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...

Full description

Saved in:

Bibliographic Details
Published in:	Symmetry (Basel) Vol. 16; no. 8; p. 1091
Main Authors:	Jun-On, Nipa, Cholamjiak, Watcharaporn
Format:	Journal Article
Language:	English
Published:	Basel MDPI AG 01.08.2024
Subjects:	Algorithms Asymmetry Data analysis Datasets Hilbert space Machine learning Real numbers Skills Splitting Students
ISSN:	2073-8994, 2073-8994
Online Access:	Get full text
Tags:	Add Tag No Tags, Be the first to tag this record!

Be the first to leave a comment!