A New Method for Deriving Robust and Globalized Robust Solutions of Uncertain Linear Conic Optimization Problems Having General Convex Uncertainty Sets
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- Type
- article
- Published
- 2012-09-19
- Cited by
- 7
- References
- 21
- Access
- Open access
- OpenAlex
- https://openalex.org/W197652385
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:116923268
Keywords
Conic optimization, Conic section, Robust optimization, Mathematical optimization, Mathematics
References
- The role of perspective functions in convexity, polyconvexity, rank-one convexity and separate convexity
- Robust Solutions of Optimization Problems Affected by Uncertain Probabilities
- Theory and Applications of Robust Optimization
- On Markov Chains with Uncertain Data
- Technical Note - Convex Programming with Set-Inclusive Constraints and Applications to Inexact Linear Programming
- Duality in inexact fractional programming with set-inclusive constraints
- Robust solutions of uncertain linear programs
- The relaxation method of finding the common point of convex sets and its application to the solution of problems in convex programming
- Extending Scope of Robust Optimization: Comprehensive Robust Counterparts of Uncertain Problems
- On the notion of affinity of several distributions and some of its applications
- Robust Solutions to Least-Squares Problems with Uncertain Data
- Convex programming with set-inclusive constraints and its applications to generalized linear and fractional programming
- Duality in robust optimization: Primal worst equals dual best
- Clustering with Bregman Divergences
- Deriving robust counterparts of nonlinear uncertain inequalities
- Technical Note - A Duality Theory for Convex Programming with Set-Inclusive Constraints
- Convex Programming with Set-Inclusive Constraints and Applications to Inexact Linear Programming
- Linear Programming and Extensions
- Feedback stabilization initiative
- Linear Programming and Extensions
Cited by
- Task assignment under uncertainty: stochastic programming and robust optimisation approaches
- Multistage Adjustable Robust Mixed-Integer Optimization via Iterative Splitting of the Uncertainty Set
- Recent advances in robust optimization: An overview
- Robust optimization methods for chance constrained, simulation-based, and bilevel problems
- A Dynamic Programming Approach for a Class of Robust Optimization Problems
- A survey of robust optimization based machine learning with special reference to support vector machines
- Assessing the robustness of steering decisions to the uncertainty of roaming traffic forecasts
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