Editors:
- Includes supplementary material: sn.pub/extras
Part of the book series: Lecture Notes in Computer Science (LNCS, volume 10684)
Part of the book sub series: Theoretical Computer Science and General Issues (LNTCS)
Conference series link(s): ACMPT: International Conference on Analytical and Computational Methods in Probability Theory
Conference proceedings info: ACMPT 2017.
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Table of contents (44 papers)
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Front Matter
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Queueing Models and Stochastic Networks
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Front Matter
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Reliability, Risk, Insurance
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Front Matter
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About this book
This book constitutes the refereed proceedings of the First International Conference on Analytical and Computational Methods in Probability Theory and its Applications, ACMPT 2017, held in Moscow, Russia, in October 2017.
The 42 full papers presented were carefully reviewed and selected from 173 submissions. The conference program consisted of four main themes associated with significant contributions made by A.D.Soloviev. These are:
- Analytical methods in probability theory,
- Computational methods in probability theory,
- Asymptotical methods in probability theory,Â
- the history of mathematics.
Keywords
- probability theory and applications
- analytical methods
- computational methods
- asymptotic methods of analysis
- operational research
- analytical methods
- computational methods
- computer networks
- data security
- history of mathematics
- Markov chains
- numerical methods
- operations research
- probability
- probability density function
- probability distribution
- queue lengths
- queueing networks
- queueing systems
- random variables
Editors and Affiliations
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Department of Applied Probability and Informatics, RUDN University, Moscow, Russia
Vladimir V. Rykov
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City University of Hong Kong, Hong Kong, Hong Kong
Nozer D. Singpurwalla
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Steklov Mathematical Institute of Russian Academy of Sciences, Moscow, Russia
Andrey M. Zubkov
Bibliographic Information
Book Title: Analytical and Computational Methods in Probability Theory
Book Subtitle: First International Conference, ACMPT 2017, Moscow, Russia, October 23-27, 2017, Proceedings
Editors: Vladimir V. Rykov, Nozer D. Singpurwalla, Andrey M. Zubkov
Series Title: Lecture Notes in Computer Science
DOI: https://doi.org/10.1007/978-3-319-71504-9
Publisher: Springer Cham
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer International Publishing AG 2017
Softcover ISBN: 978-3-319-71503-2Published: 21 December 2017
eBook ISBN: 978-3-319-71504-9Published: 21 December 2017
Series ISSN: 0302-9743
Series E-ISSN: 1611-3349
Edition Number: 1
Number of Pages: XVI, 540
Number of Illustrations: 64 b/w illustrations
Topics: Probability and Statistics in Computer Science, Simulation and Modeling, Computer Communication Networks, Security, Numeric Computing