• Media type: E-Article
  • Title: Kinder, gentler average-case analysis for convex hulls and maximal vectors
  • Contributor: Dwyer, Rex A.
  • Published: Association for Computing Machinery (ACM), 1990
  • Published in: ACM SIGACT News, 21 (1990) 2, Seite 64
  • Language: English
  • DOI: 10.1145/379172.379188
  • ISSN: 0163-5700
  • Keywords: General Medicine
  • Origination:
  • Footnote:
  • Description: 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.
  • Access State: Open Access