| bibtype |
C -
Conference Paper (international conference)
|
| ARLID |
0522492 |
| utime |
20250123091257.2 |
| mtime |
20200225235959.9 |
| SCOPUS |
85081131941 |
| WOS |
000659377600069 |
| DOI |
10.1007/978-3-030-41032-2_69 |
| title
(primary) (eng) |
MATLAB Implementation of Element-Based Solvers |
| specification |
| page_count |
9 s. |
| media_type |
P |
|
| serial |
| ARLID |
cav_un_epca*0522491 |
| ISBN |
978-3-030-41031-5 |
| ISSN |
0302-9743 |
| title
|
Large-Scale Scientific Computing : 12th International Conference, LSSC 2019 |
| page_num |
601-609 |
| publisher |
| place |
Cham |
| name |
Springer |
| year |
2020 |
|
| editor |
|
| editor |
|
|
| keyword |
MATLAB code vectorization |
| keyword |
Finite elements |
| keyword |
Stiffness and mass matrices |
| keyword |
Iterative solvers |
| author
(primary) |
| ARLID |
cav_un_auth*0319983 |
| name1 |
Marcinkowski |
| name2 |
L. |
| country |
PL |
|
| 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 |
| garant |
K |
| fullinstit |
Ústav teorie informace a automatizace AV ČR, v. v. i. |
|
| source |
|
| source |
|
| cas_special |
| project |
| project_id |
GA17-04301S |
| agency |
GA ČR |
| ARLID |
cav_un_auth*0347023 |
|
| abstract
(eng) |
Rahman and Valdman (2013) introduced a vectorized way to assemble finite element stiffness and mass matrices in MATLAB. Local element matrices are computed all at once by array operations and stored in multi-dimensional arrays (matrices). We build some iterative solvers on available multi-dimensional structures completely avoiding the use of a sparse matrix. |
| action |
| ARLID |
cav_un_auth*0389906 |
| name |
International Conference on Large-Scale Scientific Computing 2019 /12./ |
| dates |
20190610 |
| mrcbC20-s |
20190614 |
| place |
Sozopol |
| country |
BG |
|
| RIV |
BA |
| FORD0 |
10000 |
| FORD1 |
10100 |
| FORD2 |
10102 |
| reportyear |
2021 |
| presentation_type |
PR |
| inst_support |
RVO:67985556 |
| permalink |
http://hdl.handle.net/11104/0306971 |
| confidential |
S |
| arlyear |
2020 |
| mrcbU14 |
85081131941 SCOPUS |
| mrcbU24 |
PUBMED |
| mrcbU34 |
000659377600069 WOS |
| mrcbU63 |
cav_un_epca*0522491 Large-Scale Scientific Computing : 12th International Conference, LSSC 2019 978-3-030-41031-5 0302-9743 1611-3349 601 609 Cham Springer 2020 |
| mrcbU67 |
340 Lirkov I. |
| mrcbU67 |
340 Margenov S. |
|