Integer Programming
Robert J. Vanderbei
Additional contact information
Robert J. Vanderbei: Princeton University
Chapter Chapter 23 in Linear Programming, 2008, pp 385-405 from Springer
Abstract:
Abstract Many real-world problems could be modeled as linear programs except that some or all of the variables are constrained to be integers. Such problems are called integer programming problems. One might think that these problems wouldn’t be much harder than linear programming problems. For example, we saw in Chapter 14 that for network flow problems with integer data, the simplex method automatically produces integer solutions. But that was just luck. In general, one can’t expect to get integer solutions; in fact, as we shall see in this chapter, integer programming problems turn out to be generally much harder to crack than linear ones.
Keywords: Schedule Problem; Programming Problem; Integer Programming; Linear Programming Problem; Feasible Region (search for similar items in EconPapers)
Date: 2008
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:isochp:978-0-387-74388-2_23
Ordering information: This item can be ordered from
http://www.springer.com/9780387743882
DOI: 10.1007/978-0-387-74388-2_23
Access Statistics for this chapter
More chapters in International Series in Operations Research & Management Science from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().