Matrix-Analytic Methods in Stochastic Models: 27 (Springer Proceedings in Mathematics & Statistics, 27) - Tapa dura

Libro 30 de 364: Springer Proceedings in Mathematics & Statistics
 
9781461449089: Matrix-Analytic Methods in Stochastic Models: 27 (Springer Proceedings in Mathematics & Statistics, 27)
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ISBN 10: 1461449081 ISBN 13: 9781461449089
Editorial: Springer, 2012

Sinopsis

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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Acerca del autor

Guy Latouche, Universite 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

De la contraportada

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 applications perspective, as well as identify directions for future research.

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Editorial
Springer
Año de publicación
2012
Idioma
Inglés
ISBN 10 
1461449081
ISBN 13 
9781461449089
Encuadernación
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Número de páginas
272
Editor
Latouche Guy, Sethuraman Jay, Ramaswami Vaidyanathan
Contacto del fabricante
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Otras ediciones populares con el mismo título

9781489994240: Matrix-Analytic Methods in Stochastic Models: 27 (Springer Proceedings in Mathematics & Statistics)

Edición Destacada

ISBN 10:  1489994246 ISBN 13:  9781489994240
Editorial: Springer, 2015
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