Magnetic source parameter estimation by MEG data is a basic question on MEG research.Optimization methods are available to the estimation.Gradient

Gauss-Newton and simulated annealing algorithms are used separately.Computer simulation demonstrates that these algorithms are all available under certain conditions.In comparison

gradient

Gauss-Newton algorithms are of fast computation speed while simulated annealing costs more time.On the other hand

simulated annealing almost has no special need for the selection of initial iterative values while gradient and Gauss-Newton algorithms have such need to some extent.Furthermore

on estimation of multiple source parameters

gradient

Gauss-Newton algorithms sometimes fail due to incorrect selection of initial iterative values

while simulated annealing algorithm is still effective.