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Random Iterative Models /

The recent development of computation and automation has lead to quick advances in the theory and practice of recursive methods for stabilization, identification and control of complex stochastic models (guiding a rocket or a plane, orgainizing multiaccess broadcast channels, self-learning of neural...

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Détails bibliographiques
Cote:Libro Electrónico
Auteur principal: Duflo, Marie
Format: Électronique eBook
Langue:Inglés
Publié: Berlin, Heidelberg : Springer Berlin Heidelberg, 1997.
Collection:Stochastic modelling and applied probability ; 34.
Sujets:
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