Figure 10.

Optimal mutation rate estimation via Algorithm 3.2 with learning rate ${\alpha }^1=1/\left(1.5K_1\right)$, where the used nucleotide sample size is n=3000 with the lower boundary parameter $\delta =0.01$ and the upper boundary parameter $\xi =0.9$. The pre-given mutation rate is $\theta =0.1$ and the iteration number of the algorithm is M=3000.