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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.


Projects Matrix Computations with Applications.


Publications Matrix Computations with Applications.


Virginia Dignum one of 50 top AI ethics influencers
Published: 31 May, 2020

Virginia Dignum on the French digital web agency IPFC list of top 50 AI Ethics influencers.

Licentiate thesis on socially intelligent systems
Published: 27 May, 2020

Timotheus Kampik has defended his Licentiate Thesis.

Umeå researchers receive international award for best paper on software agents
Published: 14 May, 2020

Virginia Dignum and Frank Dignum receive best paper award for AAMAS 2020 Blue Sky track.

New professor in AI and privacy
Published: 08 May, 2020

Vicenç Torra is a new professor at the department of Computing Science.

Umeå University statement on European approach for AI
Published: 05 May, 2020

The EU White Paper on AI shall foster a European ecosystem of excellence and trust in AI.