| 书目名称 | Matrix-Analytic Methods in Stochastic Models | | 编辑 | Guy Latouche,Vaidyanathan Ramaswami,David Yao | | 视频video | | | 概述 | 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 mathemat | | 丛书名称 | Springer Proceedings in Mathematics & Statistics | | 图书封面 |  | | 描述 | Matrix-analytic and related methods have become recognized as an important and fundamental approach for the mathematical analysis of general classes of complex stochastic models. Research in the area of matrix-analytic and related methods seeks to discover underlying probabilistic structures intrinsic in such stochastic models, develop numerical algorithms for computing functionals (e.g., performance measures) of the underlying stochastic processes, and apply these probabilistic structures and/or computational algorithms within a wide variety of fields. This volume presents recent research results on: the theory, algorithms and methodologies concerning matrix-analytic and related methods in stochastic models; and the application of matrix-analytic and related methods in various fields, which includes but is not limited to computer science and engineering, communication networks and telephony, electrical and industrial engineering, operations research, management science, financial and risk analysis, and bio-statistics. These research studies provide deep insights and understanding of the stochastic models of interest from a mathematics and/or applications perspective, as well as id | | 出版日期 | Conference proceedings 2013 | | 关键词 | Brownian Motion; Matrix-Analytic Methods; Operations research; Queueing Networks; Stochastic Models | | 版次 | 1 | | doi | https://doi.org/10.1007/978-1-4614-4909-6 | | isbn_softcover | 978-1-4899-9424-0 | | isbn_ebook | 978-1-4614-4909-6Series ISSN 2194-1009 Series E-ISSN 2194-1017 | | issn_series | 2194-1009 | | copyright | Springer Science+Business Media New York 2013 |
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发表于 2025-3-21 19:52:19
