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Course, academic year 2016/2017
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Fundamentals of Discontinuous Galerkin Method - NMNV540
Title: Základy nespojité Galerkinovy metody
Guaranteed by: Department of Numerical Mathematics (32-KNM)
Faculty: Faculty of Mathematics and Physics
Actual: from 2016 to 2019
Semester: summer
E-Credits: 3
Hours per week, examination: summer s.:2/0, Ex [HT]
Capacity: unlimited
Min. number of students: unlimited
4EU+: no
Virtual mobility / capacity: no
State of the course: taught
Language: Czech, English
Teaching methods: full-time
Teaching methods: full-time
Guarantor: prof. RNDr. Vít Dolejší, Ph.D., DSc.
Class: M Mgr. NVM
M Mgr. NVM > Povinně volitelné
Classification: Mathematics > Numerical Analysis
Incompatibility : NNUM069
Interchangeability : NNUM069
Is interchangeable with: NNUM069
Annotation -
Last update: prof. RNDr. Vít Dolejší, Ph.D., DSc. (12.09.2013)
The goal of this lecture is to present the base of the discontinuous Galerkin method (DGM) which exhibits an efficient tool for the solution of partial differential equations. We present a use of DGM for elliptic, parabolic and hyperbolic equations, namely the discretization, numerical analysis and some aspects of a numerical implementation.
Literature -
Last update: prof. RNDr. Vít Dolejší, Ph.D., DSc. (30.11.2021)

Arnold, Douglas N.; Brezzi, Franco; Cockburn, Bernardo; Marini, L.Donatella: Unified analysis of discontinuous Galerkin methods for elliptic problems. SIAM J. Numer. Anal. 39, No.5, 1749-1779 (2002).

Cockburn, Bernardo: An introduction to the discontinuous Galerkin method for convection-dominated problems. Quarteroni, Alfio (ed.) et al., Advanced numerical approximation of nonlinear hyperbolic equations. Lectures given at the 2nd session of the Centro Internazionale Matematico Estivo (C.I.M.E.) held in Cetraro, Italy, June 23--28, 1997. Berlin: Springer. Lect. Notes Math. 1697, 151-268 (1998).

Syllabus -
Last update: doc. RNDr. Václav Kučera, Ph.D. (19.12.2018)

discontinuous Galerkin method (DGM),

solution of elliptic, parabolic and hyperbolic problems by DGM,

a priori error estimates,

numerical implementation

 
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