Custom cover image
Custom cover image

Regularization Algorithms for Ill-Posed Problems / Anatoly B. Bakushinsky, Mikhail M. Kokurin, Mikhail Yu. Kokurin

By: Contributor(s): Resource type: Ressourcentyp: Buch (Online)Book (Online)Language: English Series: Inverse and ill-posed problems series ; Volume 61Publisher: Berlin ; Boston : De Gruyter, [2018]Copyright date: ©2018Description: 1 Online-RessourceISBN:
  • 9783110557350
  • 9783110556384
Subject(s): Additional physical formats: 9783110556308 | Erscheint auch als: Regularization algorithms for ill-posed problems. Druck-Ausgabe Berlin : De Gruyter, 2018. XVI, 323 Seiten | Erscheint auch als: 978-3-11-055630-8 Druck-Ausgabe | Erscheint auch als: 978-3-11-055638-4 Druck-AusgabeDDC classification:
  • 510
  • 515/.353 23
RVK: RVK: SK 920Local classification: Lokale Notation: math 7.40LOC classification:
  • QA377
DOI: DOI: 10.1515/9783110557350Online resources:
Contents:
Summary: This specialized and authoritative book contains an overview of modern approaches to constructing approximations to solutions of ill-posed operator equations, both linear and nonlinear. These approximation schemes form a basis for implementable numerical algorithms for the stable solution of operator equations arising in contemporary mathematical modeling, and in particular when solving inverse problems of mathematical physics. The book presents in detail stable solution methods for ill-posed problems using the methodology of iterative regularization of classical iterative schemes and the techniques of finite dimensional and finite difference approximations of the problems under study. Special attention is paid to ill-posed Cauchy problems for linear operator differential equations and to ill-posed variational inequalities and optimization problems. The readers are expected to have basic knowledge in functional analysis and differential equations. The book will be of interest to applied mathematicians and specialists in mathematical modeling and inverse problems, and also to advanced students in these fields. ContentsIntroductionRegularization Methods For Linear EquationsFinite Difference MethodsIterative Regularization MethodsFinite-Dimensional Iterative ProcessesVariational Inequalities and Optimization ProblemsPPN: PPN: 1015636055Package identifier: Produktsigel: ZDB-23-DGG | EBA-CL-MTPY | EBA-DGALL | EBA-EBKALL | EBA-ECL-MTPY | EBA-EEBKALL | EBA-ESTMALL | EBA-STMALL | GBV-deGruyter-alles | ZDB-23-DMA | ZDB-23-DGG | EBA-BACKALL | EBA-EBACKALL
No physical items for this record

Restricted Access; Controlled Vocabulary for Access Rights: online access with authorization coarar

http://purl.org/coar/access_right/c_16ec.

Mode of access: Internet via World Wide Web.

In English

KIT – The University in the Helmholtz Association                         Home | Legals | Privacy policy | KIT