LEADER 00000nam a22003498i 4500 
001    CR9781107297111 
003    UkCbUP 
005    20180406134631.0 
006    m|||||o||d|||||||| 
007    cr|||||||||||| 
008    130709s2018||||enk     o     ||1 0|eng|d 
020    9781107297111|q(ebook) 
020    |z9781107056268|q(hardback) 
040    UkCbUP|beng|erda|cUkCbUP 
050 00 QC20.7.N6|bB63 2018 
082 00 530.15|223 
100 1  Boccaletti, S.|q(Stefano), 
245 10 Synchronization :|bfrom coupled systems to complex 
       networks /|cStefano Boccaletti [and three others]. 
264  1 Cambridge :|bCambridge University Press,|c2018. 
300    1 online resource (x, 255 pages) :|bdigital, PDF file(s). 
336    text|btxt|2rdacontent 
337    computer|bc|2rdamedia 
338    online resource|bcr|2rdacarrier 
500    Title from publisher's bibliographic system (viewed on 05 
       Apr 2018). 
520    A modern introduction to synchronization phenomena, this 
       text presents recent discoveries and the current state of 
       research in the field, from low-dimensional systems to 
       complex networks. The book describes some of the main 
       mechanisms of collective behaviour in dynamical systems, 
       including simple coupled systems, chaotic systems, and 
       systems of infinite-dimension. After introducing the 
       reader to the basic concepts of nonlinear dynamics, the 
       book explores the main synchronized states of coupled 
       systems and describes the influence of noise and the 
       occurrence of synchronous motion in multistable and 
       spatially-extended systems. Finally, the authors discuss 
       the underlying principles of collective dynamics on 
       complex networks, providing an understanding of how 
       networked systems are able to function as a whole in order
       to process information, perform coordinated tasks, and 
       respond collectively to external perturbations. The 
       demonstrations, numerous illustrations and application 
       examples will help advanced graduate students and 
       researchers gain an organic and complete understanding of 
       the subject. 
650  0 Nonlinear theories. 
650  0 Synchronization. 
650  0 Pattern formation (Physical sciences) 
650  0 Chaotic synchronization. 
650  0 Dynamics. 
856 40 |uhttps://doi.org/10.1017/9781107297111 
936    CambEBA2018/19