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On the global and linear convergence of direct extension of ADMM for 3-block separable convex minimi...

On the global and linear convergence of direct extension of ADMM for 3-block separable convex minimi...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_4dd56ef4edc945dd8b2fe0eb64714aa9

On the global and linear convergence of direct extension of ADMM for 3-block separable convex minimization models

About this item

Full title

On the global and linear convergence of direct extension of ADMM for 3-block separable convex minimization models

Publisher

Cham: Springer International Publishing

Journal title

Journal of inequalities and applications, 2016-09, Vol.2016 (1), p.1-14, Article 227

Language

English

Formats

Publication information

Publisher

Cham: Springer International Publishing

More information

Scope and Contents

Contents

In this paper, we show that when the alternating direction method of multipliers (ADMM) is extended directly to the 3-block separable convex minimization problems, it is convergent if one block in the objective possesses sub-strong monotonicity which is weaker than strong convexity. In particular, we estimate the globally linear convergence rate of...

Alternative Titles

Full title

On the global and linear convergence of direct extension of ADMM for 3-block separable convex minimization models

Authors, Artists and Contributors

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_4dd56ef4edc945dd8b2fe0eb64714aa9

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_4dd56ef4edc945dd8b2fe0eb64714aa9

Other Identifiers

ISSN

1029-242X,1025-5834

E-ISSN

1029-242X

DOI

10.1186/s13660-016-1173-2

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