|
|
|
|
|
|
|
|
|
1. |
Record Nr. |
UNISA996539668703316 |
|
|
Autore |
Mikyska Jiří |
|
|
Titolo |
Computational Science – ICCS 2023 [[electronic resource] ] : 23rd International Conference, Prague, Czech Republic, July 3–5, 2023, Proceedings, Part II / / edited by Jiří Mikyška, Clélia de Mulatier, Maciej Paszynski, Valeria V. Krzhizhanovskaya, Jack J. Dongarra, Peter M.A. Sloot |
|
|
|
|
|
|
|
Pubbl/distr/stampa |
|
|
Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023 |
|
|
|
|
|
|
|
ISBN |
|
|
|
|
|
|
Edizione |
[1st ed. 2023.] |
|
|
|
|
|
Descrizione fisica |
|
1 online resource (751 pages) |
|
|
|
|
|
|
Collana |
|
Lecture Notes in Computer Science, , 1611-3349 ; ; 14074 |
|
|
|
|
|
|
Altri autori (Persone) |
|
de MulatierClélia |
PaszynskiMaciej |
KrzhizhanovskayaValeria V |
DongarraJack J |
SlootPeter M. A |
|
|
|
|
|
|
|
|
Disciplina |
|
|
|
|
|
|
Soggetti |
|
Computer science |
Artificial intelligence |
Computer engineering |
Computer networks |
Software engineering |
Computer science—Mathematics |
Theory of Computation |
Artificial Intelligence |
Computer Engineering and Networks |
Software Engineering |
Mathematics of Computing |
|
|
|
|
|
|
|
|
Lingua di pubblicazione |
|
|
|
|
|
|
Formato |
Materiale a stampa |
|
|
|
|
|
Livello bibliografico |
Monografia |
|
|
|
|
|
Sommario/riassunto |
|
The five-volume set LNCS 14073-14077 constitutes the proceedings of the 23rd International Conference on Computational Science, ICCS 2023, held in Prague, Czech Republic, during July 3-5, 2023. The total |
|
|
|
|
|
|
|
|
|
|
of 188 full papers and 94 short papers presented in this book set were carefully reviewed and selected from 530 submissions. 54 full and 37 short papers were accepted to the main track; 134 full and 57 short papers were accepted to the workshops/thematic tracks. The theme for 2023, "Computation at the Cutting Edge of Science", highlights the role of Computational Science in assisting multidisciplinary research. This conference was a unique event focusing on recent developments in scalable scientific algorithms, advanced software tools; computational grids; advanced numerical methods; and novel application areas. These innovative novel models, algorithms, and tools drive new science through efficient application in physical systems, computational and systems biology, environmental systems, finance, and others. |
|
|
|
|
|
| |