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{ "item_title" : "Decision Making Under Uncertainty", "item_author" : [" Claude Greengard", "Andrzej Ruszczynski "], "item_description" : "The volume contains articles on model problems of decision making process in the energy and power industry when the available information is noisy and/or incomplete. The major tools used in studying these problems are mathematical modeling and optimization techniques; especially stochastic optimization. These articles are meant to provide an insight into this rapidly developing field, which lies in the intersection of applied statistics, probability, operations research, and economic theory. It is hoped that the present volume will provide entry to newcomers into the field, and stimulation for further research.", "item_img_path" : "https://covers2.booksamillion.com/covers/bam/1/44/193/014/1441930140_b.jpg", "price_data" : { "retail_price" : "109.99", "online_price" : "109.99", "our_price" : "109.99", "club_price" : "109.99", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }
Decision Making Under Uncertainty|Claude Greengard

Decision Making Under Uncertainty : Energy and Power

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Overview

The volume contains articles on model problems of decision making process in the energy and power industry when the available information is noisy and/or incomplete. The major tools used in studying these problems are mathematical modeling and optimization techniques; especially stochastic optimization. These articles are meant to provide an insight into this rapidly developing field, which lies in the intersection of applied statistics, probability, operations research, and economic theory. It is hoped that the present volume will provide entry to newcomers into the field, and stimulation for further research.

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Details

  • ISBN-13: 9781441930149
  • ISBN-10: 1441930140
  • Publisher: Springer
  • Publish Date: December 2010
  • Dimensions: 9.21 x 6.14 x 0.38 inches
  • Shipping Weight: 0.56 pounds
  • Page Count: 164

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