Full metadata record
| DC pole | Hodnota | Jazyk |
|---|---|---|
| dc.contributor.author | Matonoha, Ctirad | |
| dc.contributor.author | Moskovka, Alexej | |
| dc.contributor.author | Valdman, Jan | |
| dc.date.accessioned | 2022-12-12T11:00:33Z | - |
| dc.date.available | 2022-12-12T11:00:33Z | - |
| dc.date.issued | 2022 | |
| dc.identifier.citation | MATONOHA, C. MOSKOVKA, A. VALDMAN, J. Minimization of p-Laplacian via the Finite Element Method in MATLAB. In Large-Scale Scientific Computing. Heidelberg: Springer, 2022. s. 533-540. ISBN: 978-3-030-97548-7 , ISSN: 0302-9743 | cs |
| dc.identifier.isbn | 978-3-030-97548-7 | |
| dc.identifier.issn | 0302-9743 | |
| dc.identifier.uri | 2-s2.0-85127202885 | |
| dc.identifier.uri | http://hdl.handle.net/11025/50627 | |
| dc.format | 8 s. | cs |
| dc.format.mimetype | application/pdf | |
| dc.language.iso | en | en |
| dc.publisher | Springer | en |
| dc.relation.ispartofseries | Large-Scale Scientific Computing | en |
| dc.rights | © Springer | en |
| dc.title | Minimization of p-Laplacian via the Finite Element Method in MATLAB | en |
| dc.type | konferenční příspěvek | cs |
| dc.type | ConferenceObject | en |
| dc.rights.access | openAccess | en |
| dc.type.version | publishedVersion | en |
| dc.description.abstract-translated | Minimization of energy functionals is based on a discretization by the finite element method and optimization by the trust-region method. A key tool to an efficient implementation is a local evaluation of the approximated gradients together with sparsity of the resulting Hessian matrix. Vectorization concepts are explained for the p-Laplace problem in one and two space-dimensions. | en |
| dc.subject.translated | energy functional | en |
| dc.subject.translated | finite elements | en |
| dc.subject.translated | MATLAB code vectorization | en |
| dc.subject.translated | p-Laplace equation | en |
| dc.subject.translated | trust-region methods | en |
| dc.identifier.doi | 10.1007/978-3-030-97549-4_61 | |
| dc.type.status | Peer-reviewed | en |
| dc.identifier.obd | 43936838 | |
| dc.project.ID | SGS-2022-006/Kvalitativní a kvantitativní studium matematických modelů V. | cs |
| Vyskytuje se v kolekcích: | Konferenční příspěvky / Conference Papers (KMA) OBD | |
Soubory připojené k záznamu:
| Soubor | Velikost | Formát | |
|---|---|---|---|
| 978-3-030-97549-4-537-544.pdf | 1,02 MB | Adobe PDF | Zobrazit/otevřít Vyžádat kopii |
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