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Computational Methods for Modeling of Nonlinear Systems, Volume 212.

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-Lagrang...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Torokhti, A. (Anatoli)
Otros Autores: Howlett, Phil
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Burlington : Elsevier, 2007.
Temas:
Acceso en línea:Texto completo

MARC

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520 |a 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 m. 
505 0 |a Front Cover; Computational Methods for Modelling of Nonlinear Systems; Copyright Page; Preface; Table of Contents; Chapter 1 Overview; Part I Methods of Operator Approximation in System Modelling; Chapter 2 Nonlinear Operator Approximation with Preassigned Accuracy; Chapter 3 Interpolation of Nonlinear Operators; Chapter 4 Realistic Operators and their Approximation; Chapter 5 Methods of Best Approximation for Nonlinear Operators; Part II Optimal Estimation of Random Vectors; Chapter 6 Computational Methods for Optimal Filtering of Stochastic Signals. 
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