Home > Publications database > Editorial: High-performance tensor computations in scientific computing and data science > print |
001 | 911758 | ||
005 | 20230123110742.0 | ||
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100 | 1 | _ | |a Di Napoli, Edoardo |0 P:(DE-Juel1)144723 |b 0 |e Corresponding author |
245 | _ | _ | |a Editorial: High-performance tensor computations in scientific computing and data science |
260 | _ | _ | |a Lausanne |c 2022 |b Frontiers Media |
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700 | 1 | _ | |a Bientinesi, Paolo |0 P:(DE-HGF)0 |b 1 |
700 | 1 | _ | |a Li, Jiajia |0 P:(DE-HGF)0 |b 2 |
700 | 1 | _ | |a Uschmajew, André |0 P:(DE-HGF)0 |b 3 |
773 | _ | _ | |a 10.3389/fams.2022.1038885 |g Vol. 8, p. 1038885 |0 PERI:(DE-600)2823454-6 |p 1038885 |t Frontiers in applied mathematics and statistics |v 8 |y 2022 |x 2297-4687 |
856 | 4 | _ | |u https://juser.fz-juelich.de/record/911758/files/fams-08-1038885.pdf |y OpenAccess |
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