Computational Methods for Modeling of Nonlinear Systems Mathematics in Science and Engineering, 78

Torokhti, Anatoli and Phil Howlett:

ISBN 10: 0127595503 / ISBN 13: 9780127595504

Published by Elsevier Science, 1971

About this Item

179 Seiten Das hier angebotene Buch stammt aus einer teilaufgelösten Bibliothek und kann die entsprechenden Kennzeichnungen aufweisen (Rückenschild, Instituts-Stempel.); der Buchzustand ist ansonsten ordentlich und dem Alter entsprechend gut. Einband folienkaschiert. In ENGLISCHER Sprache. Sprache: Englisch Gewicht in Gramm: 525.

Seller Inventory # 2234430

Bibliographic Details

• Title: Computational Methods for Modeling of Nonlinear Systems Mathematics in Science and Engineering, 78
• Publisher: Elsevier Science
• Publication Date: 1971
• Language: English
• ISBN 10: 0127595503
• ISBN 13: 9780127595504
• Binding: gebundene Ausgabe
• Condition: Gut
• Weight: 525 grams
• Seller catalogs:
  • 90 Varia

About this title

Synopsis

In this book, we study theoretical and practical aspects of computing methods for mathematical modelling of nonlinear systems. A number of computing techniques are considered, such as methods of operator approximation with any given accuracy; operator interpolation techniques including a non-Lagrange interpolation; methods of system representation subject to constraints associated with concepts of causality, memory and stationarity; methods of system representation with an accuracy that is the best within a given class of models; methods of covariance matrix estimation;
methods for low-rank matrix approximations; hybrid methods based on a combination of iterative procedures and best operator approximation; and
methods for information compression and filtering under condition that a filter model should satisfy restrictions associated with causality and different types of memory.

As a result, the book represents a blend of new methods in general computational analysis,
and specific, but also generic, techniques for study of systems theory ant its particular
branches, such as optimal filtering and information compression.

- Best operator approximation,
- Non-Lagrange interpolation,
- Generic Karhunen-Loeve transform
- Generalised low-rank matrix approximation
- Optimal data compression
- Optimal nonlinear filtering