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University of Illinois at Urbana-Champaign

Parallel algorithms for convex hulls and proximity problems

Abstract

dc:description

Computational geometry is concerned with the algorithmic aspects of solving geometric problems. The problems are motivated from and have application to such diverse areas as computer graphics, robotics, computer vision, and operations research. Problems arising from these areas of application are good candidates for parallelization since they often have both intense computational needs and stringent response time requirements. Motivated by these concerns, this thesis investigates parallel algorithms for some basic geometric problems. The model of parallel computation used in our studies is the Parallel Random Access Machine (CREW PRAM).

Degree

thesis:*
Name thesis:degree_name
Ph.D.
Level thesis:degree_level
Dissertation
Discipline thesis:degree_discipline
Computer Science
Grantor
University of Illinois at Urbana-Champaign
Year dc:date
2011

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Amato, Nancy M.
Contributors dc:contributor
  • Preparata, Franco P.

Subjects

dc:subject × 1

Rights

dc:rights
Statement dc:rights
  • Copyright 1995 Amato, Nancy Marie
Language dc:language
eng

Identifiers

dc:identifier.*
Identifier
AAI9522076
(UMI)AAI9522076
OAI identifier oai:identifier
oai:www.ideals.illinois.edu:2142/21857

Chain of custody

source
Harvested from
University of Illinois - Urbana-Champaign
Base URL
www.ideals.illinois.edu/oai-pmh
Last updated
2026-07-22
Source record
OAI-PMH GetRecord
citation

Amato, Nancy M.. Parallel algorithms for convex hulls and proximity problems. Dissertation thesis, University of Illinois at Urbana-Champaign, 2011. http://hdl.handle.net/2142/21857