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Session details: Special issue on the seventh international conference on matrix-analytic methods in stochastic models (MAM7) by Guy Latouche; Vaidyanathan Ramaswami; Mark S. Squillante is a Computer Science article available to read on EtoBox.

What is Session details: Special issue on the seventh international conference on matrix-analytic methods in stochastic models (MAM7) about?

Matrix-analytic methods have become recognized as a standard approach for the mathematical analysis of general classes of complex stochastic models. Research in the area of matrix-analytic methods seeks to discover underlying probabilistic structures intrinsic in such stochastic models, develop numerical algorithms for computing functionals (e.g., performance metrics) of the underlying stochastic processes, and apply these probabilistic structures and/or computational algorithms within a wide variety of fields, which includes computer science and engineering, telephony and communication networks, 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.

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Author

Guy Latouche; Vaidyanathan Ramaswami; Mark S. Squillante

Publisher

ACM

Published

2012

Language

EN

Field

Computer Science (Physical Sciences)