A fundamental proof of convergence of alternating direction method of multipliers for weakly convex optimization
- Standort
-
Deutsche Nationalbibliothek Frankfurt am Main
- ISSN
-
1029-242X
- Umfang
-
Online-Ressource
- Sprache
-
Englisch
- Anmerkungen
-
online resource.
- Erschienen in
-
A fundamental proof of convergence of alternating direction method of multipliers for weakly convex optimization ; volume:2019 ; number:1 ; day:9 ; month:5 ; year:2019 ; pages:1-21 ; date:12.2019
Journal of inequalities and applications ; 2019, Heft 1 (9.5.2019), 1-21, 12.2019
- Urheber
-
Zhang, Tao
Shen, Zhengwei
- Beteiligte Personen und Organisationen
-
SpringerLink (Online service)
- DOI
-
10.1186/s13660-019-2080-0
- URN
-
urn:nbn:de:101:1-2019090119522038120720
- Rechteinformation
-
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
-
15.08.2025, 07:25 MESZ
Datenpartner
Dieses Objekt wird bereitgestellt von:
Deutsche Nationalbibliothek. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Deutsche Nationalbibliothek. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Beteiligte
- Zhang, Tao
- Shen, Zhengwei
- SpringerLink (Online service)
Ähnliche Objekte (12)
An Adaptive Alternating Direction Method of Multipliers
A symmetric version of the generalized alternating direction method of multipliers for two-block separable convex programming
On Convergence Rates of Proximal Alternating Direction Method of Multipliers
A Survey on Some Recent Developments of Alternating Direction Method of Multipliers
Convergence analysis on a modified generalized alternating direction method of multipliers
The exact worst-case convergence rate of the alternating direction method of multipliers
A regularized alternating direction method of multipliers for a class of nonconvex problems
Quantitative susceptibility mapping using plug-and-play alternating direction method of multipliers
Compressed sensing MRI via fast linearized preconditioned alternating direction method of multipliers
An interior point-proximal method of multipliers for convex quadratic programming
Compression of Deep-Learning Models Through Global Weight Pruning Using Alternating Direction Method of Multipliers
The convergence rate of the proximal alternating direction method of multipliers with indefinite proximal regularization
An Adaptive Alternating Direction Method of Multipliers
A symmetric version of the generalized alternating direction method of multipliers for two-block separable convex programming
On Convergence Rates of Proximal Alternating Direction Method of Multipliers
A Survey on Some Recent Developments of Alternating Direction Method of Multipliers
Convergence analysis on a modified generalized alternating direction method of multipliers
The exact worst-case convergence rate of the alternating direction method of multipliers
A regularized alternating direction method of multipliers for a class of nonconvex problems
Quantitative susceptibility mapping using plug-and-play alternating direction method of multipliers
Compressed sensing MRI via fast linearized preconditioned alternating direction method of multipliers
An interior point-proximal method of multipliers for convex quadratic programming
Compression of Deep-Learning Models Through Global Weight Pruning Using Alternating Direction Method of Multipliers
The convergence rate of the proximal alternating direction method of multipliers with indefinite proximal regularization
An Adaptive Alternating Direction Method of Multipliers
A symmetric version of the generalized alternating direction method of multipliers for two-block separable convex programming
On Convergence Rates of Proximal Alternating Direction Method of Multipliers
A Survey on Some Recent Developments of Alternating Direction Method of Multipliers
Convergence analysis on a modified generalized alternating direction method of multipliers
The exact worst-case convergence rate of the alternating direction method of multipliers
A regularized alternating direction method of multipliers for a class of nonconvex problems
Quantitative susceptibility mapping using plug-and-play alternating direction method of multipliers
Compressed sensing MRI via fast linearized preconditioned alternating direction method of multipliers
An interior point-proximal method of multipliers for convex quadratic programming
Compression of Deep-Learning Models Through Global Weight Pruning Using Alternating Direction Method of Multipliers