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 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

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  • Author : Anatoli Torokhti
  • Publisher : Elsevier
  • Pages : 322 pages
  • ISBN : 9780080475387
  • Rating : 4/5 from 21 reviews
CLICK HERE TO GET THIS BOOKComputational 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

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 BOOKComputational 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

Adaptive Learning Methods for Nonlinear System Modeling

Adaptive Learning Methods for Nonlinear System Modeling
  • Author : Danilo Comminiello,Jose C. Principe
  • Publisher : Butterworth-Heinemann
  • Release : 11 June 2018
GET THIS BOOKAdaptive Learning Methods for Nonlinear System Modeling

Adaptive Learning Methods for Nonlinear System Modeling presents some of the recent advances on adaptive algorithms and machine learning methods designed for nonlinear system modeling and identification. Real-life problems always entail a certain degree of nonlinearity, which makes linear models a non-optimal choice. This book mainly focuses on those methodologies for nonlinear modeling that involve any adaptive learning approaches to process data coming from an unknown nonlinear system. By learning from available data, such methods aim at estimating the nonlinearity

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Numerical Time-Dependent Partial Differential Equations for Scientists and Engineers
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  • Publisher : Academic Press
  • Release : 21 September 2010
GET THIS BOOKNumerical Time-Dependent Partial Differential Equations for Scientists and Engineers

It is the first text that in addition to standard convergence theory treats other necessary ingredients for successful numerical simulations of physical systems encountered by every practitioner. The book is aimed at users with interests ranging from application modeling to numerical analysis and scientific software development. It is strongly influenced by the authors research in in space physics, electrical and optical engineering, applied mathematics, numerical analysis and professional software development. The material is based on a year-long graduate course taught

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  • 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 BOOKConcrete 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.

Computational Methods for Modeling of Nonlinear Systems

Computational Methods for Modeling of Nonlinear Systems
  • Author : Anatoli Torokhti,Phil Howlett
  • Publisher : Elsevier Science Limited
  • Release : 12 February 1967
GET THIS BOOKComputational 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 Modelling of Concrete Structures

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  • Author : Nenad Bicanic,René Borst,Herbert Mang,Gunther Meschke
  • Publisher : CRC Press
  • Release : 24 February 2010
GET THIS BOOKComputational Modelling of Concrete Structures

Since 1984 the EURO-C conference series (Split 1984, Zell am See 1990, Innsbruck 1994, Badgastein 1998, St Johann im Pongau 2003, Mayrhofen 2006, Schladming 2010) has provided a forum for academic discussion of the latest theoretical, algorithmic and modelling developments associated with computational simulations of concrete and concrete structure

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  • Author : Kenneth Kuan-yun Kuo,Ragini Acharya
  • Publisher : John Wiley & Sons
  • Release : 01 May 2012
GET THIS BOOKApplications of Turbulent and Multi-Phase Combustion

"This book is the second of two follow-on volumes to the author's bestseller, Principles of Combustion, Second Edition published in 2005. This text focuses on applications, with coverage not available elsewhere, including solid propellants, burning behavior, and chemical boundary layer flows. Kuo provides a multiphase systems approach beginning with more common topics and moving to higher level applications. As with Kuo's earlier book, large numbers of examples and problems and a solutions manual are provided"--Provided by publisher.

Computational Methods for Modeling of Nonlinear Systems

Computational Methods for Modeling of Nonlinear Systems
  • Author : Anatoli Torokhti,Phil Howlett
  • Publisher : Elsevier Science Limited
  • Release : 25 May 1967
GET THIS BOOKComputational 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

Introduction to Stochastic Control Theory

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

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

Computational Solution of Nonlinear Systems of Equations

Computational Solution of Nonlinear Systems of Equations
  • Author : Eugene L. Allgower,Kurt Georg
  • Publisher : American Mathematical Soc.
  • Release : 03 April 1990
GET THIS BOOKComputational Solution of Nonlinear Systems of Equations

Nonlinear equations arise in essentially every branch of modern science, engineering, and mathematics. However, in only a very few special cases is it possible to obtain useful solutions to nonlinear equations via analytical calculations. As a result, many scientists resort to computational methods. This book contains the proceedings of the Joint AMS-SIAM Summer Seminar, ``Computational Solution of Nonlinear Systems of Equations,'' held in July 1988 at Colorado State University. The aim of the book is to give a wide-ranging survey

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  • Author : Christian Kirches
  • Publisher : Springer Science & Business Media
  • Release : 23 November 2011
GET THIS BOOKFast Numerical Methods for Mixed-Integer Nonlinear Model-Predictive Control

Christian Kirches develops a fast numerical algorithm of wide applicability that efficiently solves mixed-integer nonlinear optimal control problems. He uses convexification and relaxation techniques to obtain computationally tractable reformulations for which feasibility and optimality certificates can be given even after discretization and rounding.

Numerical Methods for Unconstrained Optimization and Nonlinear Equations

Numerical Methods for Unconstrained Optimization and Nonlinear Equations
  • Author : J. E. Dennis, Jr.,Robert B. Schnabel
  • Publisher : SIAM
  • Release : 01 December 1996
GET THIS BOOKNumerical Methods for Unconstrained Optimization and Nonlinear Equations

This book has become the standard for a complete, state-of-the-art description of the methods for unconstrained optimization and systems of nonlinear equations. Originally published in 1983, it provides information needed to understand both the theory and the practice of these methods and provides pseudocode for the problems. The algorithms covered are all based on Newton's method or "quasi-Newton" methods, and the heart of the book is the material on computational methods for multidimensional unconstrained optimization and nonlinear equation problems. The republication

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  • Author : Andreas Rauh,Ekaterina Auer
  • Publisher : Springer Science & Business Media
  • Release : 06 June 2011
GET THIS BOOKModeling, Design, and Simulation of Systems with Uncertainties

To describe the true behavior of most real-world systems with sufficient accuracy, engineers have to overcome difficulties arising from their lack of knowledge about certain parts of a process or from the impossibility of characterizing it with absolute certainty. Depending on the application at hand, uncertainties in modeling and measurements can be represented in different ways. For example, bounded uncertainties can be described by intervals, affine forms or general polynomial enclosures such as Taylor models, whereas stochastic uncertainties can be