Stochastic simulation and Monte Carlo methods : mathematical foundations of stochastic simulation
In various scientific and industrial fields, stochastic simulations are taking on a new importance. This is due to the increasing power of computers and practitioners aim to simulate more and more complex systems, and thus use random parameters as well as random noises to model the parametric uncert...
Guardat en:
| Autors principals: | , |
|---|---|
| Format: | Livre numérique |
| Idioma: | Anglais |
| Publicat: |
Berlin, Heidelberg :
Springer Berlin Heidelberg
[20..].
Cham : Springer Nature |
| Edició: | 1st ed. 2013. |
| Col·lecció: | Stochastic Modelling and Applied Probability
68 |
| Matèries: | |
| Accés en línia: | Accès sur la plateforme de l'éditeur Accès sur la plateforme Istex Accès Université d'Orléans Accès INSA CVL |
| Nota: |
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 and Monte Carlo methods, mathematical foundations of stochastic simulation, Carl Graham, Denis Talay, 2013, Berlin, Springer-Verlag, 1 vol. (XVI-260 p.), Stochastic modelling and applied probability, 978-3-642-39362-4 • Stochastic Simulation and Monte Carlo Methods, Texte imprimé, 9783642393648 |