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.
, , , , , ,
Cornell University Library
arXiv.org e-Print archive
Semidefinite programming and combinatorial optimization , Spinoza prijs Lex Schrijver
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 .