Characterizations of inner product spaces
Characterizations of inner product spaces
Proceedings of the international seminar on Approximation and optimization
Journal of Approximation Theory
Mobile facility location (extended abstract)
DIALM '00 Proceedings of the 4th international workshop on Discrete algorithms and methods for mobile computing and communications
Mathematical and Computer Modelling: An International Journal
Regularized robust optimization: the optimal portfolio execution case
Computational Optimization and Applications
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Given a bounded set A, a Chebyshev center (when it exists) is---in some sense---a candidate to give a global information on the set. Finding the centers of A is of great importance for applications. In many cases, it is very important to understand how they change when the set A is perturbed. Our main result is a new characterization of Hilbert spaces: in fact, we will show that the best estimate we can give in these spaces, concerning perturbations of sets, cannot be expected outside this class of spaces. Moreover, we collect, we partly sharpen and we reprove in a simple way most known results.