Systems and Simulation by Dimitris N Chorafas - 1st Edition - ISBN: 9780123749185, 9780080957814

Systems and Simulation by Dimitris N Chorafas, Volume 14

1st Edition

Series Editors: Dimitris Chorafas
eBook ISBN: 9780080957814
Hardcover ISBN: 9780123749185
Imprint: Elsevier Science
Published Date: 1st April 2000
Page Count: 322
Tax/VAT will be calculated at check-out
File Compatibility per Device

PDF, EPUB, VSB (Vital Source):
PC, Apple Mac, iPhone, iPad, Android mobile devices.

Amazon Kindle eReader.

Institutional Access

Table of Contents

1 Overview
I Methods of Operator Approximation in System Modelling
2 Nonlinear Operator Approximation with Preassigned Accuracy
2.1 Introduction
2.2 Generic formulation of the problem
2.3 Operator approximation in space C([0; 1]):
2.4 Operator approximation in Banach spaces by polynomial operators
2.5 Approximation on compact sets in topological vector spaces
2.6 Approximation on noncompact sets in Hilbert spaces
2.7 Special results for maps into Banach spaces
2.8 Concluding remarks
3 Interpolation of Nonlinear Operators 65
3.1 Introduction
3.2 Lagrange interpolation in Banach spaces
3.3 Weak interpolation of nonlinear operators
3.4 Some related results
3.5 Concluding remarks
4 Realistic Operators and their Approximation
4.1 Introduction
4.2 Formalization of concepts related to description of real-world objects
4.3 Approximation of R¡continuous operators
4.4 Concluding remarks
5 Methods of Best Approximation for Nonlinear Operators
5.1 Introduction
5.2 Best Approximation of nonlinear operators in Banach spaces: Deterministic case
5.3 Estimation of mean and covariance matrix for random vectors
5.4 Best Hadamard-quadratic approximation
5.5 Best polynomial approximation
5.6 Best causal approximation
5.7 Best hybrid approximations
5.8 Concluding remarks
II Optimal Estimation of Random Vectors
6 Computational Methods for Optimal Filtering of Stochastic Signals
6.1 Introduction
6.2 Optimal linear Filtering in Finite dimensional vector spaces
6.3 Optimal linear Filtering in Hilbert spaces
6.4 Optimal causal linear Filtering with piecewise constant memory
6.5 Optimal causal polynomial Filtering with arbitrarily variable memory
6.6 Optimal nonlinear Filtering with no memory constraint
6.7 Concluding remarks
7 Computational Methods for Optimal Compression and Reconstruction of Random Data
7.1 Introduction
7.2 Standard Principal Component Analysis and Karhunen-Loeeve transform (PCA{KLT)
7.3 Rank-constrained matrix approximations
7.4 Generic PCA{KLT
7.5 Optimal hybrid transform based on Hadamard-quadratic approximation
7.6 Optimal transform formed by a combination of nonlinear operators
7.7 Optimal generalized hybrid transform
7.8 Concluding remarks


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.

Key Features

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


This book is intended for: Applied mathematicians and Electrical engineers And: Statisticians


No. of pages:
© Elsevier Science 1965
Elsevier Science
eBook ISBN:
Hardcover ISBN:

About the Series Editors

Dimitris Chorafas Series Editor

Since 1961, Dr Dimitris N. Chorafas has advised financial institutions and industrial corporations in strategic planning, risk management, computers and communications systems, and internal controls. A graduate of the University of California, Los Angeles, the University of Paris, and the Technical University of Athens, Dr Chorafas has been a Fulbright scholar. Financial institutions which have sought his assistance include the Union Bank of Switzerland, Bank Vontobel, CEDEL, the Bank of Scotland, Credit Agricole, Österreichische Länderbank (Bank Austria), First Austrian Bank, Commerzbank, Dresdner Bank, Mid-Med Bank, Demir Bank, Banca Nazionale dell'Agricoltura, Istituto Bancario Italiano, Credito Commerciale and Banca Provinciale Lombarda. Among multinational corporations Dr Chorafas has worked as consultant to top management, are: General Electric-Bull, Univac, Honeywell, Digital Equipment Corp, Olivetti, Nestlé, Omega, Italcementi, Italmobiliare, AEG-Telefunken, Olympia, Osram, Antar, Pechiney, the American Management Association and host of other client firms in Europe and the United States. Dr Chorafas has served on the faculty of the Catholic University of America and as visiting professor at Washington State University, George Washington University, University of Vermont, University of Florida, and Georgia Institute of Technology. Also, the University of Alberta, Ecole d'Etudes Industrielles de l'Université de Genève, and Technical University of Karlsruhe. More than 6,000 banking, industrial and government executives have participated in his seminars in the United States, England, Germany, other European countries, Asia and Latin America.

Affiliations and Expertise