EconPapers    
Economics at your fingertips  
 

Gröbner Bases in Integer Programming

Rekha R. Thomas ()
Additional contact information
Rekha R. Thomas: Texas A&M University, Department of Mathematics

A chapter in Handbook of Combinatorial Optimization, 1998, pp 533-572 from Springer

Abstract: Abstract Recently, application of the theory of Gröbner bases to integer programming has given rise to new tools and results in this field. Here we present this algebraic theory as the natural integer analog of the simplex approach to linear programming Although couched in algebra, the theory of Gröbner bases and its consequences for integer programming are intimately intertwined with polyhedral geometry and lattice arithmetic which are staples of the traditional approach to this subject.

Keywords: Integer Program; Monomial Ideal; Cost Vector; Regular Triangulation; Graver Basis (search for similar items in EconPapers)
Date: 1998
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-1-4613-0303-9_8

Ordering information: This item can be ordered from
http://www.springer.com/9781461303039

DOI: 10.1007/978-1-4613-0303-9_8

Access Statistics for this chapter

More chapters in Springer Books from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().

 
Page updated 2026-07-12
Handle: RePEc:spr:sprchp:978-1-4613-0303-9_8