Norm induced polyhedral uncertainty sets for robust linear optimization

DOI10.1007/s11081-021-09659-3OpenAlexW3183136893MaRDI QIDQ2101644

Said Rahal, Zukui Li

Publication date: 6 December 2022

Published in: Optimization and Engineering (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s11081-021-09659-3

zbMATH Keywords

polyhedral normuncertainty setrobust linear optimizationsymmetric and asymmetric set

Mathematics Subject Classification ID

Linear programming (90C05) Robustness in mathematical programming (90C17)

Related Items (1)

Methodology and applications of robust optimization

Cites Work

• Unnamed Item
• Unnamed Item
• Two pairs of families of polyhedral norms versus \(\ell _p\)-norms: proximity and applications in optimization
• Robust linear optimization under general norms.
• Adjustable robust solutions of uncertain linear programs
• Robust solutions of linear programming problems contaminated with uncertain data
• A survey of adjustable robust optimization
• A Robust Optimization Perspective on Stochastic Programming
• The Price of Robustness
• Linear Matrix Inequalities in System and Control Theory
• Robust Solutions of Uncertain Quadratic and Conic-Quadratic Problems
• Technical Note—Convex Programming with Set-Inclusive Constraints and Applications to Inexact Linear Programming

This page was built for publication: Norm induced polyhedral uncertainty sets for robust linear optimization