Repository logo

Infoscience

  • English
  • French
Log In
Logo EPFL, École polytechnique fédérale de Lausanne

Infoscience

  • English
  • French
Log In
  1. Home
  2. Academic and Research Output
  3. Conferences, Workshops, Symposiums, and Seminars
  4. Comparison of Clenshaw-Curtis and Leja Quasi-Optimal Sparse Grids for the Approximation of Random PDEs
 
conference paper

Comparison of Clenshaw-Curtis and Leja Quasi-Optimal Sparse Grids for the Approximation of Random PDEs

Nobile, Fabio  
•
Tamellini, Lorenzo  
•
Tempone, Raul
Kirby, Robert M.
•
Berzins, Martin
Show more
2015
Spectral and High Order Methods for Partial Differential Equations ICOSAHOM 2014
International Conference on Spectral and High-Order Methods 2014 (ICOSAHOM'14)

In this work we compare different families of nested quadrature points, i.e. the classic Clenshaw-Curtis and various kinds of Leja points, in the context of the quasi-optimal sparse grid approximation of random elliptic PDEs. Numerical evidence suggests that both families perform comparably within such framework.

  • Files
  • Details
  • Metrics
Type
conference paper
DOI
10.1007/978-3-319-19800-2_44
Web of Science ID

WOS:000368440400044

Author(s)
Nobile, Fabio  
Tamellini, Lorenzo  
Tempone, Raul
Editors
Kirby, Robert M.
•
Berzins, Martin
•
Hesthaven, Jan S.
Date Issued

2015

Publisher

Springer

Published in
Spectral and High Order Methods for Partial Differential Equations ICOSAHOM 2014
ISBN of the book

978-3-319-19800-2

Series title/Series vol.

Lecture Notes in Computational Science and Engineering; 106

Start page

475

End page

482

Subjects

Uncertainty Quantification

•

PDEs with random data

•

linear elliptic equations

•

Stochastic Collocation methods

•

Sparse grids approximation

•

Leja points

•

Clenshaw–Curtis points

Editorial or Peer reviewed

REVIEWED

Written at

EPFL

EPFL units
CSQI  
Event nameEvent placeEvent date
International Conference on Spectral and High-Order Methods 2014 (ICOSAHOM'14)

Salt Lake City

June 23-27, 2014

RelationURL/DOI

IsNewVersionOf

https://infoscience.epfl.ch/record/263229
Use this identifier to reference this record
https://infoscience.epfl.ch/handle/20.500.14299/107171
Logo EPFL, École polytechnique fédérale de Lausanne
  • Contact
  • infoscience@epfl.ch

  • Follow us on Facebook
  • Follow us on Instagram
  • Follow us on LinkedIn
  • Follow us on X
  • Follow us on Youtube
AccessibilityLegal noticePrivacy policyCookie settingsEnd User AgreementGet helpFeedback

Infoscience is a service managed and provided by the Library and IT Services of EPFL. © EPFL, tous droits réservés