English
 
Help Privacy Policy Disclaimer
  Advanced SearchBrowse

Item

ITEM ACTIONSEXPORT

Released

Journal Article

Dual-Bounded Generating Problems: All Minimal Integer Solutions for a Monotone System of Linear Inequalities

MPS-Authors
/persons/resource/persons44374

Elbassioni,  Khaled M.
Algorithms and Complexity, MPI for Informatics, Max Planck Society;

External Resource
No external resources are shared
Fulltext (restricted access)
There are currently no full texts shared for your IP range.
Fulltext (public)
There are no public fulltexts stored in PuRe
Supplementary Material (public)
There is no public supplementary material available
Citation

Boros, E., Elbassioni, K. M., Khachiyan, L., Gurvich, V., & Makino, K. (2002). Dual-Bounded Generating Problems: All Minimal Integer Solutions for a Monotone System of Linear Inequalities. SIAM Journal on Computing, 31, 20.


Cite as: https://hdl.handle.net/11858/00-001M-0000-0019-ED69-1
Abstract
We consider the problem of enumerating all minimal integer solutions of a monotone system of linear inequalities. We first show that for any monotone system of r linear inequalities in n variables, the number of maximal infeasible integer vectors is at most rn times the number of minimal integer solutions to the system. This bound is accurate up to a polylog(r) factor and leads to a polynomial-time reduction of the enumeration problem to a natural generalization of the well-known dualization problem for hypergraphs, in which dual pairs of hypergraphs are replaced by dual collections of integer vectors in a box. We provide a quasi-polynomial algorithm for the latter dualization problem. These results imply, in particular, that the problem of incrementally generating all minimal integer solutions to a monotone system of linear inequalities can be done in quasi-polynomial time.