Matrix-analytic methods in stochastic models
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 intrin...
Enregistré dans:
| Auteur principal: | |
|---|---|
| Autres auteurs: | , , , , |
| Format: | Livre numérique |
| Langue: | Anglais |
| Publié: |
New York, NY :
Springer New York
[20..].
Cham : Springer Nature |
| Édition: | 1st ed. 2013. |
| Collection: | Springer Proceedings in Mathematics & Statistics
27 |
| Accès en ligne: | Accès sur la plateforme de l'éditeur Accès sur la plateforme Istex Accès Université d'Orléans Accès INSA CVL |
| Note: |
Archives Springer e-books (Licence nationale) Archives Springer e-books (Licence nationale) |
| Autres localisations: | Voir dans le Sudoc |
| Edition sous un autre format: | • Matrix-Analytic Methods in Stochastic Models, Texte imprimé, 9781461449089 • Matrix-Analytic Methods in Stochastic Models, Texte imprimé, 9781461449102 • Matrix-Analytic Methods in Stochastic Models, Texte imprimé, 9781489994240 |
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| 100 | 1 | |a Latouche, Guy. | |
| 245 | 1 | 0 | |a Matrix-analytic methods in stochastic models |c edited by Guy Latouche, Vaidyanathan Ramaswami, Jay Sethuraman, Karl Sigman, Mark S. Squillante, David Yao. |
| 250 | |a 1st ed. 2013. | ||
| 260 | |a New York, NY : |b Springer New York. | ||
| 260 | |a Cham : |b Springer Nature, |c [20..]. | ||
| 490 | 1 | |a Springer Proceedings in Mathematics & Statistics |v 27 |x 2194-1017 | |
| 500 | |a Archives Springer e-books (Licence nationale) | ||
| 500 | |a Archives Springer e-books (Licence nationale) | ||
| 505 | 1 | |a 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 | |
| 506 | |a Accès en ligne pour les établissements français bénéficiaires des licences nationales | ||
| 506 | |a Accès soumis à abonnement pour tout autre établissement | ||
| 506 | |a Conditions particulières de réutilisation pour les bénéficiaires des licences nationales. https://www.licencesnationales.fr/springer-nature-ebooks-contrat-licence-ln-2017 | ||
| 520 | |a 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 | ||
| 700 | 1 | |a Ramaswami, Vaidyanathan. |4 pbd | |
| 700 | 1 | |a Sethuraman, Jay. |4 pbd | |
| 700 | 1 | |a Sigman, Karl. |4 pbd | |
| 700 | 1 | |a Squillante, Mark S. |4 pbd | |
| 700 | 1 | |a Yao, David. |4 pbd | |
| 776 | 0 | |t Matrix-Analytic Methods in Stochastic Models |b Texte imprimé |z 9781461449089 | |
| 776 | 0 | |t Matrix-Analytic Methods in Stochastic Models |b Texte imprimé |z 9781461449102 | |
| 776 | 0 | |t Matrix-Analytic Methods in Stochastic Models |b Texte imprimé |z 9781489994240 | |
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