Mathematical modelling and computational methods in applied sciences and engineering - Modelling 2019

0517995 - ÚGN 2020 RIV CZ eng G - Konferenční sborník (zahraniční konf.)
Blaheta, Radim (ed.) - Starý, Jiří (ed.) - Sysala, Stanislav (ed.)
Mathematical modelling and computational methods in applied sciences and engineering - Modelling 2019.
Ostrava: Ústav geoniky AV ČR, v. v. i., 2019. 160 s. ISBN 978-80-86407-79-1. 1.
[Modelling 2019: International conference on mathematical modelling and computational methods in applied sciences and engineering. Olomouc (CZ), 16.09.2019-20.09.2019]
Grant CEP: GA MŠMT LQ1602
Institucionální podpora: RVO:68145535
Klíčová slova: modelling * inverse problems * numerical methods * partial differential equations
Obor OECD: Applied mathematics

Modelling 2019 is an international conference on Mathematical Modelling and Computational Methods in Applied Sciences and Engineering held in
Olomouc, Czech Republic, in September 16 - 20, 2019. It aims to be a forum for an exchange of ideas, insights and experiences in different areas
of mathematical modelling. It includes the fundamental formulation and analysis of mathematical models, the development of numerical methods and exploitation of capabilities of the contemporary high-performance computers or applications of mathematical modelling.
This conference belongs to a series of conferences previously held in Roznov in 2014 and 2009, in Pilsen in 2005 and 2001, and in Prague in 1998 and 1994. During the period of 25 years, the focus of the conference has been substantially enlarged. Besides the topics aiming at the development
of numerical methods and analysis of mathematical models described by the partial differential equations, the conference relates to the inverse
problems, quantification of uncertainties in the input data, machine learning and exploitation of high-performance computing systems of petaflops and pre-exaflops performance. Increased attention is devoted to challenging industrial problems and collaboration with industry.
Trvalý link: http://hdl.handle.net/11104/0303216