A random polynomial-time algorithm for approximating the volume of convex bodies (original) (raw)

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Published: 03 January 1991 Publication History

Abstract

A randomized polynomial-time algorithm for approximating the volume of a convex body K in _n_-dimensional Euclidean space is presented. The proof of correctness of the algorithm relies on recent theory of rapidly mixing Markov chains and isoperimetric inequalities to show that a certain random walk can be used to sample nearly uniformly from within K.

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cover image Journal of the ACM

Journal of the ACM Volume 38, Issue 1

Jan. 1991

254 pages

Copyright © 1991 ACM.

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Association for Computing Machinery

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Publication History

Published: 03 January 1991

Published in JACM Volume 38, Issue 1

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Author Tags

  1. convex sets
  2. random walks
  3. sampling
  4. volume

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Martin Dyer

Alan Frieze

Carnegie-Mellon Univ., Pittsburgh, PA

Ravi Kannan

Carnegie-Mellon Univ., Pittsburgh, PA