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POD basis interpolation via Inverse Distance Weighting on Grassmann manifolds

Authors :
Cyrille Allery
Abdallah El Hamidi
Rolando Mosquera
Aziz Hamdouni
Laboratoire des Sciences de l'Ingénieur pour l'Environnement - UMR 7356 (LaSIE)
Université de La Rochelle (ULR)-Centre National de la Recherche Scientifique (CNRS)
Laboratoire des Sciences de l'Ingénieur pour l'Environnement (LaSIE)
Laboratoire d'Étude des Phénomènes de Transfert et de l'Instantanéité : Agro-industrie et Bâtiment (LEPTIAB)
Université de La Rochelle (ULR)
Source :
Discrete and Continuous Dynamical Systems-Series S, Discrete and Continuous Dynamical Systems-Series S, American Institute of Mathematical Sciences, 2019, 12 (6), pp.1743-1759. ⟨10.3934/dcdss.2019115⟩
Publication Year :
2019
Publisher :
HAL CCSD, 2019.

Abstract

An adaptation of the Inverse Distance Weighting (IDW) method to the Grassmann manifold is carried out for interpolation of parametric POD bases. Our approach does not depend on the choice of a reference point on the Grassmann manifold to perform the interpolation, moreover our results are more accurate than those obtained in [ 7 ]. In return, our approach is not direct but iterative and its relevance depends on the choice of the weighting functions which are inversely proportional to the distance to the parameter. More judicious choices of such weighting functions can be carried out via kriging technics [ 23 ], this is the subject of a work in progress.

Details

Language :
English
ISSN :
19371632 and 19371179
Database :
OpenAIRE
Journal :
Discrete and Continuous Dynamical Systems-Series S, Discrete and Continuous Dynamical Systems-Series S, American Institute of Mathematical Sciences, 2019, 12 (6), pp.1743-1759. ⟨10.3934/dcdss.2019115⟩
Accession number :
edsair.doi.dedup.....bd8fa777a4d62bb901e4487e3cf23af3
Full Text :
https://doi.org/10.3934/dcdss.2019115⟩