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Article Dans Une Revue Mathematical Programming Année : 2010

Critical angles in polyhedral convex cones: numerical and statistical considerations

Résumé

This work concerns the numerical computation of critical angles in polyhedral convex cones. The set of proper critical angles is evaluated explicitly by solving a series of generalized eigenvalue problems involving the generators of the cone. The local maximal angles are identified by using a necessary condition for local maximality. The expected numbers of critical angles in random polyhedral convex cones are estimated experimentally.
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hal-01510046 , version 1 (18-04-2017)

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  • HAL Id : hal-01510046 , version 1

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Daniel Gourion, Alberto Seeger. Critical angles in polyhedral convex cones: numerical and statistical considerations. Mathematical Programming, 2010, 123 (1), pp.173-198. ⟨hal-01510046⟩
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