2008-04-01
Complexity and algorithms for computing Voronoi cells of lattices
Publication
Publication
In this paper we are concerned with finding the vertices of the Voronoi cell of a Euclidean lattice. Given a basis of a lattice, we prove that computing the number of vertices is a #P-hard problem. On the other hand we describe an algorithm for this problem which is especially suited for low dimensional (say dimensions at most 12) and for highly-symmetric lattices. We use our implementation, which drastically outperforms those of current computer algebra systems, to find the vertices of Voronoi cells and quantizer constants of some prominent lattices.
Additional Metadata | |
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, , , , , , | |
Cornell University Library | |
arXiv.org e-Print archive | |
Semidefinite programming and combinatorial optimization , Spinoza prijs Lex Schrijver | |
Organisation | Networks and Optimization |
Dutour Sikirić, M., Schuermann, A., & Vallentin, F. (2008). Complexity and algorithms for computing Voronoi cells of lattices. arXiv.org e-Print archive. Cornell University Library . |