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230704 ||| eng |
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|a 9783031360275
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| 100 |
1 |
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|a Mikyška, Jiří
|e [editor]
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| 245 |
0 |
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|a Computational Science – ICCS 2023
|h Elektronische Ressource
|b 23rd International Conference, Prague, Czech Republic, July 3–5, 2023, Proceedings, Part IV
|c edited by Jiří Mikyška, Clélia de Mulatier, Maciej Paszynski, Valeria V. Krzhizhanovskaya, Jack J. Dongarra, Peter M.A. Sloot
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| 250 |
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|a 1st ed. 2023
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| 260 |
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|a Cham
|b Springer Nature Switzerland
|c 2023, 2023
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| 300 |
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|a XXII, 673 p. 235 illus., 218 illus. in color
|b online resource
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| 653 |
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|a Software engineering
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| 653 |
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|a Computer science
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| 653 |
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|a Mathematics of Computing
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| 653 |
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|a Computer science / Mathematics
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| 653 |
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|a Software Engineering
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| 653 |
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|a Artificial Intelligence
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| 653 |
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|a Computer networks
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| 653 |
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|a Computer Engineering and Networks
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| 653 |
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|a Artificial intelligence
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| 653 |
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|a Computer engineering
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| 653 |
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|a Theory of Computation
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| 700 |
1 |
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|a de Mulatier, Clélia
|e [editor]
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| 700 |
1 |
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|a Paszynski, Maciej
|e [editor]
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| 700 |
1 |
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|a Krzhizhanovskaya, Valeria V.
|e [editor]
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| 041 |
0 |
7 |
|a eng
|2 ISO 639-2
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| 989 |
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|b Springer
|a Springer eBooks 2005-
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| 490 |
0 |
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|a Lecture Notes in Computer Science
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| 028 |
5 |
0 |
|a 10.1007/978-3-031-36027-5
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| 856 |
4 |
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|u https://doi.org/10.1007/978-3-031-36027-5?nosfx=y
|x Verlag
|3 Volltext
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| 082 |
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|a 004.0151
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| 520 |
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|a 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 andsystems biology, environmental systems, finance, and others
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