Removing redundant quadratic constraints

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Abstract

Determining whether an ellipsoid contains the intersection of many concentric ellipsoids is an NP-hard problem. In this paper, we study various convex relaxations of this problem, namely two semidefinite relaxations and a second-order cone relaxation. We establish some links between these relaxations and perform extensive numerical testings to verify their exactness, their computational load and their stability. As an application of this problem, we study an issue emerging from an aircraft wing design problem: how can we simplify the description of a feasible loads region? © 2010 Springer-Verlag.

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APA

Adjiashvili, D., Baes, M., & Rostalski, P. (2010). Removing redundant quadratic constraints. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 6327 LNCS, pp. 270–281). https://doi.org/10.1007/978-3-642-15582-6_46

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