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A taste of inverse problems : basic theory and examples / Martin Hanke (Johannes Gutenberg-Universität Mainz, Mainz, Germany)

By: Resource type: Ressourcentyp: Buch (Online)Book (Online)Language: English Series: Other titles in applied mathematics ; 153Publisher: Philadelphia : SIAM, Society for Industrial and Applied Mathematics, 2017Description: 1 Online-Ressource (viii, 162 Seiten)ISBN:
  • 9781611974942
Subject(s): Additional physical formats: 9781611974935 | Erscheint auch als: A taste of inverse problems. Druck-Ausgabe Philadelphia : SIAM, Society for Industrial and Applied Mathematics, 2017. viii, 162 SeitenDDC classification:
  • 515/.357#23
MSC: MSC: *65J22 | 65-01 | 47A52 | 65L09 | 65M32 | 00A06 | 65J20 | 65J10 | 65N21 | 65R32LOC classification:
  • QA378.5
DOI: DOI: 10.1137/1.9781611974942Online resources: Summary: Inverse problems need to be solved in order to properly interpret indirect measurements. Often, inverse problems are ill-posed and sensitive to data errors. Therefore one has to incorporate some sort of regularization to reconstruct significant information from the given data. This book presents the main achievements that have emerged in regularization theory over the past 50 years, focusing on linear ill-posed problems and the development of methods that can be applied to them. Some of this material has previously appeared only in journal articles. A Taste of Inverse Problems: Basic Theory and Examples rigorously discusses state-of-the-art inverse problems theory, focusing on numerically relevant aspects and omitting subordinate generalizations;presents diverse real-world applications, important test cases, and possible pitfalls; and treats these applications with the same rigor and depth as the theory.PPN: PPN: 1003858813Package identifier: Produktsigel: ZDB-72-SIA
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