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 Tools annual

Global: Zendy Free Plan

Global: Zendy Tools monthly

Global: Zendy Plus monthly

While the derivations of precise asymptotic estimates found in the mathematical literature are not easily accessible to the non-specialist, there are rather simple arguments for deriving rougher "big-theta" bounds on the expected size of random convex hulls. These arguments are presented, then applied to verify a recently published conjecture on the expected number of maximal vectors among a set of random points chosen from a ball. A summary of recent progress follows. Results relevant for analyzing algorithms are emphasized.

Kinder, gentler average-case analysis for convex hulls and maximal vectors