Nordic numerical linear algebra meeting 2019
The nordic numerical linear algebra workshop 2019 will take place at KTH Royal Institute of Technology, Stockholm, October 21-22, 2019.
Scope
The workshop is devoted to all aspects of applied and numerical linear algebra, spanning theory, analysis, computation and methods to specific research areas in applications as well as mathematical software. The topics include but are not limited to: linear systems, nonlinear systems, iterative methods, direct methods, eigenvalue problems, matrix functions, structured matrices, least squares problems, tensor methods, matrix equations, graph theory and high performance computing. Specific application areas include but are not restricted to: physical sciences, systems & control, data science, machine learning, biology and statistics.
Invited speakers
- Silvia Gazzola, Univ. Bath, Bath, United Kingdom
- Daniel Kressner, EPFL, Lausanne, Switzerland
Important dates
- Conference: October 21-22, 2019, KTH Royal Institute of Technology, Stockholm (on campus)
- Abstract submission deadline:
September 6, 2019,September 13, 2019: Onlinesubmission of abstract (closed)for talks / posters - Acceptance notification: September 15, 2019
- Registration deadline: September 17, 2019: Online
conference registration (closed). It is greatly appreciated if you register and submit an abstract at the same point in time. It simplifies conference planning. Participation is free of charge.
Accomodation
Participants are encouraged to find and book hotels themselves. Nearby recommended hotels:
Schedule & Venue
Lunch and registration: Lindstedtsvägen 15. map
Talks and coffee break: lecture hall H1 map. .
Conference dinner: Restaurant cypern. Valhallavägen 50. map
For further information see the program and abstracts.
Note: Contributed talks are 15 minutes + 5 minutes questions.
Organizing committee
Elias Jarlebring, Maya Neytcheva, Philipp Birken, Andrii Dmytryshyn
Participants
Group photo: jpg
List of participants: See program and abstracts
Sponsor
The meeting is sponsored by Brummer & Partner MathDataLab