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Virginia Commonwealth University

Integer Programming With Groebner Basis

Abstract

dc:description.abstract

Integer Programming problems are difficult to solve. The goal is to find an optimal solution that minimizes cost. With the help of Groebner based algorithms the optimal solution can be found if it exists. The application of the Groebner based algorithm and how it works is the topic of research. The Algorithms are The Conti-Traverso Algorithm and the Original Conti-Traverso Algorithm. Examples are given as well as proofs that correspond to the algorithms. The latter algorithm is more efficient as well as user friendly. The algorithms are not necessarily the best way to solve and integer programming problem, but they do find the optimal solution if it exists.

Degree

thesis:*
Name thesis:degree_name
Master of Science
Level thesis:degree_level
Thesis
Discipline thesis:degree_discipline
Mathematical Sciences
Year dc:date.available
2007

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Ginn, Isabella Brooke
Contributors dc:contributor
  • Dr. James K. Deveney

Subjects

dc:subject × 5

Rights

dc:rights
Statement dc:rights
  • © The Author

Identifiers

dc:identifier.*
OAI identifier oai:identifier
oai:scholarscompass.vcu.edu:etd-1768

Chain of custody

source
Harvested from
Virginia Commonwealth University
Base URL
scholarscompass.vcu.edu/do/oai/
Last updated
2026-07-24
Source record
OAI-PMH GetRecord
citation

Ginn, Isabella Brooke. Integer Programming With Groebner Basis. Thesis thesis, 2007. https://doi.org/10.25772/DN5T-5M69