| bibtype |
J -
Journal Article
|
| ARLID |
0410415 |
| utime |
20240103182212.6 |
| mtime |
20060210235959.9 |
| title
(primary) (eng) |
Numerical approximation of Young measures in nonconvex variational problems |
| specification |
|
| serial |
| ARLID |
cav_un_epca*0257346 |
| ISSN |
0029-599X |
| title
|
Numerische Mathematik |
| volume_id |
84 |
| volume |
99 (2000) |
| page_num |
395-415 |
|
| author
(primary) |
| ARLID |
cav_un_auth*0212690 |
| name1 |
Carstensen |
| name2 |
C. |
| country |
DE |
|
| author
|
| ARLID |
cav_un_auth*0101187 |
| name1 |
Roubíček |
| name2 |
Tomáš |
| institution |
UTIA-B |
| full_dept |
Department of Decision Making Theory |
| fullinstit |
Ústav teorie informace a automatizace AV ČR, v. v. i. |
|
| COSATI |
12C |
| cas_special |
| research |
AV0Z1075907 |
| abstract
(eng) |
In non-convex optimisation problems there usually does not exist any classical solution but only generalised solutions which involve Young measures. A suitable relaxation and approximation theory is developed together with optimality conditions, and then an adaptive scheme is proposed for the efficient numerical treatment. The Young measures solving the approximate problems are usually composed only from a few atoms. This is the main argument our effective active-set type algorithm is based on. |
| RIV |
BA |
| department |
MTR |
| permalink |
http://hdl.handle.net/11104/0130504 |
| ID_orig |
UTIA-B 20000131 |
| arlyear |
2000 |
| mrcbU63 |
cav_un_epca*0257346 Numerische Mathematik 0029-599X 0945-3245 Roč. 84 č. 99 2000 395 415 |
|