Forward–Reflected–Backward Splitting Algorithms with Momentum: Weak, Linear and Strong Convergence Results

This paper studies the forward–reflected–backward splitting algorithm with momentum terms for monotone inclusion problem of the sum of a maximal monotone and Lipschitz continuous monotone operators in Hilbert spaces. The forward–reflected–backward splitting algorithm is an interesting algorithm for...

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Vydané v:	Journal of optimization theory and applications Ročník 201; číslo 3; s. 1364 - 1397
Hlavní autori:	Yao, Yonghong, Adamu, Abubakar, Shehu, Yekini
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	New York Springer US 01.06.2024 Springer Nature B.V
Predmet:	Algorithms Applications of Mathematics Calculus of Variations and Optimal Control; Optimization Convergence Engineering Hilbert space Mathematics Mathematics and Statistics Momentum Operations Research/Decision Theory Operators (mathematics) Optimization Splitting Theory of Computation 68Q25 Monotone inclusion 90C30 Forward–reflected–backward splitting algorithm 68T05 90C25 Weak, linear and strong convergence Momentum terms 92B20
ISSN:	0022-3239, 1573-2878
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