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Last update: Mgr. Dalibor Šmíd, Ph.D. (11.05.2023)
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Last update: RNDr. Jaroslav Hron, Ph.D. (12.01.2022)
This course aims to introduce students to numerical solution of problems in continuum mechanics by finite element method. Students will learn how to use modern parallel computers and how to use some suitable academic open source software tools. |
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Last update: RNDr. Jaroslav Hron, Ph.D. (12.01.2022)
Students will prepare a short report on solving a prototypical problem in continuum mechanics, which will be choose during the semester. |
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Last update: RNDr. Jaroslav Hron, Ph.D. (15.05.2017)
[1] A. Logg, K.-A. Mardal, G. Wells, eds., Automated Solution of Differential Equations by the Finite Element Method, Lecture Notes in Computational Science and Engineering. (2012). [2] K. Eriksson, D. Estep, P. Hansbo, C. Johnson, Computational Differential Equations, 1996. [3] D. Goldberg, What every computer scientist should know about floating-point arithmetic, ACM Computing Surveys. 23 (1991) 5-48. |
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Last update: RNDr. Jaroslav Hron, Ph.D. (12.01.2022)
Examination will consists of a question in the frame of syllabus or areas covered during the semester. The main part will be discussion of the problem solved in the credit test. |
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Last update: RNDr. Jaroslav Hron, Ph.D. (12.01.2022)
Solving a partial differential equation by finite element method using FEniCS.
domain description and discretization, basis function implementation (parametric, non-parametric finite elements), boundary condition implementation, efficient linear system assembly, solution of large, sparse linear systems (direct, preconditioned iterative, multigrid methods)
equation, the elastic deformation equation, multi-phase flows, the levelset method |