Research Output per year
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
Comparisons among several methods for handling missing data in principal component analysis (PCA)
Loisel, S. & Takane, Y. 18 Jan 2018 In : Advances in Data Analysis and Classification.Research output: Contribution to journal › Article
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 journal › Article
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 proceeding › Conference 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 proceeding › Conference contribution
Stochastic Finite Element
Polynomial Chaos
Stochastic Methods
Chaos theory
Preconditioner
Condition number estimates and weak scaling for 2-level 2-lagrange multiplier methods for general domains and cross points
Karangelis, A. & Loisel, S. 2015 In : SIAM Journal on Scientific Computing. 37, 2, p. C247-C267 21 p.Research output: Contribution to journal › Article
Open Access
File
Lagrange multiplier Method
Domain decomposition methods
Lagrange multipliers
Condition number
Domain Decomposition Method