Year: 2023
CAM-Net Digest, Vol. 20 (2023), Iss. 19 : p. 4
Abstract
Winter School on Hierarchical Matrices
Date: 5th to 9th of February, 2024
Location: Christian-Albrechts-Universitat zu Kiel, Kiel, Germany
Hierarchical matrices offer an efficient approach to handling non-local operator resulting, e.g., from the discretization of an integral equation or the inversion of a partial differential equation. They rely on a decomposition of a matrix into sub-matrices of low numerical rank that can be represented efficiently in factorized form. Taking advantage of this representation, operations like the matrix-vector multiplication, matrix multiplication, inversion, factorization, evaluation of matrix functions or solution of matrix equations can be performed in almost linear complexity.
The winter school is split into lectures and practical exercises. The lectures present the fundamental concepts and algorithms. The exercises use the H2Lib software package to allow the participants to experience the discussed methods first-hand and discuss specific questions with experts in the field.
Participation at the site of the workshop is preferred. On request, online participation can be made possible.
Limited funds will be available to support the participation of young scientists financially. If you are interested, please send a motivation letter and a supporting letter.
Participants are requested to bring their own laptops capable of compiling and running programs written in C.
Website:
https://www.csc.uni-kiel.de/de/veranstaltungen/winter-school-on-hierarchical-matrices-2024
Website H2Lib: http://www.h2lib.org
Registration via mail to school@hmatrix.org
You do not have full access to this article.
Already a Subscriber? Sign in as an individual or via your institution
Journal Article Details
Publisher Name: Global Science Press
Language: Chinese
DOI: https://doi.org/2023-CAM-22228
CAM-Net Digest, Vol. 20 (2023), Iss. 19 : p. 4
Published online: 2023-01
AMS Subject Headings: Global Science Press
Copyright: COPYRIGHT: © Global Science Press
Pages: 1