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Titlebook: Risk-Averse Optimization and Control; Theory and Methods Darinka Dentcheva,Andrzej Ruszczyński Book 2024 The Editor(s) (if applicable) and

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樓主: Julienne
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發(fā)表于 2025-3-23 13:13:31 | 只看該作者
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發(fā)表于 2025-3-23 14:26:30 | 只看該作者
1431-8598 f measures of risk.Many examples included.This book offers a comprehensive presentation of the theory and methods of risk-averse optimization and control. Problems of this type arise in finance, energy production and distribution, supply chain management, medicine, and many other areas, where not on
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發(fā)表于 2025-3-23 21:38:50 | 只看該作者
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發(fā)表于 2025-3-23 23:22:43 | 只看該作者
Measures of Risk,directly defining its numerical representation. In this chapter, and in large portions of this book, we shall be concerned with a special class of numerical representations of preferences that we call convex or coherent measures of risk.
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發(fā)表于 2025-3-24 06:13:29 | 只看該作者
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發(fā)表于 2025-3-24 07:00:24 | 只看該作者
Optimization with Stochastic Dominance Constraints,lso called stochastic orderings), which express preferences among univariate random outcomes, random vectors, sequences, or processes. A large body of literature is dedicated to their properties and relations among them. We focus on the most popular orders, which are suitable to model risk-averse pr
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發(fā)表于 2025-3-24 13:27:14 | 只看該作者
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發(fā)表于 2025-3-24 22:42:38 | 只看該作者
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發(fā)表于 2025-3-24 23:36:02 | 只看該作者
Measures of Risk,directly defining its numerical representation. In this chapter, and in large portions of this book, we shall be concerned with a special class of numerical representations of preferences that we call convex or coherent measures of risk.
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