Proving Strong Duality for Geometric Optimization Using a Conic Formulation

Proving Strong Duality for Geometric Optimization Using a Conic Formulation (1999)

by François Glineur

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4 - 1 self

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Datum	Value	Source
TITLE	Proving Strong Duality for Geometric Optimization Using a Conic Formulation	user correction - Legacy Corrections
AUTHOR NAME	François Glineur	user correction - Legacy Corrections
ABSTRACT	Geometric optimization 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.	user correction - Legacy Corrections
YEAR	1999	user correction - Legacy Corrections
CITATIONS	11 found	ParsCit 1.0