On a system of monotone variational inclusion problems with fixed-point constraint
نویسندگان
چکیده
Abstract In this paper, we study the problem of finding solution system monotone variational inclusion problems recently introduced by Chang et al. (Optimization 70(12):2511–2525, 2020) with constraint a fixed-point set quasipseudocontractive mappings. We propose new iterative method that employs an inertial technique self-adaptive step size for approximating in Hilbert spaces and prove strong-convergence result proposed under more relaxed conditions. Moreover, apply our results to related optimization problems. Finally, present some numerical experiments demonstrate performance method, compare it as well experiment on dependency key parameters method.
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ژورنال
عنوان ژورنال: Journal of Inequalities and Applications
سال: 2022
ISSN: ['1025-5834', '1029-242X']
DOI: https://doi.org/10.1186/s13660-022-02782-4