Personal profile

Research interests

My main area of research is domain decomposition methods for solving large-scale problems in massively parallel environments.

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Research Output 2008 2018

principal component analysis
comparison
method
rate

An optimal Schwarz preconditioner for a class of parallel adaptive finite elements

Loisel, S. & Nguyen, H. Sep 2017 In : Journal of Computational and Applied Mathematics. 321, p. 90–107 18 p.

Research output: Contribution to journalArticle

Open Access
File
Adaptive Finite Elements
Preconditioner
Mesh
Smallest Eigenvalue
Largest Eigenvalue

A comparison of additive schwarz preconditioners for parallel adaptive finite elements

Loisel, S. & Nguyen, T. H. 2016 Domain Decomposition Methods in Science and Engineering XXII. Springer International Publishing, p. 345-354 10 p. (Lecture Notes in Computational Science and Engineering; vol. 104)

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Schwarz preconditioner for the stochastic finite element method

Subber, W. & Loisel, S. 2016 Domain Decomposition Methods in Science and Engineering XXII. Springer, p. 397-405 9 p. (Lecture Notes in Computational Science and Engineering; vol. 104)

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Stochastic Finite Element
Polynomial Chaos
Stochastic Methods
Chaos theory
Preconditioner
Open Access
File
Lagrange multiplier Method
Domain decomposition methods
Lagrange multipliers
Condition number
Domain Decomposition Method