Übersicht			Auf mobile öffnen

Lieferstatus:	Auf Bestellung (Lieferzeit unbekannt)
Veröffentlichung:	Dezember 2006
Genre:	EDV / Informatik
	A / Algorithm Analysis and Problem Complexity / Algorithms / Algorithms & data structures / Applications of Mathematics / Applied mathematics / Computer Engineering and Networks / Computer organization / computer science / Computer science—Mathematics / Computer system failures / Computer Systems Organization and Communication Networks / Engineering mathematics / Math Applications in Computer Science / Mathematical & statistical software / Mathematical Applications in Computer Science / Mathematical statistics / Mathematik für Informatiker / Maths for computer scientists / Probability and Statistics in Computer Science / System Performance and Evaluation / Systems analysis & design / Theoretische Informatik / Theory of Computation / Wahrscheinlichkeitsrechnung und Statistik mehr...
ISBN:	9780817644857
EAN-Code:	9780817644857
Verlag:	Springer EN
Einband:	Gebunden
Sprache:	English
Serie:	#24 - Progress in Computer Science a
Dimensionen:	H 235 mm / B 155 mm / D 20 mm
Gewicht:	1140 gr
Seiten:	226
Illustration:	XIV, 226 p. 110 illus., schwarz-weiss 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 monograph treats the application of numerous graph-theoretic algorithms to a comprehensive analysis of dynamic enterprise networks. Network dynamics analysis yields valuable information about network performance, efficiency, fault prediction, cost optimization, indicators and warnings. Based on many years of applied research on generic network dynamics, this work covers a number of elegant applications - including many new and experimental results - of traditional graph theory algorithms and techniques to computationally tractable network dynamics analysis to motivate network analysts, practitioners and researchers alike. The material is also suitable for graduate courses addressing state-of-the-art applications of graph theory in analysis of dynamic communication networks, dynamic databasing, and knowledge management.