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SIAM Journal on Computing
Article . 1988 . Peer-reviewed
Data sources: Crossref
DBLP
Article . 1988
Data sources: DBLP
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On the Complexity of Computing the Volume of a Polyhedron

On the complexity of computing the volume of a polyhedron
Authors: Martin E. Dyer; Alan M. Frieze;

On the Complexity of Computing the Volume of a Polyhedron

Abstract

The paper considers the problem of computing the volume of a polyhedron in n dimensions given either as a convex hull of its vertices or as a set of linear inequalities (both representations use only rational numbers). It is shown that this problem is {\#}P-hard for both representations, i.e., it is at least as hard as computing the permanent of a matrix. On the other hand, in the vertex-based case the {\#}P-easiness of the volume problem is shown, i.e., one can compute the volume in polynomial time using a {\#}P-complete oracle. Note that the volume problem is not in class {\#}P. As for the facet-based case, the {\#}P-easiness is proven of computing V such that \(| V-Vol| <\epsilon\) where Vol is the actual volume. Some other results clarifying the volume problem complexity further are also given. See also \textit{L. G. Khachiyan}, Usp. Mat. Nauk 44, No.3(267), 179-180 (1989).

Related Organizations
Keywords

volume, computational complexity, {\#}P-hard, Analysis of algorithms and problem complexity, Polytopes and polyhedra, linear inequalities, {\#}P-easy, convex hull, polyhedron

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
194
Top 1%
Top 1%
Top 10%
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