全部文献期刊会议图书|学者科研项目
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作者:Benxin Zhang , Zhibin Zhu
来源:[J].Journal of Inequalities and Applications(IF 0.822), 2017, Vol.2017 (1)
摘要:In this study, we introduce a primal-dual prediction-correction algorithm framework for convex optimization problems with known saddle-point structure. Our unified frame adds the proximal term with a positive definite weighting matrix. Moreover, different proximal parameters in t...
作者:Benxin Zhang , Zhibin Zhu , Chuanpei Xu
来源:[J].Applied Numerical Mathematics(IF 1.152), 2019, Vol.145, pp.145-158
摘要:Abstract(#br)In this paper, we propose a novel primal-dual multiplier method for total variation minimization problems. The new idea combining Lagrange dual and total variation dual is presented. Convergence of the proposed algorithms is easily obtained from the proximal point al...
作者:... Zheng Xu , Junzhou Huang , Benxin Zhang
来源:[J].Neurocomputing(IF 1.634), 2018, Vol.289, pp.1-12
摘要:Abstract(#br)We propose a simple primal-dual method for nuclear norm plus total variation minimization problems. A predictor-corrector scheme to the dual variable is used in our algorithm. Convergence of the method is proved and convergence rate which is O (1/ N ) in the ergodic ...
作者:Benxin Zhang , Zhibin Zhu , Shuo Wang
来源:[J].Journal of Visual Communication and Image Representation(IF 1.195), 2016, Vol.38, pp.814-823
摘要:Abstract(#br)In this study we propose a simple primal–dual method for total variation minimization problems. A predictor–corrector scheme to the dual variable is used in our algorithms and convergence of the method is proved. We also show that the iterative scheme has O ( 1 ...
作者:Benxin Zhang , Zhibin Zhu , Shuang’an Li
来源:[J].Applied Mathematics Letters(IF 1.501), 2014, Vol.27, pp.26-35
摘要:Abstract(#br)In this study, a modified spectral conjugate gradient projection method is presented to solve total variation image restoration, which is transferred into the nonlinear constrained optimization with the closed constrained set. The global convergence of the proposed s...
作者:Zhibin Zhu , Huajun Wang , Benxin Zhang
来源:[J].Inverse Problems in Science and Engineering(IF 0.754), 2018, Vol.26 (11), pp.1561-1589
摘要:Abstract(#br)In this study, a new spectral conjugate gradient method is presented to solve nonlinear inverse problems, which transferred into the unconstrained nonlinear optimization with a neighbour term. The global convergence and regularizing properties of the proposed method ...
作者:Benxin Zhang , Zhibin Zhu
来源:[J].Journal of Inequalities and Applications(IF 0.822), 2017, Vol.2017 (1), pp.1-16
摘要:Abstract In this study, we introduce a primal-dual prediction-correction algorithm framework for convex optimization problems with known saddle-point structure. Our unified frame adds the proximal term with a positive definite weighting matrix. Moreover, different proximal parame...

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