Computing the Maximum Volume Inscribed Ellipsoid of a Polytopic Projection
From MaRDI portal
Publication:5131707
DOI10.1287/ijoc.2017.0763zbMath1446.90069OpenAlexW3122564693MaRDI QIDQ5131707
Publication date: 9 November 2020
Published in: INFORMS Journal on Computing (Search for Journal in Brave)
Full work available at URL: https://semanticscholar.org/paper/5827e64ceaa5f1bf5ca0125fde10a69f37ada803
Chebyshev centeradjustable robust optimizationFourier-Motzkin eliminationmaximum volume inscribed ellipsoidpolytopic projectionremoving redundant constraints
Approximation methods and heuristics in mathematical programming (90C59) Production models (90B30) Robustness in mathematical programming (90C17)
Related Items (5)
Disjoint Bilinear Optimization: A Two-Stage Robust Optimization Perspective ⋮ Robust Optimization for Models with Uncertain Second-Order Cone and Semidefinite Programming Constraints ⋮ Pareto adaptive robust optimality via a Fourier-Motzkin elimination lens ⋮ Maximizing perturbation radii for robust convex quadratically constrained quadratic programs ⋮ Probabilistic Guarantees in Robust Optimization
Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- On the power and limitations of affine policies in two-stage adaptive optimization
- On the performance of affine policies for two-stage adaptive optimization: a geometric perspective
- A degenerate extreme point strategy for the classification of linear constraints as redundant or necessary
- Finding robust solutions for product design problems
- Practical issues on the projection of polyhedral sets
- Adjustable robust solutions of uncertain linear programs
- Optimizing color picture tubes by high-cost nonlinear programming
- The Price of Robustness
This page was built for publication: Computing the Maximum Volume Inscribed Ellipsoid of a Polytopic Projection