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Dynamic Stochastic Optimization (Lecture Notes in Economics and Mathematical Systems) 在线电子书 pdf 下载 txt下载 epub 下载 mobi 下载 2024

Dynamic Stochastic Optimization (Lecture Notes in Economics and Mathematical Systems)
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简体网页||繁体网页
Marti, Kurt; Ermoliev, Yuri; Pflug, Georg 作者
Springer
译者
2004-01-12 出版日期
348 页数
USD 99.00 价格
Paperback
丛书系列
9783540405061 图书编码

Dynamic Stochastic Optimization (Lecture Notes in Economics and Mathematical Systems) 在线电子书 图书标签: 数理经济学  Optimization   

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Dynamic Stochastic Optimization (Lecture Notes in Economics and Mathematical Systems) 在线电子书 epub 下载 mobi 下载 pdf 下载 txt 下载 2024

Dynamic Stochastic Optimization (Lecture Notes in Economics and Mathematical Systems) 在线电子书 epub 下载 mobi 下载 pdf 下载 txt 下载 2024

Dynamic Stochastic Optimization (Lecture Notes in Economics and Mathematical Systems) 在线电子书 pdf 下载 txt下载 epub 下载 mobi 下载 2024


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Dynamic Stochastic Optimization (Lecture Notes in Economics and Mathematical Systems) 在线电子书 图书描述

Uncertainties and changes are pervasive characteristics of modern systems involving interactions between humans, economics, nature and technology. These systems are often too complex to allow for precise evaluations and, as a result, the lack of proper management (control) may create significant risks. In order to develop robust strategies we need approaches which explic itly deal with uncertainties, risks and changing conditions. One rather general approach is to characterize (explicitly or implicitly) uncertainties by objec tive or subjective probabilities (measures of confidence or belief). This leads us to stochastic optimization problems which can rarely be solved by using the standard deterministic optimization and optimal control methods. In the stochastic optimization the accent is on problems with a large number of deci sion and random variables, and consequently the focus ofattention is directed to efficient solution procedures rather than to (analytical) closed-form solu tions. Objective and constraint functions of dynamic stochastic optimization problems have the form of multidimensional integrals of rather involved in that may have a nonsmooth and even discontinuous character - the tegrands typical situation for "hit-or-miss" type of decision making problems involving irreversibility ofdecisions or/and abrupt changes ofthe system. In general, the exact evaluation of such functions (as is assumed in the standard optimization and control theory) is practically impossible. Also, the problem does not often possess the separability properties that allow to derive the standard in control theory recursive (Bellman) equations.

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