Proving Strong Duality for Geometric Optimization Using a Conic Formulation |
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Authors: | François Glineur |
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Affiliation: | (1) Service de Mathématique et de Recherche Opérationnelle, Faculté Polytechnique de Mons, Rue de Houdain, 9, B-7000 Mons, Belgium |
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Abstract: | Geometric optimization1 is an important class of problems that has many applications, especially in engineering design. In this article, we provide new simplified proofs for the well-known associated duality theory, using conic optimization. After introducing suitable convex cones and studying their properties, we model geometric optimization problems with a conic formulation, which allows us to apply the powerful duality theory of conic optimization and derive the duality results valid for geometric optimization. |
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Keywords: | geometric optimization duality theory conic optimization |
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