Strong convergence theorems for solving pseudo-monotone variational inequality problems and applications. (2nd December 2022)
- Record Type:
- Journal Article
- Title:
- Strong convergence theorems for solving pseudo-monotone variational inequality problems and applications. (2nd December 2022)
- Main Title:
- Strong convergence theorems for solving pseudo-monotone variational inequality problems and applications
- Authors:
- Liu, Liya
Qin, Xiaolong - Abstract:
- Abstract : In this paper, we introduce two different kinds of iterative algorithms, which are based on the inertial Tseng's method and the viscosity method. They are intended to solve the variational inequality problems governed by the mappings of pseudo-monotone type. Strong convergence theorems are established in Hilbert spaces. Practical examples in fuzzy environment are given to show the applicability and effectiveness of the proposed algorithms.
- Is Part Of:
- Optimization. Volume 71:Number 12(2022)
- Journal:
- Optimization
- Issue:
- Volume 71:Number 12(2022)
- Issue Display:
- Volume 71, Issue 12 (2022)
- Year:
- 2022
- Volume:
- 71
- Issue:
- 12
- Issue Sort Value:
- 2022-0071-0012-0000
- Page Start:
- 3603
- Page End:
- 3626
- Publication Date:
- 2022-12-02
- Subjects:
- Variational inequality -- inertial extrapolation -- pseudomonotonicity -- fuzzy programming model -- Tseng's method
Mathematical optimization -- Periodicals
519.7 - Journal URLs:
- http://www.tandfonline.com/toc/gopt20/current ↗
http://www.tandfonline.com/ ↗ - DOI:
- 10.1080/02331934.2021.1905641 ↗
- Languages:
- English
- ISSNs:
- 0233-1934
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 6275.100000
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 24216.xml