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Dynamics of Information Systems: Algorithmic Approaches (Hardcover, 2013 ed.) Loot Price: R5,769
Discovery Miles 57 690
Dynamics of Information Systems: Algorithmic Approaches (Hardcover, 2013 ed.): Alexey Sorokin, Panos M. Pardalos

Dynamics of Information Systems: Algorithmic Approaches (Hardcover, 2013 ed.)

Alexey Sorokin, Panos M. Pardalos

Series: Springer Proceedings in Mathematics & Statistics, 51

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Loot Price R5,769 Discovery Miles 57 690 | Repayment Terms: R541 pm x 12*

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Dynamics of Information Systems: Algorithmic Approaches presents recent developments and results found by participants of the Fourth International Conference on the Dynamics of Information Systems, which took place at the University of Florida, Gainesville FL, USA on February 20-22, 2012. The purpose of this conference was to bring together scientists and engineers from industry, government, and universities to exchange knowledge and results in a broad range of topics relevant to the theory and practice of the dynamics of information systems. Dynamics of Information plays an increasingly critical role in our society. The influence of information on social, biological, genetic, and military systems must be better understood to achieve large advances in the capability and understanding of these systems. Applications are widespread and include: detection of terrorist networks, design of highly efficient businesses, computer networks, quantum entanglement, genome modeling, multi-robotic systems, and industrial and manufacturing safety. The book contains state-of-the-art work on theory and practice relevant to the dynamics of information systems. It covers algorithmic approaches to numerical computations with infinite and infinitesimal numbers; presents important problems arising in service-oriented systems, such as dynamic composition and analysis of modern service-oriented information systems and estimation of customer service times on a rail network from GPS data; addresses the complexity of the problems arising in stochastic and distributed systems; and discusses modulating communication for improving multi-agent learning convergence. Network issues-in particular minimum-risk maximum-clique problems, vulnerability of sensor networks, influence diffusion, community detection, and link prediction in social network analysis, as well as a comparative analysis of algorithms for transmission network expansion planning-are described in later chapters.

General

Imprint: Springer-Verlag New York
Country of origin: United States
Series: Springer Proceedings in Mathematics & Statistics, 51
Release date: August 2013
First published: 2013
Editors: Alexey Sorokin • Panos M. Pardalos
Dimensions: 235 x 155 x 25mm (L x W x T)
Format: Hardcover
Pages: 344
Edition: 2013 ed.
ISBN-13: 978-1-4614-7581-1
Categories: Books > Reference & Interdisciplinary > Communication studies > Information theory > Cybernetics & systems theory
Books > Business & Economics > Business & management > Management & management techniques > Operational research
Books > Science & Mathematics > Mathematics > Applied mathematics > Non-linear science
LSN: 1-4614-7581-3
Barcode: 9781461475811

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