Operations Research Transactions ›› 2023, Vol. 27 ›› Issue (3): 37-52.doi: 10.15960/j.cnki.issn.1007-6093.2023.03.003
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Jianwen PENG1,*(), Hongwang LEI1
Received:
2021-04-21
Online:
2023-09-15
Published:
2023-09-14
Contact:
Jianwen PENG
E-mail:jwpeng168@hotmail.com
CLC Number:
Jianwen PENG, Hongwang LEI. A class of inertial symmetric regularization alternating direction method of multipliers for nonconvex two-block optimization[J]. Operations Research Transactions, 2023, 27(3): 37-52.
1 |
AlexanderG J,RachfordH H.On the numerical solution of the heat conduction problem in 2 and 3 space variables[J].Transations of the American Mathematical Society,1956,82(2):421-439.
doi: 10.1090/S0002-9947-1956-0084194-4 |
2 |
ChaoM T,ChenC Z,ZhangH B.A linearized alternating direction method of multipliers with substitution procedure[J].Asia Pacific Journal of Operational Research,2015,32(3):1550011.
doi: 10.1142/S0217595915500116 |
3 | GlowinskiR.Numerical Methods for Nonlinear Variational Problems[M].New York:Springer-Verlag,1984. |
4 | Gu Y, Jiang B, Han D R. A semi-proximal-based strictly contractive Peaceman-Rachford splitting method[J]. 2015, arXiv: 1506.02221. |
5 |
HanD R,YuanX M.A not on the alternating direction method of multipliers[J].SIAM Journal on Numerical Analysis,2013,51(6):3446-3457.
doi: 10.1137/120886753 |
6 |
HeB S,MaF,YuanX M.Convergence study on the symmetric version of ADMM with larger step sizes[J].SIAM Journal on Imaging Sciences,2016,9(3):1467-1501.
doi: 10.1137/15M1044448 |
7 |
YangW H,HanD R.Linear convergence of the alternating direction method of multipliers for a class of convex optimization problems[J].SIAM Journal on Numerical Analysis,2016,54(2):625-640.
doi: 10.1137/140974237 |
8 |
LionP,MercierB.Splitting algorithms for the sum of two nonlinear operators[J].SIAM Journal on Numerical Analysis,1979,16(6):964-979.
doi: 10.1137/0716071 |
9 |
PeacemanD W,RachfordH H.The numerical solution of parabolic and elliptic differential equations[J].Journal of the Society for Industrial and Applied Mathematics,1955,3(1):28-41.
doi: 10.1137/0103003 |
10 | Bai J C, Liang J L, Guo K, et al. Accelerated symmetric ADMM and its applications in signal processing[J]. 2019, arXiv: 1906.12015. |
11 |
GuoK,HanD R,WuT T.Convergence of alternating direction method for minimizing sum of two nonconvex functions with linear constraints[J].International Journal of Computer Mathematics,2017,94(8):1653-1669.
doi: 10.1080/00207160.2016.1227432 |
12 | Wang F, Xu Z B, Xu H K. Convergence of Bregman alternating direction method with multipliers for nonconvex composite problems[J]. 2014, arXiv: 1410.8625. |
13 |
LiuM X,JianJ B.An ADMM-based SQP method for separably smooth nonconvex optimization[J].Journal of Inequalities and Applications,2020,2020(1):1-17.
doi: 10.1186/s13660-019-2265-6 |
14 |
JianJ B,ZhangY,ChaoM T.A regularized alternating direction method of multiplier for a class of nonconvex problems[J].Journal of Inequalities and Applications,2019,2019(1):1-16.
doi: 10.1186/s13660-019-1955-4 |
15 | BotR I,NguyenD K.The proximal alternating direction method of multipliers in the nonconvex setting: convergence analysis and rates[J].Mathematics of Operation Research,2018,45(2):1-13. |
16 |
WuZ M,LiM,WangD,et al.A symmetric alternating direction method of multipliers for separable nonconvex minimization problems[J].Asia Pacific Journal of Operational Research,2017,34(6):1750030.
doi: 10.1142/S0217595917500300 |
17 |
WangY,YinW T,ZengJ S.Global convergence of ADMM in nonconvex nonsmooth optimization[J].Journal of Scientific Computing,2018,2018,1-35.
doi: 10.7561/SACS.2018.1.1 |
18 | 简金宝,刘鹏杰,江羡珍.非凸多分块优化部分对称正则化交替方向乘子法[J].数学学报,2021,64(6):1005-1026. |
19 |
BotR I,CsetnekE R,LaszloS C.An inertial forward-backward algorithm for the minimization of the sum of two nonconvex functions[J].Euro Journal on Computational Optimization,2016,4(1):3-25.
doi: 10.1007/s13675-015-0045-8 |
20 |
AlvarezF.Weak convergence of a relaxed and inertial hybrid projection-proximal point algorithm for maximal monotone operators in Hilbert space[J].SIAM Journal on Optimization,2004,14(3):773-782.
doi: 10.1137/S1052623403427859 |
21 | MoudafiA,ElizabethE.Approximate inertial proximal methods using the enlargement of maximal monotone operators[J].International Journal of Pure and Applied Mathematics,2003,5(3):283-299. |
22 | WuZ M,LiC,LiM.Inertial proximal gradient methods with Bregman regularization for a class of nonconvex optimization problems[J].Journal of Global Optimization,2020,2020(6):1-28. |
23 |
ChaoM T,ZhangY,JianJ B.An inertial proximal alternating direction method of multipliers for nonconvex optimization[J].International Journal of Computer Mathematics,2021,98(6):1199-1217.
doi: 10.1080/00207160.2020.1812585 |
24 |
AlvarezF.On the minimizing property of a second order dissipative system in Hilbert space[J].SIAM Journal on Control and Optimization,2000,38(4):1102-1119.
doi: 10.1137/S0363012998335802 |
25 |
XuZ B,ChangX,XuF,et al.$l$-$1/2$ regularization: a thresholding representation theory and a fast solver[J].IEEE Transactions on Neural Networks and Learning Systems,2012,23(7):1013-1027.
doi: 10.1109/TNNLS.2012.2197412 |
26 | ZengJ,FangJ,XuZ B.Sparse SAR imaging based on $l$-$1/2$ regularization[J].Science China Information Sciences,2012,55(8):39-59. |
27 | Arunachalam S, Saranya R, Sangeetha N. Hybrid artificial bee colony algorithm and simulated annealing algorithm for combined economic and emission dispatch including valve point effect[C]// International Conference on Swarm, Evolutionary, and Memetic Computing, 2013: 1-32. |
28 | RockafellarR T,WetsR J B.Variational Analysis[M].Berlin:Springer Science and Business Media,2009. |
29 | AttouchH,BolteJ,SvaiterB F.Convergence of descent methods for semi-algebraic and tame problems: proximal algorithms, forward-backward splitting and regularized Gauss-Seidel methods[J].Mathematical Programming,2013,137(1/2):91-129. |
30 | WangF H,CaoW F,XuZ B.Convergence of multi-block Bregman ADMM for nonconvex composite problems[J].Science China Information Sciences,2018,61(12):1-12. |
31 | NesterovY.Introductory Lectures on Convex Optimization: A Basic Course[M].New York:Springer,2004. |
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