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Titlebook: Infinite Horizon Optimal Control; Deterministic and St Dean A. Carlson,Alain B. Haurie,Arie Leizarowitz Book 1991Latest edition Springer-Ve

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書(shū)目名稱Infinite Horizon Optimal Control
副標(biāo)題Deterministic and St
編輯Dean A. Carlson,Alain B. Haurie,Arie Leizarowitz
視頻videohttp://file.papertrans.cn/465/464634/464634.mp4
圖書(shū)封面Titlebook: Infinite Horizon Optimal Control; Deterministic and St Dean A. Carlson,Alain B. Haurie,Arie Leizarowitz Book 1991Latest edition Springer-Ve
描述This monograph deals with various classes of deterministic and stochastic continuous time optimal control problems that are defined over unbounded time intervals. For these problems the performance criterion is described by an improper integral and it is possible that, when evaluated at a given admissible element, this criterion is unbounded. To cope with this divergence new optimality concepts, referred to here as overtaking optimality, weakly overtaking optimality, agreeable plans, etc. , have been proposed. The motivation for studying these problems arises primarily from the economic and biological sciences where models of this type arise naturally. Indeed, any bound placed on the time hori- zon is artificial when one considers the evolution of the state of an economy or species. The responsibility for the introduction of this interesting class of problems rests with the economists who first studied them in the modeling of capital accumulation processes. Perhaps the earliest of these was F. Ramsey [152] who, in his seminal work on the theory of saving in 1928, considered a dynamic optimization model defined on an infinite time horizon. Briefly, this problem can be described as a
出版日期Book 1991Latest edition
關(guān)鍵詞Infinite Horizon; Kontrolltheorie; Overtaking Optimality; Stochastische Systeme; Unbegrenzter Zeithorizo
版次2
doihttps://doi.org/10.1007/978-3-642-76755-5
isbn_softcover978-3-642-76757-9
isbn_ebook978-3-642-76755-5
copyrightSpringer-Verlag Berlin Heidelberg 1991
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Extensions to Distributed Parameter Systems,fferential equations can be considered. That such generalizations are useful in economics is clear from the introduction of infinite dimensional models in the literature. Specifically we refer the reader to [63], [97], [104], and [107] for more precise descriptions of such models.
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avioral patterns. In this chapter, we focus on discovering behavioral rules of individual mobile phone users by taking into account multi-dimensional contexts—for example temporal, spatial, or social context. Association rule mining is the most prominent rule-based machine learning method for genera
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Dean A. Carlson,Alain B. Haurie,Arie Leizarowitzof communities and social interactions and relations within a particular context or location. Ubiquitous mobile computing allows users to engage in activities in diverse physical locations, to access resources specific to the location, and to communicate directly or indirectly with others. Mobile te
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