Latouche / Ramaswami / Yao | Matrix-Analytic Methods in Stochastic Models | Buch | 978-1-4614-4908-9 | sack.de

Buch, Englisch, 258 Seiten, Format (B × H): 160 mm x 241 mm, Gewicht: 5325 g

Reihe: Springer Proceedings in Mathematics & Statistics

Latouche / Ramaswami / Yao

Matrix-Analytic Methods in Stochastic Models


2013
ISBN: 978-1-4614-4908-9
Verlag: Springer US

Buch, Englisch, 258 Seiten, Format (B × H): 160 mm x 241 mm, Gewicht: 5325 g

Reihe: Springer Proceedings in Mathematics & Statistics

ISBN: 978-1-4614-4908-9
Verlag: Springer US


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.

Latouche / Ramaswami / Yao Matrix-Analytic Methods in Stochastic Models jetzt bestellen!

Zielgruppe


Research

Weitere Infos & Material


Factorization properties for a MAP-modulated fluid flow model under server vacation policies.- A compressed cyclic reduction for QBDs with low rank upper and lower transitions.- Bilateral matrix-exponential distribution.- AutoCAT: Automated Product-Form Solution of Stochastic Models.- Markovian trees subject to catastrophes: Would they survive forever?.- Majorization and Extremal PH-Distributions.- Acceptance-rejection methods for generating random variates from matrix exponential distributions and rational arrival processes.- Revisit to the tail asymptotics of the double QBD process: Refinement and complete solutions for the coordinate and diagonal directions.- Two-dimensional fluid queues with temporary assistance.- A Fluid Introduction To Brownian Motion & Stochastic Integration.- The impact of dampening demand variability in a production/inventory system with multiple retailers.


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



Ihre Fragen, Wünsche oder Anmerkungen
Vorname*
Nachname*
Ihre E-Mail-Adresse*
Kundennr.
Ihre Nachricht*
Lediglich mit * gekennzeichnete Felder sind Pflichtfelder.
Wenn Sie die im Kontaktformular eingegebenen Daten durch Klick auf den nachfolgenden Button übersenden, erklären Sie sich damit einverstanden, dass wir Ihr Angaben für die Beantwortung Ihrer Anfrage verwenden. Selbstverständlich werden Ihre Daten vertraulich behandelt und nicht an Dritte weitergegeben. Sie können der Verwendung Ihrer Daten jederzeit widersprechen. Das Datenhandling bei Sack Fachmedien erklären wir Ihnen in unserer Datenschutzerklärung.