A Cholesky-Based SGM-MLFMM for Stochastic Full-Wave Problems Described by Correlated Random Variables

A Cholesky-Based SGM-MLFMM for Stochastic Full-Wave Problems Described by Correlated Random Variables

In this letter, the multilevel fast multipole method (MLFMM) is combined with the polynomial chaos expansion (PCE)-based stochastic Galerkin method (SGM) to stochastically model scatterers with geometrical variations that need to be described by a set of correlated random variables (RVs). It is demo...

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Bibliografische gegevens
Hoofdauteurs:	Zubac, Zdravko, De Zutter, Daniel, Vande Ginste, Dries, Daniel, Luca
Andere auteurs:	Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
Formaat:	Artikel
Taal:	en_US
Gepubliceerd in:	Institute of Electrical and Electronics Engineers (IEEE) 2017
Online toegang:	http://hdl.handle.net/1721.1/110827 https://orcid.org/0000-0002-5880-3151

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