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  • Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
Matrix-Analytic Methods in Stochastic Models

Matrix-Analytic Methods in Stochastic Models

Latouche, Guy
Ramaswami, Vaidyanathan
Sethuraman, Jay

Hardcover

Series: Springer Proceedings in Mathematics & Statistics, Book 27

Business GeneralGeneral MathematicsProbability & Statistics

ISBN10: 1461449081
ISBN13: 9781461449089
Publisher: Springer Nature
Published: Dec 5 2012
Pages: 258
Weight: 1.23
Height: 0.63 Width: 6.14 Depth: 9.21
Language: English
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 identify directions for future research.

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