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

To optimally select a generalized Nash equilibrium, in this paper, we proposea semi-decentralized algorithm based on a double-layer Tikhonov regularizationmethod. Technically, we extend the Tikhonov method for equilibrium selection innon-generalized games to the generalized case by coupling it with thepreconditioned forward-backward splitting, which guarantees linear convergenceto the solutions of the inner layer problem and allows for a semi-decentralizedimplementation. We then establish a conceptual connection and draw a comparisonbetween the proposed algorithm and the hybrid steepest descent method, theother known distributed framework for solving the selection problem.

A Semi-Decentralized Tikhonov-based Algorithm for Optimal Generalized Nash Equilibrium Selection