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.
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 journal › Article
Additive Schwarz Method
Adaptive Finite Elements
Parallel algorithms
Preconditioner
Condition number
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
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 journal › Article
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 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