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