Matrix Methods for Solving Algebraic Systems
Mathematical Software
2014-03-06 v1 Symbolic Computation
Abstract
We present our public-domain software for the following tasks in sparse (or toric) elimination theory, given a well-constrained polynomial system. First, C code for computing the mixed volume of the system. Second, Maple code for defining an overconstrained system and constructing a Sylvester-type matrix of its sparse resultant. Third, C code for a Sylvester-type matrix of the sparse resultant and a superset of all common roots of the initial well-constrained system by computing the eigen-decomposition of a square matrix obtained from the resultant matrix. We conclude with experiments in computing molecular conformations.
Cite
@article{arxiv.1403.1140,
title = {Matrix Methods for Solving Algebraic Systems},
author = {Ioannis Z. Emiris},
journal= {arXiv preprint arXiv:1403.1140},
year = {2014}
}
Comments
13 pages. arXiv admin note: text overlap with arXiv:1201.5810