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International Journal of Computer Mathematics Volume 98, 2021 - Issue 6
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Original Articles

An inertial proximal alternating direction method of multipliers for nonconvex optimization

M. T. Chaoa College of Mathematics and Information Science, Guangxi University, Nanning, People's Republic of ChinaView further author information
,
Y. Zhanga College of Mathematics and Information Science, Guangxi University, Nanning, People's Republic of ChinaView further author information
&
J. B. Jianb College of Science, Guangxi University for Nationalities, Nanning, People's Republic of ChinaCorrespondence[email protected]
View further author information
Pages 1199-1217 | Received 09 Apr 2019, Accepted 07 Aug 2020, Published online: 11 Sep 2020

Citations (13)

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Xiaoquan Wang, Hu Shao, Pengjie Liu & Wenli Yang. (2023) An inertial proximal splitting method with applications. Optimization 0:0, pages 1-30.
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Articles from other publishers (12)

Kunyu Zhang, Hu Shao, Ting Wu & Xiaoquan Wang. (2024) A class of accelerated GADMM-based method for multi-block nonconvex optimization problems. Numerical Algorithms.
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Weiwei Kong & Renato D. C. Monteiro. (2024) Global Complexity Bound of a Proximal ADMM for Linearly Constrained Nonseparable Nonconvex Composite Programming. SIAM Journal on Optimization 34:1, pages 201-224.
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Yazheng Dang, Liyuan Chen & Yan Gao. (2024) Multi-block relaxed-dual linear inertial ADMM algorithm for nonconvex and nonsmooth problems with nonseparable structures. Numerical Algorithms.
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Miantao Chao, Yueqi Geng & Yongxin Zhao. (2023) A Method of Inertial Regularized ADMM for Separable Nonconvex Optimization Problems. Soft Computing 27:22, pages 16741-16757.
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Hui Zhang, Zhengpeng Yuan & Naihua Xiu. (2023) Recursion Newton-Like Algorithm for l 2,0 -ReLU Deep Neural Networks . IEEE Transactions on Neural Networks and Learning Systems 34:9, pages 5882-5896.
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Fanghui Bi, Xin Luo, Bo Shen, Hongli Dong & Zidong Wang. (2023) Proximal Alternating-Direction-Method-of-Multipliers-Incorporated Nonnegative Latent Factor Analysis. IEEE/CAA Journal of Automatica Sinica 10:6, pages 1388-1406.
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Yang Liu & Yazheng Dang. (2023) Convergence Analysis of Multiblock Inertial ADMM for Nonconvex Consensus Problem. Journal of Mathematics 2023, pages 1-12.
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Xiaoquan Wang, Hu Shao, Pengjie Liu & Ting Wu. (2023) An inertial proximal partially symmetric ADMM-based algorithm for linearly constrained multi-block nonconvex optimization problems with applications. Journal of Computational and Applied Mathematics 420, pages 114821.
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Soheila Ghoroghi Shafiei & Masoud Hajarian. (2022) An iterative method based on ADMM for solving generalized Sylvester matrix equations. Journal of the Franklin Institute 359:15, pages 8155-8170.
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Jiawei Xu & Miantao Chao. (2021) An inertial Bregman generalized alternating direction method of multipliers for nonconvex optimization. Journal of Applied Mathematics and Computing 68:3, pages 1-27.
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Junxiang Wang & Liang Zhao. 2022. Advances in Knowledge Discovery and Data Mining. Advances in Knowledge Discovery and Data Mining 30 43 .
Jinbao Jian, Pengjie Liu, Jianghua Yin, Chen Zhang & Miantao Chao. (2021) A QCQP-based splitting SQP algorithm for two-block nonconvex constrained optimization problems with application. Journal of Computational and Applied Mathematics 390, pages 113368.
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