Overview
- The only forum on the theoretical, algorithmic and methodological aspects of matrix-analytic and related methods in stochastic models, and their application across various fields
- This area of mathematics and its applications have grown and advanced tremendously over the past few years from the previous original and early developments in the area
- Presents the latest advances in this very important area of mathematics, as well as the latest advances in the applications of this area of mathematics across a broad spectrum of fields
- Includes supplementary material: sn.pub/extras
Part of the book series: Springer Proceedings in Mathematics & Statistics (PROMS, volume 27)
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Keywords
Table of contents (11 papers)
Editors and Affiliations
About the editors
Guy Latouche, Université Libre de Bruxelles, Belgium
Vaidyanathan Ramaswami , AT&T Labs Research, USA
Jay Sethuraman, Columbia University, USA
Karl Sigman, Columbia University, USA
Mark S. Squillante, IBM Thomas J. Watson Research Center, USA
David D. Yao, Columbia University, USA
Bibliographic Information
Book Title: Matrix-Analytic Methods in Stochastic Models
Editors: Guy Latouche, Vaidyanathan Ramaswami, Jay Sethuraman, Karl Sigman, Mark S. Squillante, David Yao
Series Title: Springer Proceedings in Mathematics & Statistics
DOI: https://doi.org/10.1007/978-1-4614-4909-6
Publisher: Springer New York, NY
eBook Packages: Mathematics and Statistics, Mathematics and Statistics (R0)
Copyright Information: Springer Science+Business Media New York 2013
Hardcover ISBN: 978-1-4614-4908-9Published: 05 December 2012
Softcover ISBN: 978-1-4899-9424-0Published: 28 January 2015
eBook ISBN: 978-1-4614-4909-6Published: 04 December 2012
Series ISSN: 2194-1009
Series E-ISSN: 2194-1017
Edition Number: 1
Number of Pages: XIV, 258
Topics: Probability Theory and Stochastic Processes, Numerical Analysis, Operations Research, Management Science