Accelerated forward–backward algorithms for structured monotone inclusions

In this paper, we develop rapidly convergent forward–backward algorithms for computing zeroes of the sum of two maximally monotone operators. A modification of the classical forward–backward method is considered, by incorporating an inertial term (closed to the acceleration techniques introduced by...

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Vydané v:	Computational optimization and applications Ročník 88; číslo 1; s. 167 - 215
Hlavní autori:	Maingé, Paul-Emile, Weng-Law, André
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	New York Springer US 01.05.2024 Springer Nature B.V Springer Verlag
Predmet:	Acceleration Algorithms Convergence Convex and Discrete Geometry Hilbert space Inclusions Management Science Mathematics Mathematics and Statistics Operations Research Operations Research/Decision Theory Optimization Preconditioning Saddle points Statistics Optimal gradient method Inertial-type algorithm Nesterov-type algorithm Restarting techniques Global rate of convergence 90C25 65F22 90C06 Fast first-order method global rate of convergence restarting techniques fast first-order method inertial-type algorithm optimal gradient method
ISSN:	0926-6003, 1573-2894
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