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Author | Title | Accn# | Year | Item Type | Claims |
| 1 |
Kocarev, Ljupco |
Consensus and Synchronization in Complex Networks |
I07723 |
2013 |
eBook |
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| 2 |
Kocarev, Ljupco |
Complex Dynamics in Communication Networks |
I06423 |
2005 |
eBook |
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1.
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| Title | Consensus and Synchronization in Complex Networks |
| Author(s) | Kocarev, Ljupco |
| Publication | Berlin, Heidelberg, Springer Berlin Heidelberg, 2013. |
| Description | IX, 275 p : online resource |
| Abstract Note | Synchronization in complex networks is one of the most captivating cooperative phenomena in nature and has been shown to be of fundamental importance in such varied circumstances as the continued existence of species, the functioning of heart pacemaker cells, epileptic seizures, neuronal firing in the feline visual cortex and cognitive tasks in humans. E.g. coupled visual and acoustic interactions make fireflies flash, crickets chirp, and an audience clap in unison. On the other hand, in distributed systems and networks, it is often necessary for some or all of the nodes to calculate some function of certain parameters, e.g. sink nodes in sensor networks being tasked with calculating the average measurement value of all the sensors or multi-agent systems in which all agents are required to coordinate their speed and direction. When all nodes calculate the same function of the initial values in the system, they are said to reach consensus. Such concepts - sometimes also called state agreement, rendezvous, and observer design in control theory - have recently received considerable attention in the computational science and engineering communities. Quite generally, consensus formation among a small group of expert models of an objective process is challenging because the separate models have already been optimized in their own parameter spaces. ?? The mathematical framework for describing synchronization and consensus in natural and technical sciences is similar and the aim of this book is to provide the first comprehensive work in which synchronization and consensus are presented jointly, thereby allowing the reader to learn about the similarities and differences of the two concepts in both a systematic and application-oriented fashion. The ten chapters have been carefully selected so as to reflect the current state-of-the-art of synchronization and consensus in networked systems; in particular two chapters dealing with a novel application of synchronization concepts in machine learning have been included. ?? The book is aimed at all scientists and engineers, graduate students and practitioners, working in the fields of synchronization and related phenomena |
| ISBN,Price | 9783642333590 |
| Keyword(s) | 1. Applications of Graph Theory and Complex Networks
2. COMPLEXITY
3. COMPUTATIONAL COMPLEXITY
4. Computational Intelligence
5. COMPUTER SIMULATION
6. Control and Systems Theory
7. Control engineering
8. EBOOK
9. EBOOK - SPRINGER
10. PHYSICS
11. Simulation and Modeling
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| Item Type | eBook |
Multi-Media Links
Please Click here for eBook
Circulation Data
| Accession# | |
Call# | Status | Issued To | Return Due On | Physical Location |
| I07723 |
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On Shelf |
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2.
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| Title | Complex Dynamics in Communication Networks |
| Author(s) | Kocarev, Ljupco;Vattay, Gabor |
| Publication | Berlin, Heidelberg, Springer Berlin Heidelberg, 2005. |
| Description | X, 362 p : online resource |
| Abstract Note | Computer and communication networks are among society's most important infrastructures. The internet, in particular, is a giant global network of networks without central control or administration. It is a paradigm of a complex system, where complexity may arise from different sources: topological structure, network evolution, connection and node diversity, or dynamical evolution. The present volume is the first book entirely devoted to the new and emerging field of nonlinear dynamics of TCP/IP networks. It addresses both scientists and engineers working in the general field of communication networks |
| ISBN,Price | 9783540323815 |
| Keyword(s) | 1. APPLICATION SOFTWARE
2. COMPLEX SYSTEMS
3. COMPUTER ORGANIZATION
4. Computer Systems Organization and Communication Networks
5. DYNAMICAL SYSTEMS
6. EBOOK
7. EBOOK - SPRINGER
8. ELECTRICAL ENGINEERING
9. Information Systems Applications (incl. Internet)
10. STATISTICAL PHYSICS
11. Statistical Physics and Dynamical Systems
|
| Item Type | eBook |
Multi-Media Links
Please Click here for eBook
Circulation Data
| Accession# | |
Call# | Status | Issued To | Return Due On | Physical Location |
| I06423 |
|
|
On Shelf |
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