English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Plus monthly

Global: Zendy Tools annual

Global: Zendy Tools monthly

Global: Zendy Free Plan

In this paper, we propose a new incremental constraint projection method (containing random projection method and cyclic projection method) for solving variational inequality problems in, where the underlying function is Lipschitz continuous and monotone plus. We focus on special structures that lend themselves to sampling, such as when  X  is the intersection of a large number of sets, and/or  F  is an expected value or is the sum of a large number of component functions. Our method requires only two projections onto a suitable halfspace which replaces the projections onto constrained set. We prove the sequence generated by our method is globally convergent to a solution of the variational inequalities in almost sure sense both random projection method and cyclic projection method. Finally, we provide numerical experiments to show the efficiency and advantage of the proposed algorithms.

Random and cyclic projection algorithms for variational inequalities