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On Computing the Vertex Centroid of a Polyhedron

MPS-Authors
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Elbassioni,  Khaled
Algorithms and Complexity, MPI for Informatics, Max Planck Society;

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Tiwary,  Hans Raj
Algorithms and Complexity, MPI for Informatics, Max Planck Society;

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Fulltext (public)

0806.3456.pdf
(Preprint), 199KB

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Citation

Elbassioni, K., & Tiwary, H. R. (2008). On Computing the Vertex Centroid of a Polyhedron. Retrieved from http://arxiv.org/abs/0806.3456.


Cite as: http://hdl.handle.net/11858/00-001M-0000-0028-9696-3
Abstract
Let $\mathcal{P}$ be an $\mathcal{H}$-polytope in $\mathbb{R}^d$ with vertex set $V$. The vertex centroid is defined as the average of the vertices in $V$. We prove that computing the vertex centroid of an $\mathcal{H}$-polytope is #P-hard. Moreover, we show that even just checking whether the vertex centroid lies in a given halfspace is already #P-hard for $\mathcal{H}$-polytopes. We also consider the problem of approximating the vertex centroid by finding a point within an $\epsilon$ distance from it and prove this problem to be #P-easy by showing that given an oracle for counting the number of vertices of an $\mathcal{H}$-polytope, one can approximate the vertex centroid in polynomial time. We also show that any algorithm approximating the vertex centroid to \emph{any} ``sufficiently'' non-trivial (for example constant) distance, can be used to construct a fully polynomial approximation scheme for approximating the centroid and also an output-sensitive polynomial algorithm for the Vertex Enumeration problem. Finally, we show that for unbounded polyhedra the vertex centroid can not be approximated to a distance of $d^{{1/2}-\delta}$ for any fixed constant $\delta>0$.