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Extended Active Constraints in Linear Optimization with Applications

In this paper we introduce different relaxations of the concept of active constraint at a given point with respect to a certain linear inequality system with an arbitrary number of constraints. We show that these concepts provide useful local information in linear optimization, for instance conditions for a given feasible solution to be a unique, extreme point, optimal solution or a strongly unique optimal solution.