \cdot 0.0}}double code(double re, double im, double base) {
return ((double) (((double) (((double) (((double) log(((double) sqrt(((double) (((double) (re * re)) + ((double) (im * im)))))))) * ((double) log(base)))) + ((double) (((double) atan2(im, re)) * 0.0)))) / ((double) (((double) (((double) log(base)) * ((double) log(base)))) + ((double) (0.0 * 0.0))))));
}
double code(double re, double im, double base) {
return ((double) (((double) (((double) fma(((double) log(((double) hypot(re, im)))), ((double) log(base)), ((double) (((double) atan2(im, re)) * 0.0)))) / ((double) (((double) hypot(((double) log(base)), 0.0)) * 1.0)))) / ((double) sqrt(((double) (((double) (((double) log(base)) * ((double) log(base)))) + ((double) (0.0 * 0.0))))))));
}



Bits error versus re



Bits error versus im



Bits error versus base
Results
Initial program 32.0
rmApplied hypot-def0.5
rmApplied add-sqr-sqrt0.5
Applied associate-/r*0.4
Simplified0.4
Final simplification0.4
herbie shell --seed 2020121 +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))))