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A characterization of ill-posed data instances for convex programming
Authors:Manuel A Nunez
Institution:(1) Department of Operations and Information Management, University of Connecticut, 368 Fairfield Road, U-411M, Storrs, CT 06066, USA, e-mail: mnunez@sba.uconn.edu, US
Abstract:Given a data instance of a convex program, we provide a collection of conic linear systems such that the data instance is ill-posed if and only if at least one of those systems is satisfied. This collection of conic linear systems is derived from a characterization of the boundary of the set of primal and dual feasible data instances associated with the given convex program. Received: September 1998 / Accepted: August 2000?Published online October 26, 2001
Keywords:: convex programming –  perturbation of convex programs –  linear conic systems –  theorems of the alternative –  ill-posed          problems –  condition numbers
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