Parallel proximal point methods for systems of vector optimization problems on Hadamard manifolds without convexity. (1st February 2020)
- Record Type:
- Journal Article
- Title:
- Parallel proximal point methods for systems of vector optimization problems on Hadamard manifolds without convexity. (1st February 2020)
- Main Title:
- Parallel proximal point methods for systems of vector optimization problems on Hadamard manifolds without convexity
- Authors:
- Ceng, L. C.
Li, X.
Qin, X. - Abstract:
- ABSTRACT: In this paper, the local weak Pareto optimality conditions for nonsmooth vector optimization problems are presented on Hadamard manifolds. Some convergence results of the parallel proximal point algorithms for finding a solution of vector optimization problems are established.
- Is Part Of:
- Optimization. Volume 69:Number 2(2020)
- Journal:
- Optimization
- Issue:
- Volume 69:Number 2(2020)
- Issue Display:
- Volume 69, Issue 2 (2020)
- Year:
- 2020
- Volume:
- 69
- Issue:
- 2
- Issue Sort Value:
- 2020-0069-0002-0000
- Page Start:
- 357
- Page End:
- 383
- Publication Date:
- 2020-02-01
- Subjects:
- Systems of vector optimization problems -- Hadamard manifold -- parallel proximal point method
49M30 -- 90C26 -- 47J20
Mathematical optimization -- Periodicals
519.7 - Journal URLs:
- http://www.tandfonline.com/toc/gopt20/current ↗
http://www.tandfonline.com/ ↗ - DOI:
- 10.1080/02331934.2019.1625354 ↗
- 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:
- 12635.xml