Cantitate/Preț
Produs
Total produse
Vezi coșul
Computational Science - ICCS 2022 de Derek Groen

Computational Science - ICCS 2022: Lecture Notes in Computer Science, cartea 13353

Editat de Derek Groen, Clélia de Mulatier, Maciej Paszynski, Valeria V. Krzhizhanovskaya, Jack J. Dongarra, Peter M. A. Sloot
en Limba Engleză Paperback – 22 iun 2022
The four-volume set LNCS 13350, 13351, 13352, and 13353 constitutes the proceedings of the 22ndt International Conference on Computational Science, ICCS 2022, held in London, UK, in June 2022.*
The total of 175 full papers and 78 short papers presented in this book set were carefully reviewed and selected from 474 submissions. 169 full and 36 short papers were accepted to the main track; 120 full and 42 short papers were accepted to the workshops/ thematic tracks.
*The conference was held in a hybrid format
Citește tot Restrânge

Din seria Lecture Notes in Computer Science

Preț: 75903 lei

Preț vechi: 94878 lei
-20%

Puncte Express: 1139
Paperback (4) de la 64724 lei

Carte tipărită la comandă

Livrare economică 27 mai-10 iunie

 Adaugă în coș

Wish list
Gift list
Am citit!
Adaugă în listă

Specificații

ISBN-13: 9783031087592
ISBN-10: 3031087593
Pagini: 796
Ilustrații: XXIII, 769 p. 297 illus., 258 illus. in color.
Dimensiuni: 155 x 235 x 43 mm
Greutate: 1.18 kg
Ediția:1st edition 2022
Editura: Springer
Colecția Lecture Notes in Computer Science
Seria Lecture Notes in Computer Science

Locul publicării:Cham, Switzerland

Textul de pe ultima copertă

The four-volume set LNCS 13350, 13351, 13352, and 13353 constitutes the proceedings of the 22ndt International Conference on Computational Science, ICCS 2022, held in London, UK, in June 2022. The total of 175 full papers and 78 short papers presented in this book set were carefully reviewed and selected from 474 submissions. 169 full and 36 short papers were accepted to the main track; 120 full and 42 short papers were accepted to the workshops/ thematic tracks.
*The conference was held in a hybrid format.
Chapter “GPU Accelerated Modelling and Forecasting for Large Time Series” is available open access under a Creative Commons Attribution 4.0 International License via link.springer.com.