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A Dynamical Perspective on the 4 Model

This book presents a careful selection of the most important developments of the phi^4 model, offering a judicious summary of this model;

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Model Reduction of Complex Dynamical Systems

This contributed volume presents some of the latest research related to model order reduction of complex dynamical systems with a focus on;

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Nonlinear Pinning Control of Complex Dynamical Networks

are based on determining a model for the unknow system using a recurrent neural network, using on-line extended Kalman filtering for learning;

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Applications of Nonlinear Dynamics To Developmental Process Modeling

metaphor and realizing its potential. Divided into 4 parts, this book is a result of a recent conference on dynamical systems and development;

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Applications of Nonlinear Dynamics To Developmental Process Modeling

metaphor and realizing its potential. Divided into 4 parts, this book is a result of a recent conference on dynamical systems and development;

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Data Analytic Techniques for Dynamical Systems

instruction on innovative techniques designed to enhance quantitative skills in a substantive area. This latest volume focuses on the methodological;

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Dynamical Systems in Theoretical Perspective

This book focuses on theoretical aspects of dynamical systems in the broadest sense. It highlights novel and relevant results on;

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Turnpike Theory for the Robinson-Solow-Srinivasan Model

analyzed in Chapter 4. Chapter 5 studies infinite horizon optimal control problems related to the RSS model with a nonconcave utility function;

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Data Analytic Techniques for Dynamical Systems

instruction on innovative techniques designed to enhance quantitative skills in a substantive area. This latest volume focuses on the methodological;

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Modeling in Mathematics

Modeling in Mathematics deals with the concept of modeling in the field of mathematics. It includes a statistical and spectral model for;

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Fractal Geometry and Dynamical Systems in Pure and Applied Mathematics I

, Dynamical Systems and Economics, held November 8-12, 2011 in Messina, Italy; the AMS Special Session on Fractal Geometry in Pure and Applied;

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Cracked Rotors

of the crack location and depth is possible by means of a model based diagnostic approach, provided that the model of the crack and the model;

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Moduli Spaces and Arithmetic Dynamics

of lectures delivered at a workshop on Moduli Spaces and the Arithmetic of Dynamical Systems at the Bellairs Research Institute, Barbados, in 2010;

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Interpolatory Methods for Model Reduction

Dynamical systems are a principal tool in the modeling, prediction, and control of a wide range of complex phenomena. As the need for;

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Deterministic Learning Theory for Identification, Recognition, and Control

-based closed-loop control via the so-called internal and dynamical matching of system dynamics. This actually represents a new model;

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Deterministic Learning Theory for Identification, Recognition, and Control

represents a new model of information processing, i.e. a model of dynamical parallel distributed processing (DPDP).;

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Neural Network Modeling and Identification of Dynamical Systems

Neural Network Modeling and Identification of Dynamical Systems presents a new approach on how to obtain the adaptive neural network;

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Interate Maps on the Interval As Dynamical Systems

>Iterated Maps on the Interval as Dynamical Systems is a classic reference used widely by researchers and graduate students in mathematics and;

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Modelling, Simulation and Control of Non-linear Dynamical Systems

of dynamical systems is presented. It is illustrated with examples in the MATLAB programming language. Third, a new method for model-based adaptive;

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Dynamical Systems

local stability of an age-structured Hepatitis B model, the dynamics of a predator-prey model, avian influenza, tuberculosis, malaria and HIV-TB;

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Modelling, Analysis, and Control of Networked Dynamical Systems

preliminaries and the general networked dynamical model that is used throughout the rest of the book. The second part focuses on synchronization;

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Mathematical Perspectives on Neural Networks

-- computational, dynamical, and statistical; the other assembles these three perspectives into a unified overview of the neural networks field.;

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Mathematical Perspectives on Neural Networks

-- computational, dynamical, and statistical; the other assembles these three perspectives into a unified overview of the neural networks field.;

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Dynamical Systems in Applications

of recent findings on dynamical systems in the broadest sense. Divided into 46 contributed chapters, it addresses a diverse range of problems. The;

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Strong Coupling Gauge Theories In Lhc Era - Proceedings Of The Workshop In Honor Of Toshihide Maskawa's 70th Birthday And 35th Anniversary Of Dynamical Symmetry Breaking In Scgt

theories (SCGTs), with particular emphasis on the model buildings to be tested in the LHC experiments. Dynamical issues are discussed in lattice;

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Dynamical Systems

Several distinctive aspects make Dynamical Systems unique, including: treating the subject from a mathematical perspective with the;

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Neuronal Dynamics

modeling and analysis of networks of neurons in the perspective of dynamical systems.;

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