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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Vydané v:	Physica A Ročník 611; s. 128472
Hlavní autori:	Cardone, Angelamaria, De Luca, Pasquale, Galletti, Ardelio, Marcellino, Livia
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Elsevier B.V 01.02.2023
Predmet:	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
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