Simulation: Statistical Foundations and Methodology (Mathematics in Science and Engineering) (Volume 92)

Mihram, GA

ISBN 10: 0124959504 / ISBN 13: 9780124959507

Published by Academic Press, 1972

About this Item

Volume 92. This is an ex-library book and may have the usual library/used-book markings inside.This book has hardback covers. In poor condition, suitable as a reading copy. No dust jacket. Please note the Image in this listing is a stock photo and may not match the covers of the actual item,950grams, ISBN:0124959504.

Seller Inventory # 7088208

Bibliographic Details

• Title: Simulation: Statistical Foundations and Methodology (Mathematics in Science and Engineering) (Volume 92)
• Publisher: Academic Press
• Publication Date: 1972
• ISBN 10: 0124959504
• ISBN 13: 9780124959507
• Binding: Hardcover
• Condition: Poor
• Weight: 950 grams
• Seller catalogs:
  • Mathematics

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