The Conjugate Gradient Viscosity Approximation Algorithm for Split Generalized Equilibrium and Variational Inequality Problems

Joint Authors

Li, Meixia
Tan, Jingjing
Che, Haitao

Source

Journal of Function Spaces

Issue

Vol. 2018, Issue 2018 (31 Dec. 2018), pp.1-14, 14 p.

Publisher

Hindawi Publishing Corporation

Publication Date

2018-11-01

Country of Publication

Egypt

No. of Pages

14

Main Subjects

Mathematics

Abstract EN

In this paper, we study a kind of conjugate gradient viscosity approximation algorithm for finding a common solution of split generalized equilibrium problem and variational inequality problem.

Under mild conditions, we prove that the sequence generated by the proposed iterative algorithm converges strongly to the common solution.

The conclusion presented in this paper is the generalization, extension, and supplement of the previously known results in the corresponding references.

Some numerical results are illustrated to show the feasibility and efficiency of the proposed algorithm.

American Psychological Association (APA)

Li, Meixia& Che, Haitao& Tan, Jingjing. 2018. The Conjugate Gradient Viscosity Approximation Algorithm for Split Generalized Equilibrium and Variational Inequality Problems. Journal of Function Spaces،Vol. 2018, no. 2018, pp.1-14.
https://search.emarefa.net/detail/BIM-1186579

Modern Language Association (MLA)

Li, Meixia…[et al.]. The Conjugate Gradient Viscosity Approximation Algorithm for Split Generalized Equilibrium and Variational Inequality Problems. Journal of Function Spaces No. 2018 (2018), pp.1-14.
https://search.emarefa.net/detail/BIM-1186579

American Medical Association (AMA)

Li, Meixia& Che, Haitao& Tan, Jingjing. The Conjugate Gradient Viscosity Approximation Algorithm for Split Generalized Equilibrium and Variational Inequality Problems. Journal of Function Spaces. 2018. Vol. 2018, no. 2018, pp.1-14.
https://search.emarefa.net/detail/BIM-1186579

Data Type

Journal Articles

Language

English

Notes

Includes bibliographical references

Record ID

BIM-1186579