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

Semidefinite Programming (SDP) provides tight lower bounds for Optimal PowerFlow problems. However, solving large-scale SDP problems requires exploitingsparsity. In this paper, we experiment several clique decomposition algorithmsthat lead to different reformulations and we show that the resolution is highlysensitive to the clique decomposition procedure. Our main contribution is todemonstrate that minimizing the number of additional edges in the chordalextension is not always appropriate to get a good clique decomposition.

Improving Clique Decompositions of Semidefinite Relaxations for Optimal Power Flow Problems