Markov chains : models, algorithms and applications
Markov chains are a particularly powerful and widely used tool for analyzing a variety of stochastic (probabilistic) systems over time. This monograph will present a series of Markov models, starting from the basic models and then building up to higher-order models. Included in the higher-order disc...
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| Main Authors: | , , |
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| Format: | Livre numérique |
| Language: | Anglais |
| Published: |
New York, NY :
Springer US
[20..].
Cham : Springer Nature |
| Edition: | 1st ed. 2006. |
| Series: | International Series in Operations Research & Management Science
83 |
| Subjects: | |
| Online Access: | Accès sur la plateforme de l'éditeur Accès sur la plateforme Istex Accès Université d'Orléans Accès INSA CVL |
| Note: |
Description d'après consultation du 08 avril 2011 Archives Springer e-books (Licence nationale) Archives Springer e-books (Licence nationale) |
| Autres localisations: | Voir dans le Sudoc |
| Edition sous un autre format: | • Markov chains, models, algorithms and applications, Wai-Ki Ching, Michael K. Ng, New York, Springer, 2006, 1 vol. (XIV-205 p.), International series in operations research & management science, 0-387-29335-3 • Markov chains, models, algorithms and applications, Wai-Ki Ching, Michael K. Ng, New York, Springer, 2010, 1 v.(x-201p.), International series in operations research & management science, 978-1-441-93986-9 • Markov Chains: Models, Algorithms and Applications, Texte imprimé, 9780387510095 • Markov chains, models, algorithms and applications, Wai-Ki Ching, Michael K. Ng, New York, Springer, 2006, 1 vol. (XIV-205 p.), International series in operations research & management science, 0-387-29335-3 |
| Summary: | Markov chains are a particularly powerful and widely used tool for analyzing a variety of stochastic (probabilistic) systems over time. This monograph will present a series of Markov models, starting from the basic models and then building up to higher-order models. Included in the higher-order discussions are multivariate models, higher-order multivariate models, and higher-order hidden models. In each case, the focus is on the important kinds of applications that can be made with the class of models being considered in the current chapter. Special attention is given to numerical algorithms that can efficiently solve the models. Therefore, Markov Chains: Models, Algorithms and Applications outlines recent developments of Markov chain models for modeling queueing sequences, Internet, re-manufacturing systems, reverse logistics, inventory systems, bio-informatics, DNA sequences, genetic networks, data mining, and many other practical systems |
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| Item Description: | Description d'après consultation du 08 avril 2011 Archives Springer e-books (Licence nationale) Archives Springer e-books (Licence nationale) |
| Bibliography: | Bibliogr. p. [191]-201. Index |
| ISBN: | 9780387293370 |
| ISSN: | 2214-7934 |
| Access: | Accès en ligne pour les établissements français bénéficiaires des licences nationales Accès soumis à abonnement pour tout autre établissement Conditions particulières de réutilisation pour les bénéficiaires des licences nationales. https://www.licencesnationales.fr/springer-nature-ebooks-contrat-licence-ln-2017 |