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Robust optimization of uncertain multistage inventory systems with inexact data in decision rules

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Persistent link: https://www.econbiz.de/10011710326

Centered solutions for uncertain linear equations

Zhen, Jianzhe; Hertog, Dirk den - In: Computational Management Science : CMS 14 (2017) 4, pp. 585-610

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Optimization with constraint learning : a framework and survey

Fajemisin, Adejuyigbe O.; Maragno, Donato; Hertog, Dirk den - In: European journal of operational research : EJOR 314 (2024) 1, pp. 1-14

Persistent link: https://www.econbiz.de/10014456821

Efficient line searching for convex functions

Boef, Edgar den (contributor); Hertog, Dirk den (contributor) - 2004 - [Elektronische Ressource]

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Why methods for optimization problems with time-consuming function evaluations and integer variables should use global approximation models

Driessen, Lonneke; Brekelmans, Ruud; Gerichhausen, Marloes - 2006

Persistent link: https://www.econbiz.de/10003277659

Optimization of univariate functions on bounded intervals by interpolation and semidefinite programming

Klerk, Etienne de (contributor); Elabwabi, G. (contributor); … - 2006

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Enhancement of sandwich algorithms for approximating higher dimensional convex pareto sets

Rennen, Gijs; Dam, Edwin Robert van; Hertog, Dirk den - 2009

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Robust solutions of optimization problems affected by uncertain probabilities

Ben-Tal, Aharon; Hertog, Dirk den; De Waegenaere, Anja; … - 2011

Persistent link: https://www.econbiz.de/10009152559

Immunizing conic quadratic optimization problems against implementation errors

Ben-Tal, Aharon; Hertog, Dirk den - 2011

developed can be applied in robust linear optimization with jointly uncertain parameters and implementation errors, in …

Persistent link: https://www.econbiz.de/10009152560

Hidden convexity in partially separable optimization

Ben-Tal, Aharon; Hertog, Dirk den; Laurent, Monique - 2011

The paper identifies classes of nonconvex optimization problems whose convex relaxations have optimal solutions which … solve multi-stage robust optimization problems using certain nonlinear decision rules. convex relaxation of nonconvex … problems, hidden convexity, partially separable functions, robust optimization …

Persistent link: https://www.econbiz.de/10009156483