Optimization of Polynomials with Sparsity Encoded in a Few Linear Forms - LAAS - Laboratoire d'Analyse et d'Architecture des Systèmes
Communication Dans Un Congrès Année : 2022

Optimization of Polynomials with Sparsity Encoded in a Few Linear Forms

Résumé

We consider polynomials of a few linear forms and show how exploit this type of sparsity for optimization on some particular domains like the Euclidean sphere or a polytope. Moreover, a simple procedure allows to detect this form of sparsity and also allows to provide an approximation of any polynomial by such sparse polynomials.
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Dates et versions

hal-03628891 , version 1 (03-04-2022)

Identifiants

Citer

Jean-Bernard Lasserre. Optimization of Polynomials with Sparsity Encoded in a Few Linear Forms. 25th International Symposium on Mathematical Theory of Networks and Systems (MTNS 2022), Sep 2022, Beyreuth, Germany. pp.383-387. ⟨hal-03628891⟩
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