On the iteratively regularized Gauss-Newton method in Banach spaces with applications to parameter identification problems
Jin, Qinian; Zhong, Min
In this paper we propose an extension of the iteratively regularized Gauss-Newton method to the Banach space setting by defining the iterates via convex optimization problems. We consider some a posteriori stopping rules to terminate the iteration and pre
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