Since its origins in the 1940s, the subject of decision making under uncertainty has grown into a diversified area with application in several branches of engineering and in those areas of the social sciences concerned with policy analysis and prescription. These approaches required a computing capacity too expensive for the time, until the ability to collect and process huge quantities of data engendered an explosion of work in the area. This book provides:* Succinct and rigorous treatment of the foundations of stochastic ...
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Since its origins in the 1940s, the subject of decision making under uncertainty has grown into a diversified area with application in several branches of engineering and in those areas of the social sciences concerned with policy analysis and prescription. These approaches required a computing capacity too expensive for the time, until the ability to collect and process huge quantities of data engendered an explosion of work in the area. This book provides:* Succinct and rigorous treatment of the foundations of stochastic control.* A unified approach to filtering, estimation, prediction, and stochastic and adaptive cools* The conceptual framework necessary to understand current trends in stochastic control, data mining, machine learning, and robotics.
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Publisher:
Society for Industrial & Applied Mathematics,U.S.
Published:
2015
Alibris ID:
17711556174
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Fine. Trade paperback (US). 375 p. Classics in Applied Mathematics. , 75. Intended for college/higher education audience. Intended for professional and scholarly audience. In Stock. 100% Money Back Guarantee. Brand New, Perfect Condition, allow 4-14 business days for standard shipping. To Alaska, Hawaii, U.S. protectorate, P.O. box, and APO/FPO addresses allow 4-28 business days for Standard shipping. No expedited shipping. All orders placed with expedited shipping will be cancelled. Over 3, 000, 000 happy customers.
