Global convergence of unmodified 3-block ADMM for a class of convex minimization problems (Q1668709)

scientific article

Language	Label	Description	Also known as
English	Global convergence of unmodified 3-block ADMM for a class of convex minimization problems	scientific article

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scholarly article

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title

Global convergence of unmodified 3-block ADMM for a class of convex minimization problems (English)

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published in

Journal of Scientific Computing

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publication date

29 August 2018

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full work available at URL

https://arxiv.org/abs/1505.04252

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zbMATH Keywords

ADMM

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global convergence

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convex minimization

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regularized least squares decomposition

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RASL

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MaRDI profile type

MaRDI publication profile

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cites work

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

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The direct extension of ADMM for multi-block convex minimization problems is not necessarily convergent

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Parallel multi-block ADMM with $o(1/k)$ convergence

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Q3038523

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A note on the alternating direction method of multipliers

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A splitting method for separable convex programming

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On the Global Linear Convergence of the ADMM with MultiBlock Variables

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Convergence Analysis of Alternating Direction Method of Multipliers for a Family of Nonconvex Problems

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Global Convergence of Splitting Methods for Nonconvex Composite Optimization

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A Convergent $3$-Block Semi-Proximal ADMM for Convex Minimization Problems with One Strongly Convex Block

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Median filtering‐based methods for static background extraction from surveillance video

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On the sublinear convergence rate of multi-block ADMM

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Iteration complexity analysis of multi-block ADMM for a family of convex minimization without strong convexity

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Splitting Algorithms for the Sum of Two Nonlinear Operators

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Iteration-Complexity of Block-Decomposition Algorithms and the Alternating Direction Method of Multipliers

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A Convergent 3-Block SemiProximal Alternating Direction Method of Multipliers for Conic Programming with 4-Type Constraints

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Recovering Low-Rank and Sparse Components of Matrices from Incomplete and Noisy Observations

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Q4864293

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Solving Multiple-Block Separable Convex Minimization Problems Using Two-Block Alternating Direction Method of Multipliers

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Alternating direction augmented Lagrangian methods for semidefinite programming

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Compressive principal component pursuit

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Alternating Direction Algorithms for $\ell_1$-Problems in Compressive Sensing

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Identifiers

zbMATH Open document ID

1415.65140

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DOI

10.1007/s10915-017-0612-7

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Mathematics Subject Classification ID

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Sitelinks

Mathematics(1 entry)

mardi Publication:1668709