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Books > Science & Mathematics > Mathematics > Mathematical foundations > Mathematical logic

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Surveys on Solution Methods for Inverse Problems (Paperback, Softcover reprint of the original 1st ed. 2000) Loot Price: R1,486
Discovery Miles 14 860
Surveys on Solution Methods for Inverse Problems (Paperback, Softcover reprint of the original 1st ed. 2000): David Colton,...

Surveys on Solution Methods for Inverse Problems (Paperback, Softcover reprint of the original 1st ed. 2000)

David Colton, Heinz W. Engl, Alfred K Louis, Joyce McLaughlin, William Rundell

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Loot Price R1,486 Discovery Miles 14 860 | Repayment Terms: R139 pm x 12*

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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.

General

Imprint: Springer-Verlag
Country of origin: Austria
Release date: 2001
First published: 2000
Editors: David Colton • Heinz W. Engl • Alfred K Louis • Joyce McLaughlin • William Rundell
Dimensions: 234 x 156 x 15mm (L x W x T)
Format: Paperback
Pages: 275
Edition: Softcover reprint of the original 1st ed. 2000
ISBN-13: 978-3-211-83470-1
Categories: Books > Science & Mathematics > Mathematics > Mathematical foundations > Mathematical logic
LSN: 3-211-83470-2
Barcode: 9783211834701

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