Random Integral Equations with Applications to Life Sciences and Engineering (Mathematics in Science and Engineering, Vol. 108)

Torokhti, Anatoli und Phil Howlett:

ISBN 10: 0127021507 / ISBN 13: 9780127021508

Published by Elsevier Science Publishing Co Inc, 1974

About this Item

Seiten; 9780127021508.4 Gewicht in Gramm: 500.

Seller Inventory # 714100

Bibliographic Details

• Title: Random Integral Equations with Applications to Life Sciences and Engineering (Mathematics in Science and Engineering, Vol. 108)
• Publisher: Elsevier Science Publishing Co Inc
• Publication Date: 1974
• Language: English
• ISBN 10: 0127021507
• ISBN 13: 9780127021508
• Binding: hardcover
• Condition: Befriedigend
• Weight: 500 grams
• Seller catalogs:
  • 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