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On convergence rates for asymptotic discrepancy principle

  • Anatoly Bakushinsky und Alexandra Smirnova EMAIL logo
Veröffentlicht/Copyright: 22. März 2016

Abstract

A series of recent numerical experiments for parameter estimation inverse problems in epidemiology [7, 6] have indicated that applicability of the discrepancy principle (DP) does not depend on the structure of a particular regularizing operator. This observation confirmed the original theoretical analysis by Bakushinsky [1, 2] on the construction of fairly general stabilizing algorithms in Banach and Hilbert spaces. In [7, 6], a unified approach to the implementation of the DP for linear ill-posed problems, the Abstract Discrepancy Principle, has been proposed and justified. The current paper investigates the convergence rates of the ADP. Special cases of sectorial and self-adjoint operators are studied.

MSC 2010: 47A52; 65F22

Award Identifier / Grant number: DMS-1112897

Funding statement: This work is supported by NSF under grant (DMS-1112897).

References

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Received: 2015-2-18
Revised: 2016-3-4
Accepted: 2016-3-7
Published Online: 2016-3-22
Published in Print: 2016-8-1

© 2016 by De Gruyter

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