Please use this identifier to cite or link to this item: http://localhost:8080/xmlui/handle/123456789/131149
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dc.contributor.authorChris Myers
dc.date.accessioned2017-04-30T13:31:40Z-
dc.date.available2017-04-30T13:31:40Z-
dc.date.issued2010
dc.identifier.isbn978-953-307-121-3
dc.identifier.urihttp://hdl.handle.net/123456789/131149-
dc.description.abstractUncertainty 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.isoeng
dc.publisherSciyo
dc.relation.isbasedon10.5772/56634
dc.relation.urihttp://www.intechopen.com/books/stochastic-control
dc.rights.uriCC BY-NC-SA (姓名標示-非商業性-相同方式分享)
dc.sourceInTech
dc.subject.classificationComputer and Information Science
dc.subject.classification Numerical Analysis and Scientific Computing
dc.titleStochastic Control
dc.type電子教課書
dc.classification自然科學類
Theme:教科書-自然科學類

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