Scientific Computing

Winterschool on Hierarchical Matrices 2019

Date: 4th to 8th of March, 2019

Place: Kleiner Hörsaal Raum 13, Alte Mensa, Olshausenstraße 40,
Christian-Albrechts-Universität, Kiel, Germany

Organizers: Wolfgang Hackbusch, Lars Grasedyck, Steffen Börm

Hierarchical matrices offer an efficient approach to handling non-local operators resulting, e.g., from the discretization of an integral equation or the inversion of a partial differential equation. They rely on a hierarchical decomposition of a matrix into sub-matrices of low numerical rank that can be represented in factorized form.

Using this representation, we can perform operations like the matrix-vector multiplication, matrix multiplication, LR and Cholesky factorization, or the evaluation of matrix functions and the solution of matrix equations in almost linear complexity.

The programme of the winter school is split into two parts:

  • Lectures during the morning present the fundamental concepts and algorithms, while
  • practical exercises during the afternoon based on the H2Lib package allow the participants to experience the methods first-hand.

Participation is free of charge. Please address questions and registration requests to