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Nonlinear iterative methods for linear ill-posed problems in Banach spaces

F Schöpfer, A K Louis and T Schuster

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We introduce and discuss nonlinear iterative methods to recover the minimum-norm solution of the operator equation Ax = y in Banach spaces X, Y, where A is a continuous linear operator from X to Y. The methods are nonlinear due to the use of duality mappings which reflect the geometrical aspects of the underlying spaces. The space X is required to be smooth and uniformly convex, whereas Y can be an arbitrary Banach space. The case of exact as well as approximate and disturbed data and operator are taken into consideration and we prove the strong convergence of the sequence of the iterates.


PACS

02.60.-x Numerical approximation and analysis

02.10.-v Logic, set theory, and algebra

MSC

47A52 Ill-posed problems, regularization

47L10 Algebras of operators on Banach spaces and other topological linear spaces

65F10 Iterative methods for linear systems (See also 65N22)

Subjects

Mathematical physics

Computational physics

Dates

Issue 1 (February 2006)

Received 23 August 2005, in final form 13 December 2005

Published 30 January 2006



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