Stochastic Simulation : algorithms and analysis
Sampling-based computational methods have become a fundamental part of the numerical toolset of practitioners and researchers across an enormous number of different applied domains and academic disciplines. This book provides a broad treatment of such sampling-based methods, as well as accompanying...
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| Hlavní autoři: | , |
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| Médium: | Livre numérique |
| Jazyk: | Anglais |
| Vydáno: |
New York, NY :
Springer New York : Springer e-books
[20..].
Cham : Springer Nature |
| Edice: | Stochastic Modelling and Applied Probability
57 |
| Témata: | |
| On-line přístup: | Accès sur la plateforme de l'éditeur Accès sur la plateforme Istex Accès Université d'Orléans Accès INSA CVL |
| Poznámka: |
L'impression du document génère 479 p. Archives Springer e-books (Licence nationale) Archives Springer e-books (Licence nationale) |
| Autres localisations: | Voir dans le Sudoc |
| Edition sous un autre format: | • Stochastic simulation, algorithms and analysis, Søren Asmussen, Peter W. Glynn, 2007, New York, Springer, 1 vol. (XIV-476 p.), Stochastic modelling and applied probability, 978-0-387-30679-7 |