Titlebook: Optimal Control of Discrete Time Stochastic Systems; Charlotte Striebel Book 1975 Springer-Verlag Berlin · Heidelberg 1975 Control

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書目名稱Optimal Control of Discrete Time Stochastic Systems影響因子(影響力)




書目名稱Optimal Control of Discrete Time Stochastic Systems影響因子(影響力)學科排名




書目名稱Optimal Control of Discrete Time Stochastic Systems網(wǎng)絡(luò)公開度




書目名稱Optimal Control of Discrete Time Stochastic Systems網(wǎng)絡(luò)公開度學科排名




書目名稱Optimal Control of Discrete Time Stochastic Systems被引頻次




書目名稱Optimal Control of Discrete Time Stochastic Systems被引頻次學科排名




書目名稱Optimal Control of Discrete Time Stochastic Systems年度引用




書目名稱Optimal Control of Discrete Time Stochastic Systems年度引用學科排名




書目名稱Optimal Control of Discrete Time Stochastic Systems讀者反饋




書目名稱Optimal Control of Discrete Time Stochastic Systems讀者反饋學科排名

Mettle

Charlotte Striebelsupport, and not necessarily to automate, predictable and formal structures of business processes, as well as the coping with unanticipated contingencies, dynamic change and breakdowns, to achieve the final objective of . On this background, the limitations of procedure processing applications becom

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business processes. For this aim, first of all the customer related credit processes have been analysed using the method here developed. It is based on the customer/supplier model. Thus the credit management process was the target for a workflow-based reporting system. The system copes with events i

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Lecture Notes in Economics and Mathematical Systemshttp://image.papertrans.cn/o/image/702825.jpg

費解

Introduction and Formulation of the Model, of terminology and notation, is that of engineering applications; and second is the area of sequential statistical decision theory. Though, in their most general formulations, the models used in the two areas are equivalent, the motivation and emphasis is often quite different.

珍奇

Estimation,tatistics. The present chapter is devoted to computation of stochastic kernels G.(z., u.; A), the ., and K.(z., u.; B) the ., which represent these conditional distributions in the folio-wing sense: . and . for ., and all control laws {u}.

hieroglyphic

Statistics Sufficient for Control,ploiting certain aspects of the loss function. The intention in defining a “sufficient” statistic is to reduce the amount of data to be used in computing an optimal control problem. Unless a sufficient statistic of few dimensions can be found, it is virtually impossible to solve the control problem in any practical sense.

BOGUS

978-3-540-07181-5Springer-Verlag Berlin · Heidelberg 1975

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