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Dynamics of Information Systems: Algorithmic Approaches

Name: Dynamics of Information Systems: Algorithmic Approaches
Brand: Springer-Verlag New York Inc.
SKU: 9781461475811
Price: 3426 CZK
Availability: InStock

Autor: Panos M. Pardalos, Alexey Sorokin

Jazyk:

Vazba: Pevná

Vydavatel: Springer-Verlag New York Inc.

Dostupnost: Skladem u dodavatele

Odesíláme za 10-13 dnů

3 426 Kč

Dynamics of Information Systems: Algorithmic Approaches presents recent developments and results fou...

Informace o knize

Autor

Panos M. Pardalos, Alexey Sorokin

Jazyk

Angličtina

Vazba

Kniha - Pevná

Vydáno

2013

Stránek

344

EAN

9781461475811

ISBN

1461475813

Enbook ID

01428853

Vydavatel

Springer-Verlag New York Inc.

Hmotnost

6506

Rozměry

155 x 235 x 22

Kompletní popis

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.