| 書目名稱 | Optimal Decisions Under Uncertainty | | 副標(biāo)題 | Methods, Models, and | | 編輯 | Jati K. Sengupta | | 視頻video | http://file.papertrans.cn/703/702854/702854.mp4 | | 叢書名稱 | Universitext | | 圖書封面 |  | | 描述 | Understanding the stochastic enviornment is as much important to the manager as to the economist. From production and marketing to financial management, a manager has to assess various costs imposed by uncertainty. The economist analyzes the role of incomplete and too often imperfect information structures on the optimal decisions made by a firm. The need for understanding the role of uncertainty in quantitative decision models, both in economics and management science provide the basic motivation of this monograph. The stochastic environment is analyzed here in terms of the following specific models of optimization: linear and quadratic models, linear programming, control theory and dynamic programming. Uncertainty is introduced here through the para- meters, the constraints, and the objective function and its impact evaluated. Specifically recent developments in applied research are emphasized, so that they can help the decision-maker arrive at a solution which has some desirable charac- teristics like robustness, stability and cautiousness. Mathematical treatment is kept at a fairly elementary level and applied as- pects are emphasized much more than theory. Moreover, an attempt | | 出版日期 | Textbook 1985 | | 關(guān)鍵詞 | Decisions; Uncertainty; linear optimization; operations research; optimization; scheduling | | 版次 | 1 | | doi | https://doi.org/10.1007/978-3-642-70163-4 | | isbn_softcover | 978-3-540-15032-9 | | isbn_ebook | 978-3-642-70163-4Series ISSN 0172-5939 Series E-ISSN 2191-6675 | | issn_series | 0172-5939 | | copyright | Springer-Verlag Berlin Heidelberg 1985 |
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