Network Reliability

A Lecture Course

AvIlya Gertsbakh,Yoseph Shpungin

Häftad, Engelska, 2020

Del i serien SpringerBriefs in Electrical and Computer Engineering

536 kr

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Beskrivning

This introductory book equips the reader to apply the core concepts and methods of network reliability analysis to real-life problems. Based on the lecture notes of eight courses taught by the authors, the book is also self-contained, with no theory needed beyond the lectures.

Produktinformation

Utgivningsdatum:2020-01-02
Mått:155 x 235 x 6 mm
Vikt:166 g
Format:Häftad
Språk:Engelska
Serie:SpringerBriefs in Electrical and Computer Engineering
Antal sidor:90
Förlag:Springer Verlag, Singapore
ISBN:9789811514579

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Mer om författaren

Ilya B. Gertsbakh is Professor Emeritus in the Department of Mathematics at Ben-Gurion University of the Negev, Israel. He is author or coauthor of seven books, the recent of which is “Ternary networks: Reliability and Monte Carlo” (with Yoseph Shpungin and Radislav Vaisman), published by Springer in 2014. Ilya Gertsbakh has published some 100 papers on topics in operations research, reliability, applied probability and applied statistics. He received M.Sc degrees in mechanical engineering and mathematics (1961) from Latvian State University in Riga, Latvia, and the Ph.D. degree (1964) in applied probability and statistics from Latvian Academy of Sciences, also in Riga. Yoseph Shpungin is Professor Emeritus in the Software Engineering Department, at Shamoon College of Engineering, Beer Sheva, Israel. He is a coauthor of three books and numerous publications in international scientific journals. He received his M.Sc degree in mathematics(1969) from Latvian State University in Riga, Latvia, and Ph.D. degree (1997) in mathematics from Ben Gurion University, Beer Sheva, Israel.

Innehållsförteckning

1 Probability and Statistics: a short reminder.- 2 The concept of network.- 3 Network Static and Dynamic Reliability.- 4 Monte Carlo method for evaluating network reliability.- 5 Lomonosov’s “Turnip” for Network Reliability evaluation.