Finding the Intersection of a Set of n Half-Spaces in Time O(nlogn).

Abstract

A set of n half-spaces in three-dimensional space is given and an algorithm for finding the common intersection in time O(nlogn) is developed. The intersection, if nonempty, is presented as a convex polyhedron. The algorithm is summarized as follows: (1) the half-spaces are placed in two sets depending upon whether they contain or do not contain the origin; (2) the half-spaces in each of these sets are dualized to points, and the convex hulls of the dualized sets are obtained in time O(nlogn); (3) since the half-space intersection is nonempty if and only if these two convex hulls are dispoint, a separating plane is found, also in time O(nlogn); (4) after applying a linear spatial transformation which maps the separating plane to infinity, the convex hull of the union of the two transformed convex hulls is the transformed intersection of the half-spaces. Since the latter can be found in time O(n), the overall running time of the procedure is O(nlogn). A significant consequence of this result is that a three-variable linear, or convex, programming problem can be asymptotically solved faster than by the Simplex algorithm, in the worst case.

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Document Details

Document Type
Technical Report
Publication Date
Dec 01, 1977
Accession Number
ADA057560

Entities

People

  • D. E. Muller
  • Franco P. Preparata

Organizations

  • University of Illinois Urbana–Champaign

Tags

Communities of Interest

  • Air Platforms

DTIC Thesaurus Topics

  • Air Force
  • Algorithms
  • Buildings And Structures
  • Cartesian Coordinates
  • Coefficients
  • Computational Complexity
  • Computer Programming
  • Convex Programming
  • Convex Sets
  • Geometry
  • Governments
  • Illinois
  • Linear Programming
  • Mathematical Programming
  • Numbers
  • Simplex Method
  • Three Dimensional

Fields of Study

  • Mathematics

Readers

  • Graph Algorithms and Convex Optimization.
  • Operations Research

Technology Areas

  • Space