Mathematics – Numerical Analysis
Scientific paper
2008-03-16
Mathematics
Numerical Analysis
Scientific paper
10.1088/0266-5611/24/4/045002
In this paper we consider the iteratively regularized Gauss-Newton method for
solving nonlinear ill-posed inverse problems. Under merely Lipschitz condition,
we prove that this method together with an a posteriori stopping rule defines
an order optimal regularization method if the solution is regular in some
suitable sense.
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