Solving Time-Fractional reaction–diffusion systems through a tensor-based parallel algorithm

Machine Learning (ML) approach is a discussed research topic because of its benefit in several research fields. The most important issues in the training process of ML are accuracy and speed: a suitable mathematical model is critical and a fast data processing is mandatory. Fractional Calculus is in...

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Veröffentlicht in:	Physica A Jg. 611; S. 128472
Hauptverfasser:	Cardone, Angelamaria, De Luca, Pasquale, Galletti, Ardelio, Marcellino, Livia
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier B.V 01.02.2023
Schlagworte:	GPU computing Machine Learning Numerical methods Parallel algorithm Reaction–diffusion systems Parallel algorithm Reaction–diffusion systems 65M70 65M06 Numerical methods 35R11 65Y05 Machine Learning GPU computing
ISSN:	0378-4371, 1873-2119
Online-Zugang:	Volltext
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