Risk-Averse Optimization and Control Theory and Methods /

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 only the average performance of a stochastic...

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Autori principali: Dentcheva, Darinka (Autore), Ruszczyński, Andrzej (Autore)
Ente Autore: SpringerLink (Online service)
Natura: Elettronico eBook
Lingua:inglese
Pubblicazione: Cham : Springer Nature Switzerland : Imprint: Springer, 2024.
Edizione:1st ed. 2024.
Serie:Springer Series in Operations Research and Financial Engineering,
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Accesso online:https://doi.org/10.1007/978-3-031-57988-2
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Sommario:
  • Elements of the Utility Theory
  • Measures of Risk
  • Optimization of Measures of Risk
  • Dynamic Risk Optimization
  • Optimization with Stochastic Dominance Constraints
  • Multivariate and Sequential Stochastic Orders
  • Numerical Methods for Problems with Stochastic Dominance Constraints
  • Risk-Averse Control of Markov Systems.