Further convergence results on the general iteratively regularized Gauss-Newton methods under the discrepancy principle
We consider the general iteratively regularized Gauss-Newton methods for solving nonlinear inverse problems F(x) = y using the only available noise yδ satisfying||y δ -y|| ≤ δ with a given small noise level δ > 0. In order to produce reasonable approxi
|Collections||ANU Research Publications|
|Source:||Mathematics of Computation|
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