Regularization of Inverse Problems

Name: Regularization of Inverse Problems
Brand: Springer
SKU: 9780792341574
Price: 62133 HUF
Availability: InStock

Szerző: Heinz W. Engl, Martin Hanke

Nyelv:

Kötés: Kemény kötésű

Kiadó: Springer

Elérhetőség: Beszállítói készleten

Küldés 10-18 napon belül

62 133 Ft

Driven by the needs of applications both in sciences and in industry, the field of inverse problems...

Információk a könyvről

Szerző

Heinz W. Engl, Martin Hanke

Nyelv

Angol

Kötés

Könyv - Kemény kötésű

Kiadva

1996

oldal

322

EAN

9780792341574

ISBN

0792341570

Enbook ID

01395156

Kiadó

Springer

Súly

632

Méretek

165 x 243 x 25

Teljes leírás

Driven by the needs of applications both in sciences and in industry, the field of inverse problems has certainly been one of the fastest growing areas in applied mathematics recently. This book starts with an overview over some classes of inverse problems of practical interest. Inverse problems typically lead to mathematical models that are ill-posed in the sense of Hadamard. Especially, their solution is unstable under data perturbations, so that special numerical methods that can cope with these instabilities, so-called regularization methods, have to be developed. This book is devoted to the mathematical theory of regularization methods and is intended to give an up-to-date account of the currently available results about regularization methods both for linear and for nonlinear ill-posed problems. Both continuous and iterative regularization methods are considered in detail with special emphasis on the development of parameter choice and stopping rules which lead to optimal convergence rates. Audience: This book, which can be read by students with a basic knowledge of functional analysis, should be useful both to mathematicians and to scientists and engineers who deal with inverse problems in their fields. It can be used as a text for a graduate course on inverse problems and will also be useful to specialists in the field as a reference work.

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Regularization of Inverse Problems

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