Contraction mapping fixed point algorithms for solving multivalued mixed variational inequalities
Pham Ngoc Anh () and
Dung Muu ()
Additional contact information
Pham Ngoc Anh: Posts and Telecommunications Institute of Technology
Dung Muu: Institute of Mathematics
A chapter in Optimization with Multivalued Mappings, 2006, pp 231-249 from Springer
Abstract:
Summary We show how to choose regularization parameters such that the solution of a multivalued strongly monotone mixed variational inequality can be obtained by computing the fixed point of a certain multivalued mapping having a contraction selection. Moreover a solution of a multivalued cocoercive variational inequality can be computed by finding a fixed point of a certain mapping having nonexpansive selection. By the Banach contraction mapping principle it is easy to establish the convergence rate.
Keywords: Multivalued mixed variational inequality; cocoerciveness; contraction and nonexpansiveness; Banach fixed point method (search for similar items in EconPapers)
Date: 2006
References: Add references at CitEc
Citations:
There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:spr:spochp:978-0-387-34221-4_11
Ordering information: This item can be ordered from
http://www.springer.com/9780387342214
DOI: 10.1007/0-387-34221-4_11
Access Statistics for this chapter
More chapters in Springer Optimization and Its Applications from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().