Übersicht			Auf mobile öffnen

Lieferstatus:	Auf Bestellung (Lieferzeit unbekannt)
Veröffentlichung:	November 2014
Genre:	Schulbücher
	Analysis / Analysis (Mathematics) / Applications of Graph Theory and Complex Networks / C / Calculus & mathematical analysis / Complex analysis, complex variables / Computational Mathematics and Numerical Analysis / Computer mathematics / Computer software / Graph Theory / Mathematical & statistical software / Mathematical analysis / Mathematical Modeling and Industrial Mathematics / Mathematical modelling / Mathematical models / Mathematical optimization / Mathematical physics / Mathematical Software / Mathematics and Statistics / Maths for engineers / Numerical analysis / Optimization / Physics mehr...
ISBN:	9783319097572
EAN-Code:	9783319097572
Verlag:	Springer EN
Einband:	Gebunden
Sprache:	English
Serie:	#104 - Springer Proceedings in Mathematics & Statistics
Dimensionen:	H 235 mm / B 155 mm / D
Gewicht:	3829 gr
Seiten:	139
Illustration:	X, 139 p. 41 illus., 23 illus. in color., schwarz-weiss Illustrationen, farbige Illustrationen
Zus. Info:	EUDR exemption - product or manufacturing materials placed on the market prior to 31.12.2025.
Bewertung:	Titel bewerten / Meinung schreiben

Inhalt:

This volume compiles the major results of conference participants from the "Third International Conference in Network Analysis" held at the Higher School of Economics, Nizhny Novgorod in May 2013, with the aim to initiate further joint research among different groups. The contributions in this book cover a broad range of topics relevant to the theory and practice of network analysis, including the reliability of complex networks, software, theory, methodology, and applications.Network analysis has become a major research topic over the last several years. The broad range of applications that can be described and analyzed by means of a network has brought together researchers, practitioners from numerous fields such as operations research, computer science, transportation, energy, biomedicine, computational neuroscience and social sciences. In addition, new approaches and computer environments such as parallel computing, grid computing, cloud computing, and quantum computing have helped to solve large scale network optimization problems.