Overview
- Equips the reader to apply the core concepts and methods of network reliability analysis to real-life problems
- Offers a wealth of illustrative, concrete examples, and is self-contained
- Requires only a minimal background in probability theory and computer programming
Part of the book series: SpringerBriefs in Electrical and Computer Engineering (BRIEFSELECTRIC)
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Table of contents (8 chapters)
Keywords
About this book
This introductory book equips the reader to apply the core concepts and methods of network reliability analysis to real-life problems. It explains the modeling and critical analysis of systems and probabilistic networks, and requires only a minimal background in probability theory and computer programming.
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. The primary focus is on essential “modus operandi,” which are illustrated in numerous examples and presented separately from the more difficult theoretical material.
Authors and Affiliations
About the authors
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.
Bibliographic Information
Book Title: Network Reliability
Book Subtitle: A Lecture Course
Authors: Ilya Gertsbakh, Yoseph Shpungin
Series Title: SpringerBriefs in Electrical and Computer Engineering
DOI: https://doi.org/10.1007/978-981-15-1458-6
Publisher: Springer Singapore
eBook Packages: Engineering, Engineering (R0)
Copyright Information: The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2020
Softcover ISBN: 978-981-15-1457-9Published: 02 January 2020
eBook ISBN: 978-981-15-1458-6Published: 15 November 2019
Series ISSN: 2191-8112
Series E-ISSN: 2191-8120
Edition Number: 1
Number of Pages: IX, 90
Number of Illustrations: 21 b/w illustrations, 27 illustrations in colour
Topics: Communications Engineering, Networks, Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences, Probability and Statistics in Computer Science