Iterative Methods for Approximate Solution of Inverse Problems (Hardcover, 2004 ed.)

This volume presents a unified approach to constructing iterative methods for solving irregular operator equations and provides rigorous theoretical analysis for several classes of these methods. The analysis of methods includes convergence theorems as well as necessary and sufficient conditions for their convergence at a given rate. The principal groups of methods studied in the book are iterative processes based on the technique of universal linear approximations, stable gradient-type processes, and methods of stable continuous approximations. Compared to existing monographs and textbooks on ill-posed problems, the main distinguishing feature of the presented approach is that it doesna (TM)t require any structural conditions on equations under consideration, except for standard smoothness conditions. This allows to obtain in a uniform style stable iterative methods applicable to wide classes of nonlinear inverse problems. Practical efficiency of suggested algorithms is illustrated in application to inverse problems of potential theory and acoustic scattering.

The volume can be read by anyone with a basic knowledge of functional analysis.

The book will be of interest to applied mathematicians and specialists in mathematical modeling and inverse problems.

General

Imprint:	Springer-Verlag New York
Country of origin:	United States
Series:	Mathematics and Its Applications, 577
Release date:	February 2005
First published:	2004
Authors:	A. B Bakushinsky • M. Yu Kokurin
Dimensions:	297 x 210 x 19mm (L x W x T)
Format:	Hardcover
Pages:	291
Edition:	2004 ed.
ISBN-13:	978-1-4020-3121-2
Categories:	Books > Science & Mathematics > Mathematics > General Promotions
LSN:	1-4020-3121-1
Barcode:	9781402031212

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