Optimization Under Stochastic Uncertainty
Kurt Marti ()
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Kurt Marti: University of Bundeswehr Munich
in International Series in Operations Research and Management Science from Springer, currently edited by Camille C. Price, Joe Zhu and Frederick S. Hillier
Date: 2020
ISBN: 978-3-030-55662-4
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Chapters in this book:
- Ch Chapter 1 Optimal Control Under Stochastic Uncertainty
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- Ch Chapter 10 Special Random Search Methods
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- Ch Chapter 11 Accessibility Theorems
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- Ch Chapter 12 Convergence Theorems
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- Ch Chapter 13 Convergence of Stationary Random Search Methods for Positive Success Probability
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- Ch Chapter 14 Random Search Methods of Convergence Order O(n −α)
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- Ch Chapter 15 Random Search Methods with a Linear Rate of Convergence
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- Ch Chapter 16 Success/Failure-Driven Random Direction Procedures
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- Ch Chapter 17 Hybrid Methods
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- Ch Chapter 18 Solving Optimization Problems Under Stochastic Uncertainty by Random Search Methods (RSM)
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- Ch Chapter 2 Stochastic Optimization of Regulators
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- Ch Chapter 3 Optimal Open-Loop Control of Dynamic Systems Under Stochastic Uncertainty
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- Ch Chapter 4 Construction of Feedback Control by Means of Homotopy Methods
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- Ch Chapter 5 Constructions of Limit State Functions
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- Ch Chapter 6 Random Search Procedures for Global Optimization
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- Ch Chapter 7 Controlled Random Search Under Uncertainty
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- Ch Chapter 8 Controlled Random Search Procedures for Global Optimization
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- Ch Chapter 9 Mathematical Model of Random Search Methods and Elementary Properties
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Persistent link: https://EconPapers.repec.org/RePEc:spr:isorms:978-3-030-55662-4
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DOI: 10.1007/978-3-030-55662-4
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