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 Tools annual

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 Tools monthly

Global: Zendy Plus monthly

Presents the access of premium content as premium feature

Premium Content

Global: Zendy Plus annual

Global: Zendy Free Plan

No-Free-Lunch Theorems state, roughly speaking, that the performance of allsearch algorithms is the same when averaged over all possible objectivefunctions. This fact was precisely formulated for the first time in a nowfamous paper by Wolpert and Macready, and then subsequently refined andextended by several authors, always in the context of a set of functions withdiscrete domain and codomain. Recently, Auger and Teytaud have shown that forcontinuum domains there is typically no No-Free-Lunch theorems. In this paperwe provide another approach, which is simpler, requires less assumptions,relates the discrete and continuum cases, and that we believe that clarifiesthe role of the cardinality and structure of the domain.

No-Free-Lunch Theorems in the continuum