Random Integral Equations with Applications to Life Sciences and Engineering

Tsokos, Chris P. & padgett, W. J.

ISBN 10: 0127021507 / ISBN 13: 9780127021508

Published by Academic Press, New York, 1974

About this Item

278 pages. This is Volume 108 in the Mathematics in Science and Engineering series. ex library copy with call # inked out on spine, library sticker on rear cover, pocket on inside rear cover, typical though few internal stamps, includes 'withdrawn' stamps, NOT stamped on title page. ; Ex University Library; 6 1/4 x 9 1/4 ".

Seller Inventory # 97440

Bibliographic Details

• Title: Random Integral Equations with Applications to Life Sciences and Engineering
• Publisher: Academic Press, New York
• Publication Date: 1974
• Language: English
• ISBN 10: 0127021507
• ISBN 13: 9780127021508
• Binding: Hardcover
• Condition: Very Good with no dust jacket
• Seller catalogs:
  • Science, Physical Sciences, & Math

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