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Matrix-Analytic Methods in Stochastic Models
. Ed(S): Latouche, Guy; Ramaswami, V.; Sethuraman, Jay; Sigman, Karl; Squillante, Mark; Yao, David
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Description for Matrix-Analytic Methods in Stochastic Models
Hardback. Discovers 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 variety of fields. Editor(s): Latouche, Guy; Ramaswami, V.; Sethuraman, Jay; Sigman, Karl; Squillante, Mark; Yao, David. Series: Springer Proceedings in Mathematics and Statistics. Num Pages: 258 pages, biography. BIC Classification: KJT; PBKS; PBT. Category: (P) Professional & Vocational. Dimension: 234 x 156 x 15. Weight in Grams: 573.
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 ... Read more
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 ... Read more
Product Details
Format
Hardback
Publication date
2012
Publisher
Springer-Verlag New York Inc. United States
Number of pages
258
Condition
New
Series
Springer Proceedings in Mathematics and Statistics
Number of Pages
258
Place of Publication
New York, NY, United States
ISBN
9781461449089
SKU
V9781461449089
Shipping Time
Usually ships in 15 to 20 working days
Ref
99-15
About . Ed(S): Latouche, Guy; Ramaswami, V.; Sethuraman, Jay; Sigman, Karl; Squillante, Mark; Yao, David
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
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