Search results
- 1.0584116 - ÚTIA 2024 RIV CH eng C - Conference Paper (international conference)
Moskovka, A. - Valdman, Jan - Vohnoutová, M.
On Minimization of Nonlinear Energies Using FEM in MATLAB.
Parallel Processing and Applied Mathematics : 14th International Conference, PPAM 2022. Cham: Springer, 2023 - (Wyrzykowski, R.; Dongarra, J.; Deelman, E.; Karczewski, K.), s. 331-342. Lecture Notes in Computer Science, 13827. ISBN 978-3-031-30444-6. ISSN 0302-9743. E-ISSN 1611-3349.
[International Conference on Parallel Processing and Applied Mathematics (PPAM 2022) /14./. Gdansk (PL), 11.09.2022-14.09.2022]
R&D Projects: GA MŠMT 8J21AT001; GA ČR GF21-06569K
Institutional support: RVO:67985556
Keywords : minimization * nonlinear energy * finite elements * Ginzburg-Landau model * topology optimization
OECD category: Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
http://library.utia.cas.cz/separaty/2024/MTR/moskovka-0584116.pdf
Permanent Link: https://hdl.handle.net/11104/0352092 - 2.0584111 - ÚTIA 2024 RIV CH eng C - Conference Paper (international conference)
Moskovka, A. - Valdman, Jan
MATLAB Implementation of Hp Finite Elements on Rectangles Using Hierarchical Basis Functions.
Parallel Processing and Applied Mathematics : 14th International Conference, PPAM 2022. Cham: Springer, 2023 - (Wyrzykowski, R.; Dongarra, J.; Deelman, E.; Karczewski, K.), s. 287-299. Lecture Notes in Computer Science, 13827. ISBN 978-3-031-30444-6. ISSN 0302-9743. E-ISSN 1611-3349.
[International Conference on Parallel Processing and Applied Mathematics (PPAM 2022) /14./. Gdansk (PL), 11.09.2022-14.09.2022]
R&D Projects: GA MŠMT 8J21AT001; GA ČR GF21-06569K
Institutional support: RVO:67985556
Keywords : MATLAB vectorization * finite elements * mass and stiffness matrices * uniform hp-refinement * boundary value problem
OECD category: Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
http://library.utia.cas.cz/separaty/2024/MTR/moskovka-0584111.pdf
Permanent Link: https://hdl.handle.net/11104/0352090 - 3.0556726 - ÚI 2023 RIV CH eng C - Conference Paper (international conference)
Matonoha, Ctirad - Moskovka, A. - Valdman, Jan
Minimization of p-Laplacian via the Finite Element Method in MATLAB.
Large-Scale Scientific Computing. Cham: Springer, 2022 - (Lirkov, I.; Margenov, S.), s. 533-540. Lecture Notes in Computer Science, 13127. ISBN 978-3-030-97548-7. ISSN 0302-9743.
[LSSC 2021: International Conference on Large-Scale Scientific Computations /13./. Sozopol (BG), 07.06.2021-11.06.2021]
R&D Projects: GA MŠMT 8J21AT001; GA ČR GA18-03834S
Institutional support: RVO:67985807 ; RVO:67985556
Keywords : Finite elements * Energy functional * Trust-region methods * p-Laplace equation * MATLAB code vectorization
OECD category: Pure mathematics; Applied mathematics (UTIA-B)
http://dx.doi.org/10.1007/978-3-030-97549-4_61
Permanent Link: http://hdl.handle.net/11104/0330880