000			03743nam a22006255i 4500
001			978-3-540-71269-5
003			DE-He213
005			20161121231049.0
007			cr nn 008mamaa
008			100301s2007 gw | s |||| 0|eng d
020			_a9783540712695 _9978-3-540-71269-5
024	7		_a10.1007/978-3-540-71269-5 _2doi
050		4	_aQC174.7-175.36
072		7	_aPHS _2bicssc
072		7	_aPHDT _2bicssc
072		7	_aSCI055000 _2bisacsh
082	0	4	_a621 _223
100	1		_aOsipov, Grigory V. _eauthor.
245	1	0	_aSynchronization in Oscillatory Networks _h[electronic resource] / _cby Grigory V. Osipov, Jürgen Kurths, Changsong Zhou.
264		1	_aBerlin, Heidelberg : _bSpringer Berlin Heidelberg, _c2007.
300			_aXIV, 370 p. 221 illus. _bonline resource.
336			_atext _btxt _2rdacontent
337			_acomputer _bc _2rdamedia
338			_aonline resource _bcr _2rdacarrier
347			_atext file _bPDF _2rda
490	1		_aSpringer Series in Synergetics, _x0172-7389
505	0		_aBasics on Synchronization and Paradigmatic Models -- Basic Models -- Synchronization Due to External Periodic Forcing -- Synchronization of Two Coupled Systems -- Synchronization in Geometrically Regular Ensembles -- Ensembles of Phase Oscillators -- Chains of Coupled Limit-Cycle Oscillators -- Ensembles of Chaotic Oscillators with a Periodic-Doubling Route to Chaos, R#x00F6;ssler Oscillators -- Intermittent-Like Oscillations in Chains of Coupled Maps -- Regular and Chaotic Phase Synchronization of Coupled Circle Maps -- Controlling Phase Synchronization in Oscillatory Networks -- Chains of Limit-Cycle Oscillators -- Chains and Lattices of Excitable Luo–Rudy Systems -- Synchronization in Complex Networks and Influence of Noise -- Noise-Induced Synchronization in Ensembles of Oscillatory and Excitable Systems -- Networks with Complex Topology.
520			_aThe formation of collective behavior in large ensembles or networks of coupled oscillatory elements is one of the oldest and most fundamental aspects of dynamical systems theory. Potential and present applications span a vast spectrum of fields ranging from physics, chemistry, geoscience, through life- and neurosciences to engineering, the economic and the social sciences. This work systematically investigates a large number of oscillatory network configurations that are able to describe many real systems such as electric power grids, lasers or the heart muscle - to name but a few. This book is conceived as an introduction to the field for graduate students in physics and applied mathematics as well as being a compendium for researchers from any field of application interested in quantitative models.
650		0	_aPhysics.
650		0	_aDynamics.
650		0	_aErgodic theory.
650		0	_aGame theory.
650		0	_aSystem theory.
650		0	_aMechanics.
650		0	_aBiophysics.
650		0	_aBiological physics.
650		0	_aStatistical physics.
650		0	_aDynamical systems.
650	1	4	_aPhysics.
650	2	4	_aStatistical Physics, Dynamical Systems and Complexity.
650	2	4	_aSystems Theory, Control.
650	2	4	_aMechanics.
650	2	4	_aDynamical Systems and Ergodic Theory.
650	2	4	_aGame Theory, Economics, Social and Behav. Sciences.
650	2	4	_aBiophysics and Biological Physics.
700	1		_aKurths, Jürgen. _eauthor.
700	1		_aZhou, Changsong. _eauthor.
710	2		_aSpringerLink (Online service)
773	0		_tSpringer eBooks
776	0	8	_iPrinted edition: _z9783540712688
830		0	_aSpringer Series in Synergetics, _x0172-7389
856	4	0	_uhttp://dx.doi.org/10.1007/978-3-540-71269-5
912			_aZDB-2-PHA
950			_aPhysics and Astronomy (Springer-11651)
999			_c508019 _d508019