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Construction of multivariate polynomial approximation kernels via semidefinite programming

Authors :
Kirschner, Felix
de Klerk, Etienne
Source :
SIAM Journal on Optimization, Vol. 33, Iss. 2 (2023) 513-537
Publication Year :
2022

Abstract

In this paper we construct a hierarchy of multivariate polynomial approximation kernels via semidefinite programming. We give details on the implementation of the semidefinite programs defining the kernels. Finally, we show how a symmetry reduction may be performed to increase numerical tractability.

Details

Database :
arXiv
Journal :
SIAM Journal on Optimization, Vol. 33, Iss. 2 (2023) 513-537
Publication Type :
Report
Accession number :
edsarx.2203.05892
Document Type :
Working Paper