Stochastic Control
| dc.contributor.editor | Myers, Chris | |
| dc.date.accessioned | 2021-04-20T15:03:41Z | |
| dc.date.available | 2021-04-20T15:03:41Z | |
| dc.date.issued | 2010 | |
| dc.identifier | ONIX_20210420_9789533071213_215 | |
| dc.identifier.uri | https://directory.doabooks.org/handle/20.500.12854/64859 | |
| dc.description.abstract | Uncertainty presents significant challenges in the reasoning about and controlling of complex dynamical systems. To address this challenge, numerous researchers are developing improved methods for stochastic analysis. This book presents a diverse collection of some of the latest research in this important area. In particular, this book gives an overview of some of the theoretical methods and tools for stochastic analysis, and it presents the applications of these methods to problems in systems theory, science, and economics. | |
| dc.language | English | |
| dc.subject.classification | thema EDItEUR::P Mathematics and Science::PB Mathematics::PBW Applied mathematics | en_US |
| dc.subject.other | Mathematical modelling | |
| dc.title | Stochastic Control | |
| dc.type | book | |
| oapen.identifier.doi | 10.5772/260 | |
| oapen.relation.isPublishedBy | 78a36484-2c0c-47cb-ad67-2b9f5cd4a8f6 | |
| oapen.relation.isbn | 9789533071213 | |
| oapen.relation.isbn | 9789535159384 | |
| oapen.imprint | IntechOpen | |
| oapen.pages | 662 |
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