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research article

A Computational Comparison Between Isogeometric Analysis and Spectral Element Methods: Accuracy and Spectral Properties

Gervasio, Paola
•
Dede, Luca
•
Chanon, Ondine  
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April 1, 2020
Journal Of Scientific Computing

In this paper, we carry out a systematic comparison between the theoretical properties of Spectral Element Methods and NURBS-based Isogeometric Analysis in its basic form, that is in the framework of the Galerkin method, for the approximation of the Poisson problem, which we select as a benchmark Partial Differential Equation. Our focus is on their convergence properties, the algebraic structure and the spectral properties of the corresponding discrete arrays (mass and stiffness matrices). We review the available theoretical results for these methods and verify them numerically by performing an error analysis on the solution of the Poisson problem. Where theory is lacking, we use numerical investigation of the results to draw conjectures on the behaviour of the corresponding theoretical laws in terms of the design parameters, such as the (mesh) element size, the local polynomial degree, the smoothness of the NURBS basis functions, the space dimension, and the total number of degrees of freedom involved in the computations.

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Type
research article
DOI
10.1007/s10915-020-01204-1
Web of Science ID

WOS:000525006100002

Author(s)
Gervasio, Paola
Dede, Luca
Chanon, Ondine  
Quarteroni, Alfio  
Date Issued

2020-04-01

Publisher

SPRINGER/PLENUM PUBLISHERS

Published in
Journal Of Scientific Computing
Volume

83

Issue

1

Start page

18

Subjects

Mathematics, Applied

•

Mathematics

•

isogeometric analysis

•

spectral element methods

•

rate of convergence

•

condition number

•

computational comparison

•

partial-differential-equations

•

optimal quadrature-rules

•

spline spaces

•

collocation

•

formulations

•

refinement

•

geopdes

Editorial or Peer reviewed

REVIEWED

Written at

EPFL

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Available on Infoscience
April 23, 2020
Use this identifier to reference this record
https://infoscience.epfl.ch/handle/20.500.14299/168340
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