Weak convergence of a modified subgradient extragradient algorithm for monotone variational inequalities in Banach spaces
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Authors
Ying Liu
- College of Mathematics and Information Science, Hebei University, Baoding, Hebei, 071002, China.
Hang Kong
- College of Mathematics and Information Science, Hebei University, Baoding, Hebei, 071002, China.
Abstract
Applying the generalized projection operator, we introduce a modified subgradient extragradient algorithm in Banach spaces for a variational inequality involving a monotone Lipschitz continuous
mapping which is more general than an inverse-strongly-monotone mapping. Weak convergence of the iterative algorithm is also proved. An advantage of the algorithm is the computation of only one value of the inequality
mapping and one projection onto the admissible set per one iteration.
Share and Cite
ISRP Style
Ying Liu, Hang Kong, Weak convergence of a modified subgradient extragradient algorithm for monotone variational inequalities in Banach spaces, Journal of Nonlinear Sciences and Applications, 10 (2017), no. 10, 5483--5494
AMA Style
Liu Ying, Kong Hang, Weak convergence of a modified subgradient extragradient algorithm for monotone variational inequalities in Banach spaces. J. Nonlinear Sci. Appl. (2017); 10(10):5483--5494
Chicago/Turabian Style
Liu, Ying, Kong, Hang. "Weak convergence of a modified subgradient extragradient algorithm for monotone variational inequalities in Banach spaces." Journal of Nonlinear Sciences and Applications, 10, no. 10 (2017): 5483--5494
Keywords
- Subgradient extragradient method
- generalized projection operator
- monotone mapping
- variational inequality
- Lipschitz continuous
- weakly sequentially continuous
MSC
- 47H09
- 47H05
- 47H06
- 47J25
- 47J05
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