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Mathematical technology of networks = Bielefeld, December 2013 /

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Mathematical technology of networks/ edited by Delio Mugnolo.
Reminder of title:	Bielefeld, December 2013 /
other author:	Mugnolo, Delio.
corporate name:	Workshop on the Preservation of Stability under Discretization
Published:	Cham :Springer International Publishing : : 2015.,
Description:	viii, 205 p. :ill. (some col.), digital ; : 24 cm.;
Contained By:	Springer eBooks
Subject:	Graph theory - Congresses. -
Online resource:	http://dx.doi.org/10.1007/978-3-319-16619-3
ISBN:	9783319166193 (electronic bk.)

Mathematical technology of networks = Bielefeld, December 2013 /
Mathematical technology of networksBielefeld, December 2013 /[electronic resource] :edited by Delio Mugnolo. - Cham :Springer International Publishing :2015. - viii, 205 p. :ill. (some col.), digital ;24 cm. - Springer proceedings in mathematics & statistics,v.1282194-1009 ;. - Springer proceedings in mathematics & statistics ;v.24..

Lack of ground state for NLSE on bridge-type graphs -- Dynamics on a graph as the limit of the dynamics of a "fat graph" -- Instability of stationary solutions of evolution -- Statistical characterization of a small world network applied to forest fires -- Network dynamics of an inverse problem -- Spectral inequalities for quantum graphs -- Intrinsic metrics on graphs - a survey -- Spectral gap for complete graphs: upper and lower estimates -- Sharp spectral estimates for periodic matrix-valued Jacobi operators -- Identifying key nodes in social networks using multi-criteria decision-making tools -- On band-gap structure of spectrum -- Spectra, energy and Laplacian energy of strong double graphs -- System/environment duality of nonequilibrium network observables.

Bringing together leading researchers in the fields of functional analysis, mathematical physics and graph theory, as well as natural scientists using networks as a tool in their own research fields, such as neuroscience and machine learning, this volume presents recent advances in functional, analytical, probabilistic, and spectral aspects in the study of graphs, quantum graphs, and complex networks. The contributors to this volume explore the interplay between theoretical and applied aspects of discrete and continuous graphs. Their work helps to close the gap between different avenues of research on graphs, including metric graphs and ramified structures. All papers were presented at the conference "Mathematical Technology of Networks," held December 4-7, 2013 at the Zentrum fur interdisziplinare Forschung (ZiF) in Bielefeld, Germany, and are supplemented with detailed figures illustrating both abstract concepts as well as their real-world applications. Dynamical models on graphs or random graphs are increasingly used in applied sciences as mathematical tools to study complex systems whose exact structure is too complicated to be known in detail. Besides its importance in applied sciences, the field is also increasingly attracting the attention of mathematicians and theoretical physicists interested in the fundamental phenomena (synchronization, phase transitions, etc.) that can be studied in the relatively simple framework of dynamical models of random graphs.

ISBN: 9783319166193 (electronic bk.)

Standard No.: 10.1007/978-3-319-16619-3doiSubjects--Topical Terms:

768405
Graph theory
--Congresses.

LC Class. No.: QA166

Dewey Class. No.: 511.5

Mathematical technology of networks = Bielefeld, December 2013 /
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520 $a Bringing together leading researchers in the fields of functional analysis, mathematical physics and graph theory, as well as natural scientists using networks as a tool in their own research fields, such as neuroscience and machine learning, this volume presents recent advances in functional, analytical, probabilistic, and spectral aspects in the study of graphs, quantum graphs, and complex networks. The contributors to this volume explore the interplay between theoretical and applied aspects of discrete and continuous graphs. Their work helps to close the gap between different avenues of research on graphs, including metric graphs and ramified structures. All papers were presented at the conference "Mathematical Technology of Networks," held December 4-7, 2013 at the Zentrum fur interdisziplinare Forschung (ZiF) in Bielefeld, Germany, and are supplemented with detailed figures illustrating both abstract concepts as well as their real-world applications. Dynamical models on graphs or random graphs are increasingly used in applied sciences as mathematical tools to study complex systems whose exact structure is too complicated to be known in detail. Besides its importance in applied sciences, the field is also increasingly attracting the attention of mathematicians and theoretical physicists interested in the fundamental phenomena (synchronization, phase transitions, etc.) that can be studied in the relatively simple framework of dynamical models of random graphs.
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