Information for students, faculty and staff regarding COVID-19. (Updated: 21 October 2020)

Skip to content
printicon

Matrix Computations with Applications

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 projects

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

Latest publications

2020
Foundations of Computational Mathematics, Springer 2020, Vol. 20, (3) : 423-450
Dmytryshyn, Andrii; Johansson, Stefan; Kågström, Bo; et al.
2019
NLAFET Consortium; Umeå University 2019
Kågström, Bo; Myllykoski, Mirko; Karlsson, Lars; et al.
2019
NLAFET Consortium; Umeå University 2019
Myllykoski, Mirko; Kjelgaard Mikkelsen, Carl Christian; Schwarz, Angelika Beatrix; et al.
2018
SIAM Journal on Scientific Computing, Society for Industrial and Applied Mathematics 2018, Vol. 40, (2) : C157-C180
Adlerborn, Björn; Karlsson, Lars; Kågström, Bo
2018
Parallel Processing and Applied Mathematics. PPAM 2017: Part 1, Springer 2018 : 579-589
Eljammaly, Mahmoud; Karlsson, Lars; Kågström, Bo
2018
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
2018
NLAFET Consortium; Umeå University 2018
Myllykoski, Mirko; Karlsson, Lars; Kågström, Bo; et al.
2017
Report / UMINF, 17.19
Eljammaly, Mahmoud; Karlsson, Lars; Kågström, Bo
2017
SIAM Journal on Matrix Analysis and Applications, Society for Industrial and Applied Mathematics 2017, Vol. 38, (4) : 1249-1267
Dmytryshyn, Andrii; Johansson, Stefan; Kågström, Bo
2017
NLAFET 2017
Kjelgaard Mikkelsen, Carl Christian; Myllykoski, Mirko; Adlerborn, Björn; et al.

News - Computing Science

Top-listed AI startups in Sweden based on research at Umeå University
Published: 21 Oct, 2020

Algoryx, Infobaleen, Prediktera and Shimmercat are all among the brightest startups within AI in Sweden.

Privacy: an important concept of our time
Published: 15 Oct, 2020

Vu studies the need for only privacy-guarantee and privacy concern analysis in machine learning with big data.

Spin-off Elastisys part of fog computing project
Published: 05 Oct, 2020

Elastisys is part of a project with novel fog computing technologies for smart water management.

Graduate school a future of groundbreaking research in AI
Published: 30 Sep, 2020

Six PhD students from Umeå participated in the first meeting of WASP-HS humanities and social sciences.

What do you do when cloud resources are insufficient?
Published: 29 Sep, 2020

Lars Larsson approaches the cloud resource problem from both cloud providers and customers point of view.