Vorliegende Sprache |
eng |
Hinweise auf parallele Ausgaben |
360197655 Buchausg. u.d.T.: ‡Gercbach, Ilʹja B., 1933 - : Network reliability and resilience |
ISBN |
978-3-642-22373-0 |
Name |
Gercbach, Ilʹja B. |
Shpungin, Yoseph |
Name ANZEIGE DER KETTE |
Shpungin, Yoseph |
T I T E L |
Network Reliability and Resilience |
Verlagsort |
Berlin, Heidelberg |
Verlag |
Springer Berlin Heidelberg |
Erscheinungsjahr |
2011 |
2011 |
Umfang |
Online-Ressource (X, 64p. 21 illus, digital) |
Reihe |
SpringerBriefs in Electrical and Computer Engineering |
Notiz / Fußnoten |
Includes bibliographical references and index |
Weiterer Inhalt |
Network Reliability and Resilience; Preface; References; Contents; Notation and Abbreviations; 1 Theory; 1.1 Graphs, Networks, Terminals, Structure Function; 1.2 Network Reliability; 1.2.1 Binary Networks with Independent Binary Components; 1.2.2 Network Components with Independent Lifetimes; 1.2.3 Concluding Remarks: Network Resilience; 1.3 D-Spectra; 1.3.1 Introduction; 1.3.2 D-Spectrum of a Single-Step Network; 1.3.3 Formula for Network DOWN Probability; 1.3.4 Networks with Many States; 1.3.5 D-Spectrum and Signature; 1.3.6 Renewal Process of Component Failures. 1.4 Series, Parallel and Recurrent Systems1.4.1 Spectra of Parallel, Series and Recurrent Networks; 1.4.2 Generalized Series and Parallel Multistate Systems; 1.5 Networks with Colored Links; 1.6 Network Component Importance; 1.6.1 Birnbaum Measure of Component Importance; 1.6.2 BIM-Spectrum; 1.6.3 BIMs for Network with Several States; 1.6.4 Joint Reliability Importance; 1.7 Reliability Gradient; 1.7.1 Border States. Evolution Process; 1.7.2 Gradient Formula; 1.8 Basic Monte Carlo Algorithms; 1.8.1 Testing the Network Terminal Connectivity. 1.8.2 Estimating the D-Spectra and Component Importance1.8.3 Estimating the Gradient Vector; 1.8.4 Accuracy of Monte Carlo Reliability Estimation; 1.9 D-Spectra for Multi-Step Systems; References; 2 Applications; 2.1 Network Under Attack: Symmetric Versus Scale-Free Network; 2.2 Network Reliability Design; 2.2.1 Introductory Remarks; 2.2.2 The Dodecahedron Network; 2.2.3 Gradient-Based Network Reorganization; 2.3 Optimal Predisaster Design of Transportation Network; 2.3.1 Formulation of the Problem. The Network; 2.3.2 Scenario A; 2.3.3 Scenario B; 2.3.4 Scenario C. 2.4 Network Disintegration2.4.1 Introduction; 2.4.2 Discrete Densities of the Transition Times; 2.4.3 The Cumulative D-Spectra and State Probabilities; 2.4.4 Network State Probabilities as Function of q; 2.4.5 Network Resilience; References; Index |
Titelhinweis |
Buchausg. u.d.T.: ‡Gercbach, Ilʹja B., 1933 - : Network reliability and resilience |
ISBN |
ISBN 978-3-642-22374-7 |
Klassifikation |
TJK |
TEC041000 |
621.382 |
004.6 |
TK1-9971 |
SK 890 |
Kurzbeschreibung |
Yoseph Shpungin |
2. Kurzbeschreibung |
This book is devoted to the probabilistic description of the behavior of a network in the process of random removal of its components (links, nodes) appearing as a result of technical failures, natural disasters or intentional attacks. It is focused on a practical approach to network reliability and resilience evaluation, based on applications of Monte Carlo methodology to numerical approximation of network combinatorial invariants, including so-called multidimensional destruction spectra. This allows to develop a probabilistic follow-up analysis of the network in the process of its gradual de |
1. Schlagwortkette |
Netzwerk <Graphentheorie> |
Fehlertoleranz |
ANZEIGE DER KETTE |
Netzwerk -- Fehlertoleranz |
SWB-Titel-Idn |
35108665X |
Signatur |
Springer E-Book |
Bemerkungen |
Elektronischer Volltext - Campuslizenz |
Elektronische Adresse |
$uhttp://dx.doi.org/10.1007/978-3-642-22374-7 |
Internetseite / Link |
Volltext |
Siehe auch |
Inhaltsverzeichnis |
Siehe auch |
Inhaltstext |
Siehe auch |
Volltext |