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Dynamic optimization: deterministic and stochastic models

This book explores discrete-time dynamic optimization and provides a detailed introduction to both deterministic and stochastic models. Covering problems with finite and infinite horizon, as well as Markov renewal programs, Bayesian control models and partially observable processes, the book focuses...

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Detalles Bibliográficos
Autores principales: Hinderer, Karl, Rieder, Ulrich, Stieglitz, Michael
Lenguaje:eng
Publicado: Springer 2016
Materias:
Acceso en línea:https://dx.doi.org/10.1007/978-3-319-48814-1
http://cds.cern.ch/record/2243870