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arXiv · 1108.3570

Local Analysis of Inverse Problems: H\"{o}lder Stability and Iterative Reconstruction

Abstract

We consider a class of inverse problems defined by a nonlinear map from parameter or model functions to the data. We assume that solutions exist. The space of model functions is a Banach space which is smooth and uniformly convex; however, the data space can be an arbitrary Banach space. We study sequences of parameter functions generated by a nonlinear Landweber iteration and conditions under which these strongly converge, locally, to the solutions within an appropriate distance. We express the conditions for convergence in terms of H\"{o}lder stability of the inverse maps, which ties naturally to the analysis of inverse problems.

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BibTeXRIS

Maarten V. de Hoop, Lingyun Qiu, Otmar Scherzer. 2011-08-17. Local Analysis of Inverse Problems: H\"{o}lder Stability and Iterative Reconstruction. https://doi.org/10.1088/0266-5611%2F28%2F4%2F045001

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