Weak convergence of iterative methods for solving quasimonotone variational inequalities

E-resources

Peer reviewed

Weak convergence of iterative methods for solving quasimonotone variational inequalities

Liu, Hongwei; Yang, Jun

Computational optimization and applications, 11/2020, Volume: 77, Issue: 2

Journal Article

In this work, we introduce self-adaptive methods for solving variational inequalities with Lipschitz continuous and quasimonotone mapping(or Lipschitz continuous mapping without monotonicity) in real Hilbert space. Under suitable assumptions, the convergence of algorithms are established without the knowledge of the Lipschitz constant of the mapping. The results obtained in this paper extend some recent results in the literature. Some preliminary numerical experiments and comparisons are reported.

Keep searching

Author

Access to the JCR database is permitted only to users from Slovenia. Your current IP address is not on the list of IP addresses with access permission, and authentication with the relevant AAI accout is required.

Year	Impact factor		Edition		Category		Classification
Year	JCR	SNIP	JCR	SNIP	JCR	SNIP	JCR	SNIP

Links to authors' personal bibliographies	Links to information on researchers in the SICRIS system

Source: Personal bibliographies and: SICRIS

Upload image

Shelf entry

Adding material to shelf was successful.

Adding material to shelf failed.

It was not necessary to add the material to the shelf.

Permalink

E-mail

Impact factor

Select the library membership card:

DRS, in which the journal is indexed

Citations

Theme