Surveys on Solution Methods for Inverse Problems

David Colton

ISBN 10: 3211834702 / ISBN 13: 9783211834701

Published by Springer Vienna, Springer Vienna Mai 2000, 2000

About this Item

This item is printed on demand - Print on Demand Titel. Neuware -Inverse problems are concerned with determining causes for observed or desired effects. Problems of this type appear in many application fields both in science and in engineering. The mathematical modelling of inverse problems usually leads to ill-posed problems, i.e., problems where solutions need not exist, need not be unique or may depend discontinuously on the data. For this reason, numerical methods for solving inverse problems are especially difficult, special methods have to be developed which are known under the term 'regularization methods'. This volume contains twelve survey papers about solution methods for inverse and ill-posed problems and about their application to specific types of inverse problems, e.g., in scattering theory, in tomography and medical applications, in geophysics and in image processing. The papers have been written by leading experts in the field and provide an up-to-date account of solution methods for inverse problems.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 288 pp. Englisch.

Seller Inventory # 9783211834701

Bibliographic Details

• Title: Surveys on Solution Methods for Inverse Problems
• Publisher: Springer Vienna, Springer Vienna Mai 2000
• Publication Date: 2000
• Language: English
• ISBN 10: 3211834702
• ISBN 13: 9783211834701
• Binding: Taschenbuch
• Condition: Neu
• Dimensions: 244W x 170H x 16D millimeters 244 millimeters width by 170 millimeters height by 16 millimeters depth
• Weight: 502 grams

About this title

Synopsis

Inverse problems are concerned with determining causes for observed or desired effects. Problems of this type appear in many application fields both in science and in engineering. The mathematical modelling of inverse problems usually leads to ill-posed problems, i.e., problems where solutions need not exist, need not be unique or may depend discontinuously on the data. For this reason, numerical methods for solving inverse problems are especially difficult, special methods have to be developed which are known under the term "regularization methods". This volume contains twelve survey papers about solution methods for inverse and ill-posed problems and about their application to specific types of inverse problems, e.g., in scattering theory, in tomography and medical applications, in geophysics and in image processing. The papers have been written by leading experts in the field and provide an up-to-date account of solution methods for inverse problems.