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Titlebook: Risk Management in Stochastic Integer Programming; With Application to Frederike Neise Book 2008 Vieweg+Teubner Verlag | Springer Fachmedi

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書目名稱Risk Management in Stochastic Integer Programming
副標題With Application to
編輯Frederike Neise
視頻videohttp://file.papertrans.cn/831/830691/830691.mp4
圖書封面Titlebook: Risk Management in Stochastic Integer Programming; With Application to  Frederike Neise Book 2008 Vieweg+Teubner Verlag | Springer Fachmedi
描述I am deeply grateful to my advisor Prof. Dr. Rüdiger Schultz for his untiring - couragement. Moreover, I would like to express my gratitude to Prof. Dr. -Ing. - mund Handschin and Dr. -Ing. Hendrik Neumann from the University of Dortmund for inspiration and support. I would like to thank PD Dr. René Henrion from the Weierstrass Institute for Applied Analysis and Stochastics in Berlin for reviewing this thesis. Cordial thanks to my colleagues at the University of Duisburg-Essen for motivating and fruitful discussions as well as a pleasurable cooperation. Contents 1 Introduction 1 1. 1 Stochastic Optimization. . . . . . . . . . . . . . . . . . . . . . . 3 1. 1. 1 The two-stage stochastic optimization problem . . . . . . 3 1. 1. 2 Expectation-based formulation. . . . . . . . . . . . . . . 5 1. 2 Content and Structure. . . . . . . . . . . . . . . . . . . . . . . . 6 2 RiskMeasuresinTwo-StageStochasticPrograms 9 2. 1 Risk Measures. . . . . . . . . . . . . . . . . . . . . . . . . . . . 9 2. 1. 1 Deviation measures. . . . . . . . . . . . . . . . . . . . . 10 2. 1. 2 Quantile-based risk measures . . . . . . . . . . . . . . . 11 2. 2 Mean-Risk Models . . . . . . . . . . . . . . . . . . . .
出版日期Book 2008
關(guān)鍵詞Dezentrale Energieumwandlungsanlagen; Gemischt-Ganzzahlige Programmierung; Mathematik; Mean-Risk Modell
版次1
doihttps://doi.org/10.1007/978-3-8348-9536-3
isbn_softcover978-3-8348-0547-8
isbn_ebook978-3-8348-9536-3
copyrightVieweg+Teubner Verlag | Springer Fachmedien Wiesbaden GmbH, Wiesbaden 2008
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The viscoelastic or energy dissipation properties are a result of fluid flow within and through the structures and also of molecular relaxation effects from the motion of long chains of collagen and proteoglycans [3]. Anisotropy is a consequence of the orientation and concentration of collagen fiber
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nTwo-StageStochasticPrograms 9 2. 1 Risk Measures. . . . . . . . . . . . . . . . . . . . . . . . . . . . 9 2. 1. 1 Deviation measures. . . . . . . . . . . . . . . . . . . . . 10 2. 1. 2 Quantile-based risk measures . . . . . . . . . . . . . . . 11 2. 2 Mean-Risk Models . . . . . . . . . . . . . . . . . . . . 978-3-8348-0547-8978-3-8348-9536-3
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