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Dynamic management decision and stochastic control processes

Author: Toshio Odanaka
Publisher: Singapore ; Teaneck, NJ : World Scientific, ©1990.
Edition/Format:   eBook : Document : EnglishView all editions and formats
Summary:
This book treats stochastic control theory and its applications in management. The main numerical techniques necessary for such applications are presented. Several advanced topics leading to optimal processes are dismissed. The book also considers the theory of some stochastic control processes and several applications to illustrate the ideas.
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Genre/Form: Electronic books
Additional Physical Format: Print version:
Odanaka, Toshio, 1925-
Dynamic management decision and stochastic control processes.
Singapore ; Teaneck, NJ : World Scientific, ©1990
(DLC) 89048212
(OCoLC)20799816
Material Type: Document, Internet resource
Document Type: Internet Resource, Computer File
All Authors / Contributors: Toshio Odanaka
ISBN: 9789812832580 9812832580
OCLC Number: 841172126
Description: 1 online resource (xiii, 221 pages) : illustrations
Contents: Ch. I. Introduction --
ch. II. Derivation of Levinson's procedure in prediction theory by dynamic programming --
ch. III. Invariant imbedding and identification of aquifer parameters --
ch. IV: Information and decision in optimal inventory processes --
ch. V. Optimal inventory processes with a delay delivery --
ch. VI. Optimal capacity expansion of the system --
ch. VII. Optimal pumping policies for ground water --
ch. VIII. Stochastic control processes and management science --
ch. IX. Fuzzy control processes (I) --
ch. X. Adaptive control processes --
ch. XI. Fuzzy control processes (II) --
ch. XII. Stochastic bang-bang control processes --
ch. XIII. Control chart and stochastic control processes.
Responsibility: Toshio Odanaka.

Abstract:

This book treats stochastic control theory and its applications in management. The main numerical techniques necessary for such applications are presented. Several advanced topics leading to optimal processes are dismissed. The book also considers the theory of some stochastic control processes and several applications to illustrate the ideas.

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