Title
Solving Decomposable Sparse Systems
Abstract
Amendola et al. proposed a method for solving systems of polynomial equations lying in a family which exploits a recursive decomposition into smaller systems. A family of systems admits such a decomposition if and only if the corresponding Galois group is imprimitive. When the Galois group is imprimitive, we consider the problem of computing an explicit decomposition. A consequence of Esterov's classification of sparse polynomial systems with imprimitive Galois groups is that this decomposition is obtained by inspection. This leads to a recursive algorithm to compute complex isolated solutions to decomposable sparse systems, which we present and give evidence for its efficiency.
Year
DOI
Venue
2021
10.1007/s11075-020-01045-x
NUMERICAL ALGORITHMS
Keywords
DocType
Volume
Sparse polynomial systems, Homotopy continuation, Algorithm, Galois group
Journal
88
Issue
ISSN
Citations 
1
1017-1398
0
PageRank 
References 
Authors
0.34
0
4
Name
Order
Citations
PageRank
Brysiewicz Taylor100.34
Jose Israel Rodriguez2176.01
Sottile Frank300.68
Yahl Thomas400.34