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C - Convex Geometry

Published online by Cambridge University Press:  05 October 2013

Bernard Chazelle
Affiliation:
Princeton University, New Jersey
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Summary

Be review basic facts about polytopes, cell complexes, Voronoi diagrams, and duality. These topics are treated in detail in the texts [118, 335] and the collection of surveys [152]. We assume that the reader is familiar with the notion of a linear subspace V of Rd and its affine version, a flat, ie, x + V (xRd). The affine span of a set is the lowest dimensional flat enclosing it.

Polytopes

A convex polyhedron in Rd is the intersection of a finite number of closed halfspaces, ie, sets of the form {xRda · xb}, for a, bRd, where a ≠ 0 and a·x denotes the inner product of a and x. A polytope is a bounded convex polyhedron. Equivalently, it is the convex hull of a finite point set. A face of a polytope PRd is the relative interior of the intersection of P with a supporting hyperplane. The dimension of a face is that of its affine span. A face of dimension 0 (resp. 1 or d − 1) is called a vertex (resp. edge or facet). The collection of all faces, ordered by inclusion of their closures, forms a cell complex with a lattice structure. It is convenient to represent it by a facial graph. Each node denotes a face, and an arc connects two incident faces whose dimensions differ by exactly one.

Type
Chapter
Information
The Discrepancy Method
Randomness and Complexity
, pp. 449 - 453
Publisher: Cambridge University Press
Print publication year: 2000

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  • Convex Geometry
  • Bernard Chazelle, Princeton University, New Jersey
  • Book: The Discrepancy Method
  • Online publication: 05 October 2013
  • Chapter DOI: https://doi.org/10.1017/CBO9780511626371.015
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  • Convex Geometry
  • Bernard Chazelle, Princeton University, New Jersey
  • Book: The Discrepancy Method
  • Online publication: 05 October 2013
  • Chapter DOI: https://doi.org/10.1017/CBO9780511626371.015
Available formats
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  • Convex Geometry
  • Bernard Chazelle, Princeton University, New Jersey
  • Book: The Discrepancy Method
  • Online publication: 05 October 2013
  • Chapter DOI: https://doi.org/10.1017/CBO9780511626371.015
Available formats
×