Numerical Methods for the Solution of Ill-Posed Problems

A.N. Tikhonov|A. Goncharsky|V.V. Stepanov|Anatoly G. Yagola

ISBN 10: 079233583X / ISBN 13: 9780792335832

Edité par Springer Netherlands, 1995

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Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Many problems in science, technology and engineering are posed in the form of operator equations of the first kind, with the operator and RHS approximately known. But such problems often turn out to be ill-posed, having no solution, or a non-unique solut. N° de réf. du vendeur 5967500

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Titre : Numerical Methods for the Solution of ...

Éditeur : Springer Netherlands

Date d'édition : 1995

Reliure : Gebunden

Etat : New

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Synopsis :

Numerical Methods for the Solution of Ill-Posed Problems Considers linear ill-posed problems with or without a priori constraints. This book contains a FORTRAN program library. It is suitable for postgraduate students of physics, mathematics, chemistry, economics, engineering. It is also suitable for engineers and scientists interested in data processing and the theory of ill-posed problems.

Présentation de l'éditeur:

Many problems in science, technology and engineering are posed in the form of operator equations of the first kind, with the operator and Rhs approximately known. But such problems often turn out to be ill-posed, having no solution, or a non-unique solution, and/or an unstable solution. Non-existence and non-uniqueness can usually be overcome by settling for `generalised' solutions, leading to the need to develop regularising algorithms.
The theory of ill-posed problems has advanced greatly since A. N. Tikhonov laid its foundations, the Russian original of this book (1990) rapidly becoming a classical monograph on the topic. The present edition has been completely updated to consider linear ill-posed problems with or without a priori constraints (non-negativity, monotonicity, convexity, etc.).
Besides the theoretical material, the book also contains a Fortran program library.
Audience: Postgraduate students of physics, mathematics, chemistry, economics, engineering. Engineers and scientists interested in data processing and the theory of ill-posed problems.