A generalized Farkas lemma with a numerical certificate and linear semi-infinite programs with SDP duals
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Publication:501263
DOI10.1016/j.laa.2016.11.008zbMath1352.90060OpenAlexW2551542357WikidataQ124984360 ScholiaQ124984360MaRDI QIDQ501263
Thai Doan Chuong, Vaithilingam Jeyakumar
Publication date: 29 December 2016
Published in: Linear Algebra and its Applications (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.laa.2016.11.008
Semidefinite programming (90C22) Optimality conditions and duality in mathematical programming (90C46) Linear programming (90C05) Semi-infinite programming (90C34)
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Cites Work
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- Farkas' lemma: three decades of generalizations for mathematical optimization
- Characterizing robust local error bounds for linear inequality systems under data uncertainty
- Robust global error bounds for uncertain linear inequality systems with applications
- Recent contributions to linear semi-infinite optimization
- Some geometric results in semidefinite programming
- WHAT IS...a Spectrahedron?
- Graph Implementations for Nonsmooth Convex Programs
- Polytopes, Rings, and K-Theory
- Semidefinite Optimization and Convex Algebraic Geometry
- Comments on: ``Farkas' lemma: three decades of generalizations for mathematical optimization