On infeasibility of systems of convex analytic inequalities
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Publication:1295897
DOI10.1006/jmaa.1999.6357zbMath1016.90033OpenAlexW1982333332MaRDI QIDQ1295897
Publication date: 5 October 1999
Published in: Journal of Mathematical Analysis and Applications (Search for Journal in Brave)
Full work available at URL: https://semanticscholar.org/paper/fafb87e80ab35efddaf7a555674ea01a3a8eb1b0
perturbationconvex programmingirreducible infeasible setsconvex analytic inequality constraintskilling constraints
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Feasibility in reverse convex mixed-integer programming, Irreducible infeasible sets in convex mixed-integer programs, Automatic repair of convex optimization problems, Feasible partition problem in reverse convex and convex mixed-integer programming, Minimal infeasible constraint sets in convex integer programs
Cites Work
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- Numerical decomposition of a convex function
- A degenerate extreme point strategy for the classification of linear constraints as redundant or necessary
- Method of reduction in convex programming
- Quadratically constrained convex quadratic programmes: Faculty feasible regions
- Infeasibility analysis for systems of quadratic convex inequalities
- Some results concerning post-infeasibility analysis
- Some perturbation theory for linear programming
- Minimal representation of convex regions defined by analytic functions
- Minimal representation of quadratically constrained convex feasible regions
- Analyzing infeasible nonlinear programs
- Some characterizations and properties of the ``distance to the ill-posedness and the condition measure of a conic linear system
- Identifying Redundant Constraints and Implicit Equalities in Systems of Linear Constraints
- An Algorithm for Convex Quadratic Programming That Requires O(n3.5L) Arithmetic Operations
- A Logarithmic Barrier Function Algorithm for Quadratically Constrained Convex Quadratic Programming
- A Large-Step Analytic Center Method for a Class of Smooth Convex Programming Problems
- Locating Minimal Infeasible Constraint Sets in Linear Programs