Description

Book Synopsis
Nonlinear inverse problems appear in many applications, and typically they lead to mathematical models that are ill-posed, i.e., they are unstable under data perturbations. Those problems require a regularization, i.e., a special numerical treatment. This book presents regularization schemes which are based on iteration methods, e.g., nonlinear Landweber iteration, level set methods, multilevel methods and Newton type methods.

Trade Review
"This well written monograph may become a standard reference on regularization theory for nonlinear inverse problems."Thorsten Hohage in: Mathematical Reviews 2010c

Iterative Regularization Methods for Nonlinear Ill-Posed Problems

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    A Hardback by Barbara Kaltenbacher, Andreas Neubauer, Otmar Scherzer

    15 in stock

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      Publisher: De Gruyter
      Publication Date: Publication Date: 20/05/2008
      ISBN13: 9783110204209, 978-3110204209
      ISBN10: 3110204207
      Also in:
      Calculus and mathematical analysis

      Description

      Book Synopsis
      Nonlinear inverse problems appear in many applications, and typically they lead to mathematical models that are ill-posed, i.e., they are unstable under data perturbations. Those problems require a regularization, i.e., a special numerical treatment. This book presents regularization schemes which are based on iteration methods, e.g., nonlinear Landweber iteration, level set methods, multilevel methods and Newton type methods.

      Trade Review
      "This well written monograph may become a standard reference on regularization theory for nonlinear inverse problems."Thorsten Hohage in: Mathematical Reviews 2010c

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