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Titlebook: Duality in Stochastic Linear and Dynamic Programming; Willem K. Klein Haneveld Book 1986 Springer-Verlag Berlin Heidelberg 1986 dynamic pr

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书目名称Duality in Stochastic Linear and Dynamic Programming
编辑Willem K. Klein Haneveld
视频video
丛书名称Lecture Notes in Economics and Mathematical Systems
图书封面Titlebook: Duality in Stochastic Linear and Dynamic Programming;  Willem K. Klein Haneveld Book 1986 Springer-Verlag Berlin Heidelberg 1986 dynamic pr
出版日期Book 1986
关键词dynamic programming; linear optimization; mathematical programming; optimization
版次1
doihttps://doi.org/10.1007/978-3-642-51697-9
isbn_softcover978-3-540-16793-8
isbn_ebook978-3-642-51697-9Series ISSN 0075-8442 Series E-ISSN 2196-9957
issn_series 0075-8442
copyrightSpringer-Verlag Berlin Heidelberg 1986
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书目名称Duality in Stochastic Linear and Dynamic Programming影响因子(影响力)




书目名称Duality in Stochastic Linear and Dynamic Programming影响因子(影响力)学科排名




书目名称Duality in Stochastic Linear and Dynamic Programming网络公开度




书目名称Duality in Stochastic Linear and Dynamic Programming网络公开度学科排名




书目名称Duality in Stochastic Linear and Dynamic Programming被引频次




书目名称Duality in Stochastic Linear and Dynamic Programming被引频次学科排名




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书目名称Duality in Stochastic Linear and Dynamic Programming年度引用学科排名




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书目名称Duality in Stochastic Linear and Dynamic Programming读者反馈学科排名




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978-3-540-16793-8Springer-Verlag Berlin Heidelberg 1986
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Rock, with random parameters. The probability distribution of these parameters represents the uncertainty of the model builder with respect to their precise values. The backgrounds of SLP models and SDP models are quite distinct.
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Aspect Ratio Universal Rectangular Layoutsixed feasible set .... The function f to be minimized depends not only on T but also on the unknown realization of an n-dimensional random vector ξ. For that reason the expected value of f is chosen as the objective function. However, the distribution function H of ξ is not completely known to the d
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Introduction and Summary, with random parameters. The probability distribution of these parameters represents the uncertainty of the model builder with respect to their precise values. The backgrounds of SLP models and SDP models are quite distinct.
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