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Four different regularization parameter choice methods were compared.
The parameter choice α will be discussed in Section 5.3.
Especially, the a posteriori regularization parameter choice is selected.
We made some assumptions with respect to the parameter choice.
Moreover, we can also easily find that the posterior parameter choice rule works better than the prior parameter choice rule.
Moreover, we can also easily find that the a posteriori parameter choice rule works better than the a priori parameter choice rule.
Furthermore, it also shows that the a posteriori parameter choice rule method is better than the a priori parameter choice rule method in terms of the convergence speed.
In this section, we give two convergence estimates under an a priori regularization parameter choice rule and an a posteriori regularization parameter choice rule, respectively.
The error estimates are obtained under the a priori regularization parameter choice rule and the a posteriori regularization parameter choice rule.
In this section, we will give two convergence estimates under an a priori regularization parameter choice rule and an a posteriori regularization parameter choice rule, respectively.
The error estimates were obtained under an a priori regularization parameter choice rule and an a posteriori regularization parameter choice rule, respectively.
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