Abadie's constraint qualification, Hoffman's error bounds, and Hausdorff strong unicity
The main goal of the paper under review is to present some connections between optimization and best approximation for vector-valued functions defined on a finite set. For example, Hausdorff strong unicity for best approximation is shown to be equivalent to Abadie's constraint qualification for the associated convex quadratic feasibility problem.
Hausdorff strong unicity for best approximation
scientific article; zbMATH DE number 1286393
scientific article