DocumentCode
2610246
Title
A model reduction algorithm for solving multiple scattering problems using iterative methods
Author
Vion, A. ; Sabariego, R.V. ; Geuzaine, C.
Author_Institution
Dept. of Electr. Eng. & Comput. Sci., Univ. of Liege, Liège, Belgium
fYear
2010
fDate
9-12 May 2010
Firstpage
1
Lastpage
1
Abstract
This paper presents a new method for solving scattering problems by multiple objects. A model reduction algorithm based on the Macro Basis Functions (MBFs) method is used to find an approximate solution within a subspace of solutions, that are the solutions of several single scattering subproblems. Different iterative methods for the generation of the MBFs are compared. The whole process relies on a finite element approach and is applied to convex obstacles scattering.
Keywords
electromagnetic wave scattering; finite element analysis; iterative methods; MBF method; convex obstacles scattering; finite element approach; iterative methods; macro basis functions method; model reduction algorithm; multiple scattering problems; Computer science; Finite element methods; Gaussian approximation; Iterative algorithms; Iterative methods; Jacobian matrices; Microstrip antennas; Reduced order systems; Scattering; Transmission line matrix methods;
fLanguage
English
Publisher
ieee
Conference_Titel
Electromagnetic Field Computation (CEFC), 2010 14th Biennial IEEE Conference on
Conference_Location
Chicago, IL
Print_ISBN
978-1-4244-7059-4
Type
conf
DOI
10.1109/CEFC.2010.5481483
Filename
5481483
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