Methods for solving operator equations
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Bibliographic Information
Methods for solving operator equations
(Inverse and ill-posed problems series)
VSP, 1997
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Note
Includes bibliographical references (p. 209-223)
Description and Table of Contents
Description
01/07 This title is now available from Walter de Gruyter. Please see www.degruyter.com for more information.
Table of Contents
- Part 1 Regularization of linear operator equations: classification of ill-posed problems and the concept of the optimal method
- the estimate from below for Dopt
- the error of the regularization method
- the algorithmic peculiarities of the generalized residual principle
- the error of the quasi-solutions method
- the regularization method with the parameter a chosen by the residual
- the projection regularization method
- on the choice of the optimal regularization parameter
- optimal methods for solving unstable problems with additional information on the operator A
- on the regularization of operator equations of the first kind with the approximately given operator and on the choice of the regularization parameter
- the generalized reesidual principle
- the optimum of the generalized residual principle. Part 2 Finite-dimensional methods of constructing regularized solutions: the notion of t-uniform convergence of linear operators
- the general scheme of finite-dimensional approximation in the regularization method
- application of the general scheme to the projection and finite difference methods
- the general scheme of finite-dimensional approximation in the generalized residual method
- the iterative method for determining the finite-dimensional approximation in the generalized residual principle
- the general scheme of finite-dimensional approximations in the quasi-solution method
- the necessary and sufficient conditions for the convergence of finite-imenaional approximations in the regularized method
- on the discretization of the variational problems (1.11.5)
- finite-dimensional approximation of regularized solutions
- application. Part 3 Regulariztion of non-linear operator equations: approximate solution of non-linear operator equations with a disturbed operator by the regularization method
- approximate solution of implicit operator equations of the first kind by the regularization method
- optimal by the order method for solving non-linear unstable problems.
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