Hybrid steepest-descent methods for systems of variational inequalities with constraints of variational inclusions and convex minimization problems
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Authors
Zhao-Rong Kong
- Economics Management Department, Shanghai University of Political Science and Law, Shanghai 201701, China.
Lu-Chuan Ceng
- Department of Mathematics, Shanghai Normal University, and Scientific Computing Key Laboratory of Shanghai Universities, Shanghai 200234, China.
Yeong-Cheng Liou
- Department of Healthcare Administration and Medical Informatics, and Research Center for Nonlinear Analysis and Optimization, Kaohsiung Medical University, Kaohsiung 807, Taiwan.
Ching-Feng Wen
- Center for Fundamental Science, and Research Center for Nonlinear Analysis and Optimization, Kaohsiung Medical University, Kaohsiung, 80708, Taiwan.
- Department of Medical Research, Kaohsiung Medical University Hospital, Kaohsiung 807, Taiwan.
Abstract
Two hybrid steepest-descent schemes (implicit and explicit) for finding a solution of the general system of variational
inequalities (in short, GSVI) with the constraints of finitely many variational inclusions for maximal monotone and inversestrongly
monotone mappings and a minimization problem for a convex and continuously Fréchet differentiable functional (in
short, CMP) have been presented in a real Hilbert space. We establish the strong convergence of these two hybrid steepestdescent
schemes to the same solution of the GSVI, which is also a common solution of these finitely many variational inclusions
and the CMP. Our results extend, improve, complement and develop the corresponding ones given by some authors recently in
this area.
Share and Cite
ISRP Style
Zhao-Rong Kong, Lu-Chuan Ceng, Yeong-Cheng Liou, Ching-Feng Wen, Hybrid steepest-descent methods for systems of variational inequalities with constraints of variational inclusions and convex minimization problems, Journal of Nonlinear Sciences and Applications, 10 (2017), no. 3, 874--901
AMA Style
Kong Zhao-Rong, Ceng Lu-Chuan, Liou Yeong-Cheng, Wen Ching-Feng, Hybrid steepest-descent methods for systems of variational inequalities with constraints of variational inclusions and convex minimization problems. J. Nonlinear Sci. Appl. (2017); 10(3):874--901
Chicago/Turabian Style
Kong, Zhao-Rong, Ceng, Lu-Chuan, Liou, Yeong-Cheng, Wen, Ching-Feng. "Hybrid steepest-descent methods for systems of variational inequalities with constraints of variational inclusions and convex minimization problems." Journal of Nonlinear Sciences and Applications, 10, no. 3 (2017): 874--901
Keywords
- Hybrid steepest-descent method
- system of variational inequalities
- variational inclusion
- monotone mapping.
MSC
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