SNA´19 - Seminar on numerical analysis.

0500837 - ÚGN 2020 RIV CZ eng H - Proceedings (Czech conference)
Blaheta, Radim (ed.) - Starý, Jiří (ed.) - Sysalová, Dagmar (ed.)
SNA´19 - Seminar on numerical analysis..
Ostrava: Ústav geoniky AV ČR, 2019. 232 s. ISBN 978-80-86407-64-7. 1.
[SNA´19 - Seminar on numerical analysis. Ostrava (CZ), 21.01.2019-25.01.2019]
R&D Projects: GA MŠMT ED1.1.00/02.0070
Institutional support: RVO:68145535
Keywords : numerical analysis * mathematical modelling * computer mathematics
OECD category: Applied mathematics
http://www.ugn.cas.cz/actually/event/2017/sna/sna-sbornik.pdf

Seminar on Numerical Analysis 2017 (SNA'17) is a continuation in a series of SNA events held
in different places in the Czech Republic and organized alternatively by Ostrava and Prague
institutions. The SNA'17 is organized by the Institute of Geonics of the CAS in collaboration with
VŠB - Technical University of Ostrava and IT4Innovations National Supercomputing Centre.
Conference location is one of the lecture rooms in New Aula of the VŠB-TU Ostrava.
Let us note that SNA 2016 was reshaped to EMS School in Applied Mathematics (ESSAM)
devoted to mathematical modelling, numerical analysis and scientiffc computing. The SNA'17
is turning back to more traditional winter event.
It provides opportunity for meeting and mutual information of the community working in computational
mathematics and computer science, but an important part of SNA is devoted to the
Winter School with tutorial lectures focused on selected important topics within the scope of
numerical methods and modelling.
This year, a part of the Winter School will be the course Parallel Linear Algebra (PLA) organized
by the European research infrastructure PRACE, particularly by the French PRACE Advanced
Training Centre - Maison de la Simulation. Winter school lectures will cover the ongoing topics
related to domain decomposition methods, interval computations and numerical veriffcation. The
PLA course will provide lectures from the area of direct and iterative parallel solvers, as well as
practical training with selected programs.
Permanent Link: http://hdl.handle.net/11104/0292880