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Nonlinear dynamics new directionsmod...

Gonzalez-Aguilar, Hernan.

Nonlinear dynamics new directionsmodels and applications /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Nonlinear dynamics new directionsedited by Hernan Gonzalez-Aguilar, Edgardo Ugalde.
Reminder of title:	models and applications /
other author:	Gonzalez-Aguilar, Hernan.
Published:	Cham :Springer International Publishing :2015.
Description:	x, 240 p. :ill. (some col.), digital ;24 cm.
Contained By:	Springer eBooks
Subject:	Nonlinear theories.
Online resource:	http://dx.doi.org/10.1007/978-3-319-09864-7
ISBN:	9783319098647 (electronic bk.)

Nonlinear dynamics new directionsmodels and applications /
Nonlinear dynamics new directionsmodels and applications /[electronic resource] :edited by Hernan Gonzalez-Aguilar, Edgardo Ugalde. - Cham :Springer International Publishing :2015. - x, 240 p. :ill. (some col.), digital ;24 cm. - Nonlinear systems and complexity,v.122195-9994 ;. - Nonlinear systems and complexity ;7..

From the Contents: Patterns of Synchrony in Neuronal Networks: The role of synaptic inputs -- On Topological and Hyperbolic Properties of Systems with Homoclinic Tangencies -- Homoclinic [Omega]-explosion: Hyperbolicity Intervals and their Bifurcation Boundaries -- Self-organized Regularity in Long-range Systems.

This book, along with its companion volume, Nonlinear Dynamics New Directions: Theoretical Aspects, covers topics ranging from fractal analysis to very specific applications of the theory of dynamical systems to biology. This second volume contains mostly new applications of the theory of dynamical systems to both engineering and biology. The first volume is devoted to fundamental aspects and includes a number of important new contributions as well as some review articles that emphasize new development prospects. The topics addressed in the two volumes include a rigorous treatment of fluctuations in dynamical systems, topics in fractal analysis, studies of the transient dynamics in biological networks, synchronization in lasers, and control of chaotic systems, among others. This book also: Develops applications of nonlinear dynamics on a diversity of topics such as patterns of synchrony in neuronal networks, laser synchronization, control of chaotic systems, and the study of transient dynamics in biological Includes a study of self-organized regularity in long-range systems Explains use of Levenstein's distance for measuring lexical evolution rates

ISBN: 9783319098647 (electronic bk.)

Standard No.: 10.1007/978-3-319-09864-7doiSubjects--Topical Terms:

182014
Nonlinear theories.

LC Class. No.: QA427

Dewey Class. No.: 003.75

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505 0 $a From the Contents: Patterns of Synchrony in Neuronal Networks: The role of synaptic inputs -- On Topological and Hyperbolic Properties of Systems with Homoclinic Tangencies -- Homoclinic [Omega]-explosion: Hyperbolicity Intervals and their Bifurcation Boundaries -- Self-organized Regularity in Long-range Systems.
520 $a This book, along with its companion volume, Nonlinear Dynamics New Directions: Theoretical Aspects, covers topics ranging from fractal analysis to very specific applications of the theory of dynamical systems to biology. This second volume contains mostly new applications of the theory of dynamical systems to both engineering and biology. The first volume is devoted to fundamental aspects and includes a number of important new contributions as well as some review articles that emphasize new development prospects. The topics addressed in the two volumes include a rigorous treatment of fluctuations in dynamical systems, topics in fractal analysis, studies of the transient dynamics in biological networks, synchronization in lasers, and control of chaotic systems, among others. This book also: Develops applications of nonlinear dynamics on a diversity of topics such as patterns of synchrony in neuronal networks, laser synchronization, control of chaotic systems, and the study of transient dynamics in biological Includes a study of self-organized regularity in long-range systems Explains use of Levenstein's distance for measuring lexical evolution rates
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