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100   $a20150210d2015      u|         0
101 0 $aeng
135   $aur|n|---|||||
181   $ctxt
182   $cc
183   $acr
200 10$aNonlinear Dynamics New Directions $eModels and Applications /$fedited by Hernán González-Aguilar, Edgardo Ugalde
205   $a1st ed. 2015.
210  1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2015.
215   $a1 online resource (243 p.)
225 1 $aNonlinear Systems and Complexity,$x2195-9994 ;$v12
300   $aDescription based upon print version of record.
311   $a3-319-09863-2 
320   $aIncludes bibliographical references at the end of each chapters.
327   $aFrom the Contents: Patterns of Synchrony in Neuronal Networks: The role of synaptic inputs -- On Topological and Hyperbolic Properties of Systems with Homoclinic Tangencies -- Homoclinic ?-explosion: Hyperbolicity Intervals and their Bifurcation Boundaries -- Self-organized Regularity in Long-range Systems.
330   $aThis book, along with its companion volume, Nonlinear Dynamics New Directions: Theoretical Aspects, covers topics ranging from fractal analysis to very specific applications of the theory of dynamical systems to biology. This second volume contains mostly new applications of the theory of dynamical systems to both engineering and biology. The first volume is devoted to fundamental aspects and includes a number of important new contributions as well as some review articles that emphasize new development prospects. The topics addressed in the two volumes include a rigorous treatment of fluctuations in dynamical systems, topics in fractal analysis, studies of the transient dynamics in biological networks, synchronization in lasers, and control of chaotic systems, among others. This book also: ˇ         Develops applications of nonlinear dynamics on a diversity of topics such as patterns of synchrony in neuronal networks, laser synchronization, control of chaotic systems, and the study of transient dynamics in biological ˇ         Includes a study of self-organized regularity in long-range systems ˇ         Explains use of Levenstein's distance for measuring lexical evolution rates.
410  0$aNonlinear Systems and Complexity,$x2195-9994 ;$v12
606   $aComputational complexity
606   $aDynamics
606   $aErgodic theory
606   $aControl engineering
606   $aComplexity$3https://scigraph.springernature.com/ontologies/product-market-codes/T11022
606   $aDynamical Systems and Ergodic Theory$3https://scigraph.springernature.com/ontologies/product-market-codes/M1204X
606   $aControl and Systems Theory$3https://scigraph.springernature.com/ontologies/product-market-codes/T19010
615  0$aComputational complexity.
615  0$aDynamics.
615  0$aErgodic theory.
615  0$aControl engineering.
615 14$aComplexity.
615 24$aDynamical Systems and Ergodic Theory.
615 24$aControl and Systems Theory.
676   $a515.39
676   $a515.48
676   $a620
676   $a629.8
702   $aGonzález-Aguilar$b Hernán$4edt$4http://id.loc.gov/vocabulary/relators/edt
702   $aUgalde$b Edgardo$4edt$4http://id.loc.gov/vocabulary/relators/edt
906   $aBOOK
912   $a9910299702103321
996   $aNonlinear Dynamics New Directions$91465427
997   $aUNINA