Linearized symmetric multi-block ADMM with indefinite proximal regularization and optimal proximal parameter

CALCOLO ◽

10.1007/s10092-020-00387-1 ◽

2020 ◽

Vol 57 (4) ◽

Author(s):

Xiaokai Chang ◽

Jianchao Bai ◽

Dunjiang Song ◽

Sanyang Liu

Keyword(s):

Proximal Regularization

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Solution of a semicoercive Signorini problem by a method of iterative proximal regularization of a modified Lagrange functional

Russian Mathematics ◽

10.3103/s1066369x10040043 ◽

2010 ◽

Vol 54 (4) ◽

pp. 31-39

Author(s):

R. V. Namm ◽

A. S. Tkachenko

Keyword(s):

Signorini Problem ◽

Proximal Regularization ◽

Lagrange Functional

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An inexact proximal regularization method for unconstrained optimization

Mathematical Methods of Operations Research ◽

10.1007/s00186-016-0561-1 ◽

2016 ◽

Vol 85 (1) ◽

pp. 43-59 ◽

Author(s):

Paul Armand ◽

Isaï Lankoandé

Keyword(s):

Unconstrained Optimization ◽

Regularization Method ◽

Proximal Regularization ◽

Inexact Proximal

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Fusion of Hyperspectral and Multispectral Images With Sparse and Proximal Regularization

IEEE Access ◽

10.1109/access.2019.2961240 ◽

2019 ◽

Vol 7 ◽

pp. 186352-186363

Author(s):

Feixia Yang ◽

Ziliang Ping ◽

Fei Ma ◽

Yanwei Wang

Keyword(s):

Multispectral Images ◽

Proximal Regularization

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Proximal regularization for online and batch learning

Proceedings of the 26th Annual International Conference on Machine Learning - ICML '09 ◽

10.1145/1553374.1553407 ◽

2009 ◽

Author(s):

Chuong B. Do ◽

Quoc V. Le ◽

Chuan-Sheng Foo

Keyword(s):

Batch Learning ◽

Proximal Regularization

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The augmented Lagrangian method with full Jacobian decomposition and logarithmic-quadratic proximal regularization for multiple-block separable convex programming

SMAI Journal of Computational Mathematics ◽

10.5802/smai-jcm.30 ◽

2018 ◽

Vol 4 ◽

pp. 81-120

Author(s):

Min Li ◽

Xiaoming Yuan

Keyword(s):

Convex Programming ◽

Augmented Lagrangian ◽

Augmented Lagrangian Method ◽

Lagrangian Method ◽

Separable Convex Programming ◽

Proximal Regularization ◽

Jacobian Decomposition

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A proximal regularization of the steepest descent method

RAIRO - Operations Research ◽

10.1051/ro/1995290201231 ◽

1995 ◽

Vol 29 (2) ◽

pp. 123-130 ◽

Author(s):

A. N. Iusem ◽

B. F. Svaiter

Keyword(s):

Descent Method ◽

Steepest Descent ◽

Steepest Descent Method ◽

Proximal Regularization

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An alternate minimization method beyond positive definite proximal regularization: convergence and complexity

Journal of Nonlinear and Variational Analysis ◽

10.23952/jnva.3.2019.3.08 ◽

2019 ◽

Vol 3 (3) ◽

Keyword(s):

Positive Definite ◽

Minimization Method ◽

Proximal Regularization

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Mixing proximal regularization, penalization and parallel decomposition in convex programming

Lecture Notes in Economics and Mathematical Systems - Advances in Optimization ◽

10.1007/978-3-642-51682-5_7 ◽

1992 ◽

pp. 85-99

Author(s):

P. Tossings

Keyword(s):

Convex Programming ◽

Parallel Decomposition ◽

Proximal Regularization

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Proximal regularization for the saddle point gradient dynamics

IEEE Transactions on Automatic Control ◽

10.1109/tac.2020.3045124 ◽

2020 ◽

pp. 1-1

Author(s):

Diego Goldsztajn ◽

Fernando Paganini

Keyword(s):

Saddle Point ◽

Gradient Dynamics ◽

Proximal Regularization

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Iterative proximal regularization of the modified Lagrangian functional for solving the quasi-variational Signorini inequality

Computational Mathematics and Mathematical Physics ◽

10.1134/s0965542508090054 ◽

2008 ◽

Vol 48 (9) ◽

pp. 1536-1544

Author(s):

E. M. Vikhtenko ◽

R. V. Namm

Keyword(s):

Lagrangian Functional ◽

Modified Lagrangian Functional ◽

Proximal Regularization

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