1999
DOI: 10.1006/jath.1997.3243
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Abadie's Constraint Qualification, Hoffman's Error Bounds, and Hausdorff Strong Unicity

Abstract: The main goal of this paper is to show the connection between optimization and best approximation when studying 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. Academic Press

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Cited by 2 publications
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“…It is known ( [3], Corollary (15)) that when Bf is strongly unique R n is the convex cone generated by…”
Section: Remark 14mentioning
confidence: 98%
“…It is known ( [3], Corollary (15)) that when Bf is strongly unique R n is the convex cone generated by…”
Section: Remark 14mentioning
confidence: 98%