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University of Illinois at Urbana-Champaign

Integer Programming Heuristics for Large Capital Budgeting Problems

Abstract

dc:description

The subject matter of this thesis was the comparison of five integer algorithms suitable for solving large capital budgeting problems such as those characterized by the national development plans in developing nations. In order to obtain statistically meaningful results, we designed and carried out some nonparametric randomized complete block experiments using real world data from the 1968/69 Nigerian national development plan.

Degree

thesis:*
Name thesis:degree_name
Ph.D.
Level thesis:degree_level
Dissertation
Discipline thesis:degree_discipline
Agricultural Economics
Grantor
University of Illinois at Urbana-Champaign
Year dc:date
2014

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Agori-Iwe, Kesiena Oghenemado

Subjects

dc:subject × 1

Rights

Language dc:language
eng

Identifiers

dc:identifier.*
Identifier
(UMI)AAI8203390
OAI identifier oai:identifier
oai:www.ideals.illinois.edu:2142/66788

Chain of custody

source
Harvested from
University of Illinois - Urbana-Champaign
Base URL
www.ideals.illinois.edu/oai-pmh
Last updated
2026-07-22
Source record
OAI-PMH GetRecord
citation

Agori-Iwe, Kesiena Oghenemado. Integer Programming Heuristics for Large Capital Budgeting Problems. Dissertation thesis, University of Illinois at Urbana-Champaign, 2014. http://hdl.handle.net/2142/66788