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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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書(shū)目名稱(chēng)Duality in Stochastic Linear and Dynamic Programming
編輯Willem K. Klein Haneveld
視頻videohttp://file.papertrans.cn/284/283327/283327.mp4
叢書(shū)名稱(chēng)Lecture Notes in Economics and Mathematical Systems
圖書(shū)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
關(guān)鍵詞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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書(shū)目名稱(chēng)Duality in Stochastic Linear and Dynamic Programming影響因子(影響力)




書(shū)目名稱(chēng)Duality in Stochastic Linear and Dynamic Programming影響因子(影響力)學(xué)科排名




書(shū)目名稱(chēng)Duality in Stochastic Linear and Dynamic Programming網(wǎng)絡(luò)公開(kāi)度




書(shū)目名稱(chēng)Duality in Stochastic Linear and Dynamic Programming網(wǎng)絡(luò)公開(kāi)度學(xué)科排名




書(shū)目名稱(chēng)Duality in Stochastic Linear and Dynamic Programming被引頻次




書(shū)目名稱(chēng)Duality in Stochastic Linear and Dynamic Programming被引頻次學(xué)科排名




書(shū)目名稱(chēng)Duality in Stochastic Linear and Dynamic Programming年度引用




書(shū)目名稱(chēng)Duality in Stochastic Linear and Dynamic Programming年度引用學(xué)科排名




書(shū)目名稱(chēng)Duality in Stochastic Linear and Dynamic Programming讀者反饋




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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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