Enhanced Double Inertial Forward–Backward Splitting Algorithm for Variational Inclusion Problems: Applications in Mathematical Integrated Skill Prediction

This paper introduces a new algorithm that combines the forward–backward splitting algorithms with a double inertial technique, utilizing the previous three iterations. The weak convergence theorem is established under certain mild conditions in a Hilbert space, including a relaxed inertial method i...

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Vydané v:	Symmetry (Basel) Ročník 16; číslo 8; s. 1091
Hlavní autori:	Jun-On, Nipa, Cholamjiak, Watcharaporn
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Basel MDPI AG 01.08.2024
Predmet:	Algorithms Asymmetry Data analysis Datasets Hilbert space Machine learning Real numbers Skills Splitting Students
ISSN:	2073-8994, 2073-8994
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