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Personal profile

Research interests

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

Fingerprint Fingerprint is based on mining the text of the person's scientific documents to create an index of weighted terms, which defines the key subjects of each individual researcher.

Lagrange multiplier Method Mathematics
Lagrange multipliers Engineering & Materials Science
Domain Decomposition Method Mathematics
Preconditioner Mathematics
Domain decomposition methods Engineering & Materials Science
Condition number Mathematics
Field of Values Mathematics
GMRES Mathematics

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Research Output 2008 2019

Open Access
principal component analysis

Path-Following Method to Determine the Field of Values of a Matrix with High Accuracy

Loisel, S. & Maxwell, P., 27 Nov 2018, In : SIAM Journal on Matrix Analysis and Applications. 39, 4, p. 1726-1749 24 p.

Research output: Contribution to journalArticle

Open Access
Path-following Methods
Field of Values
High Accuracy
Hermite Interpolation
Control Points

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
Adaptive Finite Elements
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