02939nam 2200709 a 450 991013959040332120200520144314.0978661325783397812832578311283257831978111809298911180929889781118092972111809297X97811180929961118092996(CKB)2550000000051680(EBL)697741(SSID)ssj0000536965(PQKBManifestationID)11324355(PQKBTitleCode)TC0000536965(PQKBWorkID)10554189(PQKB)10746015(Au-PeEL)EBL697741(CaPaEBR)ebr10494622(CaONFJC)MIL325783(OCoLC)751969643(CaSebORM)9781118092989(MiAaPQ)EBC697741(PPN)164484558(OCoLC)826647040(OCoLC)ocn826647040 (EXLCZ)99255000000005168020110323d2011 uy 0engur|n|---|||||txtccrFundamentals of stochastic networks /Oliver C. Ibe1st editionLowell, Mass. John Wiley & Sons Inc.c20111 online resource (309 p.)Description based upon print version of record.9781118065679 1118065670 Includes bibliographical references and index.FUNDAMENTALS OF STOCHASTIC NETWORKS; CONTENTS; PREFACE; ACKNOWLEDGMENTS; 1: BASIC CONCEPTS IN PROBABILITY; 2: OVERVIEW OF STOCHASTIC PROCESSES; 3: ELEMENTARY QUEUEING THEORY; 4: ADVANCED QUEUEING THEORY; 5: QUEUEING NETWORKS; 6: APPROXIMATIONS OF QUEUEING SYSTEMS AND NETWORKS; 7: ELEMENTS OF GRAPH THEORY; 8: BAYESIAN NETWORKS; 9: BOOLEAN NETWORKS; 10: RANDOM NETWORKS; REFERENCES; INDEXAn interdisciplinary approach to understanding queueing and graphical networks In today's era of interdisciplinary studies and research activities, network models are becoming increasingly important in various areas where they have not regularly been used. Combining techniques from stochastic processes and graph theory to analyze the behavior of networks, Fundamentals of Stochastic Networks provides an interdisciplinary approach by including practical applications of these stochastic networks in various fields of study, from engineering and operations management to communicatioQueuing theoryStochastic analysisQueuing theory.Stochastic analysis.519.2/2Ibe Oliver C(Oliver Chukwudi),1947-522175MiAaPQMiAaPQMiAaPQBOOK9910139590403321Fundamentals of stochastic networks835539UNINA