Methods of Nonlinear Analysis: v. 1 (Mathematics in Science & Engineering)

Bellman, Richard:

ISBN 10: 0120849011 / ISBN 13: 9780120849017

Published by Academic Press Inc 01.04.1970., 1970

About this Item

322 Seiten ex Library Book aus einer wissenschafltichen Bibliothek Altersfreigabe FSK ab 0 Jahre Sprache: Englisch Gewicht in Gramm: 550.

Seller Inventory # 335795

Bibliographic Details

• Title: Methods of Nonlinear Analysis: v. 1 (Mathematics in Science & Engineering)
• Publisher: Academic Press Inc 01.04.1970.
• Publication Date: 1970
• Language: English
• ISBN 10: 0120849011
• ISBN 13: 9780120849017
• Binding: Gebundene Ausgabe
• Condition: Gut
• Weight: 550 grams
• Seller catalogs:
  • Alle Bücher

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