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Inertial-relaxed splitting for composite monotone inclusions - MaRDI portal

Inertial-relaxed splitting for composite monotone inclusions (Q6114897)

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scientific article; zbMATH DE number 7711221

Language	Label	Description	Also known as
English	Inertial-relaxed splitting for composite monotone inclusions	scientific article; zbMATH DE number 7711221

Statements

scholarly article

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Inertial-relaxed splitting for composite monotone inclusions (English)

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OJMO. Open Journal of Mathematical Optimization

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publication date

12 July 2023

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zbMATH Keywords

operator splitting methods

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convex composite optimization

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MaRDI profile type

MaRDI publication profile

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An inertial proximal method for maximal monotone operators via discretization of a nonlinear oscillator with damping

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Relative-error inertial-relaxed inexact versions of Douglas-Rachford and ADMM splitting algorithms

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Iteration complexity of an inexact Douglas-Rachford method and of a Douglas-Rachford-Tseng's F-B four-operator splitting method for solving monotone inclusions

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Convex analysis and monotone operator theory in Hilbert spaces

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Distributed Optimization and Statistical Learning via the Alternating Direction Method of Multipliers

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A primal-dual partial inverse algorithm for constrained monotone inclusions: applications to stochastic programming and mean field games

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Primal-dual splittings as fixed point iterations in the range of linear operators

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A first-order primal-dual algorithm for convex problems with applications to imaging

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A primal-dual splitting method for convex optimization involving Lipschitzian, proximable and linear composite terms

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Proximal Splitting Algorithms for Convex Optimization: A Tour of Recent Advances, with New Twists

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Convergence Rate Analysis of Several Splitting Schemes

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A three-operator splitting scheme and its optimization applications

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On the Douglas-Rachford splitting method and the proximal point algorithm for maximal monotone operators

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A dual algorithm for the solution of nonlinear variational problems via finite element approximation

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New Proximal Point Algorithms for Convex Minimization

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Optimally linearizing the alternating direction method of multipliers for convex programming

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A Majorized ADMM with Indefinite Proximal Terms for Linearly Constrained Convex Composite Optimization

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Augmented Lagrangians and Applications of the Proximal Point Algorithm in Convex Programming

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Rate of Convergence Analysis of Decomposition Methods Based on the Proximal Method of Multipliers for Convex Minimization

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A splitting algorithm for dual monotone inclusions involving cocoercive operators

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A new primal-dual algorithm for minimizing the sum of three functions with a linear operator

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Identifiers

zbMATH Open document ID

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10.5802/ojmo.22

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Mathematics Subject Classification ID

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zbMATH DE Number

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Sitelinks

Mathematics(1 entry)

mardi Publication:6114897

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