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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 Dive into the research topics where Sebastien Loisel is active. These topic labels come from the works of this person. Together they form a unique fingerprint.

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

Co Author Network Recent external collaboration on country level. Dive into details by clicking on the dots.

Research Output 2008 2019

On the convergence of an optimal Additive Schwarz method for parallel adaptive finite elements

Loisel, S. & Nguyen, H., 1 Aug 2019, In : Journal of Computational and Applied Mathematics. 355, p. 193-200 8 p.

Research output: Contribution to journalArticle

Additive Schwarz Method
Adaptive Finite Elements
Parallel algorithms
Preconditioner
Condition number
Open Access
File
principal component analysis
comparison
method
rate

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
File
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
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