| bibtype |
C -
Conference Paper (international conference)
|
| ARLID |
0556726 |
| utime |
20231122150515.2 |
| mtime |
20220425235959.9 |
| SCOPUS |
85127202885 |
| WOS |
000893681300061 |
| DOI |
10.1007/978-3-030-97549-4_61 |
| title
(primary) (eng) |
Minimization of p-Laplacian via the Finite Element Method in MATLAB |
| specification |
| page_count |
8 s. |
| media_type |
P |
|
| serial |
| ARLID |
cav_un_epca*0556337 |
| ISBN |
978-3-030-97548-7 |
| ISSN |
0302-9743 |
| title
|
Large-Scale Scientific Computing |
| page_num |
533-540 |
| publisher |
| place |
Cham |
| name |
Springer |
| year |
2022 |
|
| editor |
|
| editor |
|
|
| keyword |
Finite elements |
| keyword |
Energy functional |
| keyword |
Trust-region methods |
| keyword |
p-Laplace equation |
| keyword |
MATLAB code vectorization |
| author
(primary) |
| ARLID |
cav_un_auth*0100790 |
| name1 |
Matonoha |
| name2 |
Ctirad |
| institution |
UIVT-O |
| full_dept (cz) |
Oddělení výpočetní matematiky |
| full_dept (eng) |
Department of Computational Mathematics |
| full_dept |
Department of Computational Mathematics |
| fullinstit |
Ústav informatiky AV ČR, v. v. i. |
|
| author
|
| ARLID |
cav_un_auth*0410335 |
| name1 |
Moskovka |
| name2 |
A. |
| country |
CZ |
|
| author
|
| ARLID |
cav_un_auth*0292941 |
| name1 |
Valdman |
| name2 |
Jan |
| institution |
UTIA-B |
| full_dept (cz) |
Matematická teorie rozhodování |
| full_dept |
Department of Decision Making Theory |
| department (cz) |
MTR |
| department |
MTR |
| full_dept |
Department of Decision Making Theory |
| fullinstit |
Ústav teorie informace a automatizace AV ČR, v. v. i. |
|
| source |
|
| cas_special |
| project |
| project_id |
8J21AT001 |
| agency |
GA MŠk |
| ARLID |
cav_un_auth*0413224 |
|
| project |
| project_id |
GA18-03834S |
| agency |
GA ČR |
| ARLID |
cav_un_auth*0365435 |
|
| abstract
(eng) |
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. |
| action |
| ARLID |
cav_un_auth*0410336 |
| name |
LSSC 2021: International Conference on Large-Scale Scientific Computations /13./ |
| dates |
20210607 |
| mrcbC20-s |
20210611 |
| place |
Sozopol |
| country |
BG |
|
| FORD0 |
10000 |
| FORD1 |
10100 |
| FORD2 |
10101 |
| reportyear |
2023 |
| num_of_auth |
3 |
| mrcbC47 |
UTIA-B 10000 10100 10102 |
| mrcbC52 |
4 A 4a 20231122150515.2 |
| inst_support |
RVO:67985807 |
| inst_support |
RVO:67985556 |
| permalink |
http://hdl.handle.net/11104/0330880 |
| cooperation |
| ARLID |
cav_un_auth*0339298 |
| name |
UTIA |
|
| cooperation |
| ARLID |
cav_un_auth*0295079 |
| name |
Západočeská univerzita v Plzni |
| institution |
ZČU |
| country |
CZ |
|
| confidential |
S |
| mrcbC86 |
n.a. Proceedings Paper Computer Science Interdisciplinary Applications|Computer Science Theory Methods|Operations Research Management Science|Mathematics Applied |
| arlyear |
2022 |
| mrcbTft |
\nSoubory v repozitáři: 0556726-afin.pdf |
| mrcbU14 |
85127202885 SCOPUS |
| mrcbU24 |
PUBMED |
| mrcbU34 |
000893681300061 WOS |
| mrcbU63 |
cav_un_epca*0556337 Large-Scale Scientific Computing 978-3-030-97548-7 0302-9743 533 540 Cham Springer 2022 1. Lecture Notes in Computer Science 13127 |
| mrcbU67 |
Lirkov I. 340 |
| mrcbU67 |
Margenov S. 340 |
|