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Autor(en): 
  • Anatoly B. Bakushinsky
  • Mikhail M. Kokurin
  • Mikhail Yu. Kokurin
  • Regularization Algorithms for Ill-Posed Problems 
     

    (Buch)
    Dieser Artikel gilt, aufgrund seiner Grösse, beim Versand als 3 Artikel!


    Übersicht

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    Lieferstatus:   i.d.R. innert 7-14 Tagen versandfertig
    Veröffentlichung:  Februar 2018  
    Genre:  Schulbücher 
    ISBN:  9783110556308 
    EAN-Code: 
    9783110556308 
    Verlag:  De Gruyter 
    Einband:  Gebunden  
    Sprache:  English  
    Dimensionen:  H 246 mm / B 175 mm / D 24 mm 
    Gewicht:  760 gr 
    Seiten:  342 
    Bewertung: Titel bewerten / Meinung schreiben
    Inhalt:
    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. Contents Introduction Regularization Methods For Linear Equations Finite Difference Methods Iterative Regularization Methods Finite-Dimensional Iterative Processes Variational Inequalities and Optimization Problems

      



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