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Matrix Computations with Applications

Research group The group Numerical Linear Algebra studies algorithms for complex numerical problems, usually involving computations on very large matrices.

The results of this research are important for applications in engineering and natural science that require computation-intensive numerical problems to be solved. Along with the theoretical work and the exploration of applications in, e.g., systems and control theory, the group also contributes to the further development of standard software libraries, such as LAPACK, ScaLAPACK, and the SLICOT library within the NICONET project.

Research leader

Bo Kågström
Professor emeritus
E-mail
Email

Overview

Participating departments and units at Umeå University

Department of Computing Science

Research area

Computing science

Research projects

StratiGraph and MCS Toolbox
Research area: Computing science
Duration 1 January 1998
Type of project Research project

Latest publications

Foundations of Computational Mathematics, Springer 2020, Vol. 20, (3) : 423-450
Dmytryshyn, Andrii; Johansson, Stefan; Kågström, Bo; et al.
NLAFET Consortium; Umeå University 2019
Kågström, Bo; Myllykoski, Mirko; Karlsson, Lars; et al.
NLAFET Consortium; Umeå University 2019
Myllykoski, Mirko; Kjelgaard Mikkelsen, Carl Christian; Schwarz, Angelika Beatrix; et al.
NLAFET Consortium; Umeå University 2018
Myllykoski, Mirko; Karlsson, Lars; Kågström, Bo; et al.
Parallel Processing and Applied Mathematics. PPAM 2017: Part 1, Springer 2018 : 579-589
Eljammaly, Mahmoud; Karlsson, Lars; Kågström, Bo
SIAM Journal on Scientific Computing, Society for Industrial and Applied Mathematics 2018, Vol. 40, (2) : C157-C180
Adlerborn, Björn; Karlsson, Lars; Kågström, Bo
ICPE '18 Companion of the 2018 ACM/SPEC International Conference on Performance Engineering, ACM Digital Library 2018 : 5-8
Eljammaly, Mahmoud; Karlsson, Lars; Kågström, Bo
Report / UMINF, 17.19
Eljammaly, Mahmoud; Karlsson, Lars; Kågström, Bo
Report / UMINF, 17.10
Adlerborn, Björn; Kjelgaard Mikkelsen, Carl Christian; Karlsson, Lars; et al.
Report / UMINF, 17.11
Myllykoski, Mirko; Kjelgaard Mikkelsen, Carl Christian; Karlsson, Lars; et al.

News - Computing Science

New AI methods make medical image analysis more reliable
Published: 2026-09-03

New AI methods take into account the structures in medical images and provide more reliable results.

AI in focus as ADS Lab at Umeå University brought together 100 experts in cloud research
Published: 2026-07-02

Artificial intelligence, security and energy — key issues at ADS Lab’s annual event.

Alexandre Bartel receives Nordea's Scientific Prize 2026
Published: 2026-06-18

Reveals vulnerabilities in software and develops tools that prevent attacks on digital systems.

Latest update: 2025-08-28