Computational Methods for Modeling of Nonlinear Systems

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  • Author : Anatoli Torokhti
  • Publisher : Elsevier Science Limited
  • Pages : 322 pages
  • ISBN : 9780123421500
  • Rating : /5 from reviews
CLICK HERE TO GET THIS BOOK >>>Computational Methods for Modeling of Nonlinear Systems

Download or Read online Computational Methods for Modeling of Nonlinear Systems full in PDF, ePub and kindle. this book written by Anatoli Torokhti and published by Elsevier Science Limited which was released on 18 January 1968 with total page 322 pages. We cannot guarantee that Computational Methods for Modeling of Nonlinear Systems book is available in the library, click Get Book button and read full online book in your kindle, tablet, IPAD, PC or mobile whenever and wherever You Like. 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

Computational Methods for Modeling of Nonlinear Systems

Computational Methods for Modeling of Nonlinear Systems
  • Author : Anatoli Torokhti,Phil Howlett
  • Publisher : Elsevier Science Limited
  • Release : 18 January 1968
GET THIS BOOK Computational Methods for Modeling of Nonlinear Systems

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

Computational Methods for Modeling of Nonlinear Systems by Anatoli Torokhti and Phil Howlett

Computational Methods for Modeling of Nonlinear Systems by Anatoli Torokhti and Phil Howlett
  • Author : Anatoli Torokhti,Phil Howlett
  • Publisher : Elsevier
  • Release : 11 April 2007
GET THIS BOOK Computational Methods for Modeling of Nonlinear Systems by Anatoli Torokhti and Phil Howlett

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

Introduction to Stochastic Control Theory

Introduction to Stochastic Control Theory
  • Author : Anonim
  • Publisher : Elsevier Science
  • Release : 12 December 1970
GET THIS BOOK Introduction to Stochastic Control Theory

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

Numerical Methods for Nonlinear Engineering Models

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  • Author : John R. Hauser
  • Publisher : Springer Science & Business Media
  • Release : 24 March 2009
GET THIS BOOK Numerical Methods for Nonlinear Engineering Models

There are many books on the use of numerical methods for solving engineering problems and for modeling of engineering artifacts. In addition there are many styles of such presentations ranging from books with a major emphasis on theory to books with an emphasis on applications. The purpose of this book is hopefully to present a somewhat different approach to the use of numerical methods for - gineering applications. Engineering models are in general nonlinear models where the response of some

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  • Publisher : Springer Nature
  • Release : 13 November 2020
GET THIS BOOK Nonlinear Analysis Problems Applications and Computational Methods

This book is a collection of original research papers as proceedings of the 6th International Congress of the Moroccan Society of Applied Mathematics organized by Sultan Moulay Slimane University, Morocco, during 7th–9th November 2019. It focuses on new problems, applications and computational methods in the field of nonlinear analysis. It includes various topics including fractional differential systems of various types, time-fractional systems, nonlinear Jerk equations, reproducing kernel Hilbert space method, thrombin receptor activation mechanism model, labour force evolution model, nonsmooth

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  • Author : Bryan Andrew Toth
  • Publisher : Unknown
  • Release : 18 January 2022
GET THIS BOOK Computational Methods for Parameter Estimation in Nonlinear Models

This dissertation expands on existing work to develop a dynamical state and parameter estimation methodology in non-linear systems. The field of parameter and state estimation, also known as inverse problem theory, is a mature discipline concerned with determining unmeasured states and parameters in experimental systems. This is important since measurement of some of the parameters and states may not be possible, yet knowledge of these unmeasured quantities is necessary for predictions of the future state of the system. This field

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Concrete Operators  Spectral Theory  Operators in Harmonic Analysis and Approximation
  • Author : Manuel Cepedello Boiso,Håkan Hedenmalm,Marinus A. Kaashoek,Alfonso Montes Rodríguez,Sergei Treil
  • Publisher : Springer Science & Business Media
  • Release : 04 November 2013
GET THIS BOOK Concrete Operators Spectral Theory Operators in Harmonic Analysis and Approximation

This book contains a collection of research articles and surveys on recent developments on operator theory as well as its applications covered in the IWOTA 2011 conference held at Sevilla University in the summer of 2011. The topics include spectral theory, differential operators, integral operators, composition operators, Toeplitz operators, and more. The book also presents a large number of techniques in operator theory.

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  • Author : Anatoli Torokhti,Tracy Yerkes Thomas
  • Publisher : Elsevier Science Limited
  • Release : 18 January 1961
GET THIS BOOK Plastic Flow and Fracture in Solids

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

Computational Methods in Nonlinear Structural and Solid Mechanics

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  • Author : Ahmed K. Noor,Harvey G. McComb
  • Publisher : Elsevier
  • Release : 20 May 2014
GET THIS BOOK Computational Methods in Nonlinear Structural and Solid Mechanics

Computational Methods in Nonlinear Structural and Solid Mechanics covers the proceedings of the Symposium on Computational Methods in Nonlinear Structural and Solid Mechanics. The book covers the development of efficient discretization approaches; advanced numerical methods; improved programming techniques; and applications of these developments to nonlinear analysis of structures and solids. The chapters of the text are organized into 10 parts according to the issue they tackle. The first part deals with nonlinear mathematical theories and formulation aspects, while the second part

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  • Author : José Mira,José R. Álvarez
  • Publisher : Springer
  • Release : 03 August 2003
GET THIS BOOK Computational Methods in Neural Modeling

The two-volume set LNCS 2686 and LNCS 2687 constitute the refereed proceedings of the 7th International Work-Conference on Artificial and Natural Neural Networks, IWANN 2003, held in MaÃ3, Menorca, Spain in June 2003.The 197 revised papers presented were carefully reviewed and selected for inclusion in the book and address the following topics: mathematical and computational methods in neural modelling, neurophysiological data analysis and modelling, structural and functional models of neurons, learning and other plasticity phenomena, complex systems dynamics, cognitive processes and artificial intelligence, methodologies

IUTAM Symposium on Nonlinear Stochastic Dynamics and Control

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  • Author : W.Q. Zhu,Y.K. Lin,G. Q. Cai
  • Publisher : Springer Science & Business Media
  • Release : 07 March 2011
GET THIS BOOK IUTAM Symposium on Nonlinear Stochastic Dynamics and Control

Non-linear stochastic systems are at the center of many engineering disciplines and progress in theoretical research had led to a better understanding of non-linear phenomena. This book provides information on new fundamental results and their applications which are beginning to appear across the entire spectrum of mechanics. The outstanding points of these proceedings are Coherent compendium of the current state of modelling and analysis of non-linear stochastic systems from engineering, applied mathematics and physics point of view. Subject areas include:

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  • Author : A. A. Feld́baum,Anatoli Torokhti,Phil Howlett
  • Publisher : Elsevier Science Limited
  • Release : 18 January 1965
GET THIS BOOK Optimal Control Systems

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

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  • Publisher : Springer
  • Release : 22 December 2016
GET THIS BOOK Computational Methods in Earthquake Engineering

This is the third book in a series on Computational Methods in Earthquake Engineering. The purpose of this volume is to bring together the scientific communities of Computational Mechanics and Structural Dynamics, offering a wide coverage of timely issues on contemporary Earthquake Engineering. This volume will facilitate the exchange of ideas in topics of mutual interest and can serve as a platform for establishing links between research groups with complementary activities. The computational aspects are emphasized in order to address

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  • Publisher : Springer Science & Business Media
  • Release : 06 December 2012
GET THIS BOOK Modeling Mesh Generation and Adaptive Numerical Methods for Partial Differential Equations

With considerations such as complex-dimensional geometries and nonlinearity, the computational solution of partial differential systems has become so involved that it is important to automate decisions that have been normally left to the individual. This book covers such decisions: 1) mesh generation with links to the software generating the domain geometry, 2) solution accuracy and reliability with mesh selection linked to solution generation. This book is suited for mathematicians, computer scientists and engineers and is intended to encourage interdisciplinary interaction between the