EconPapers    
Economics at your fingertips  
 

Integer Programming

Robert Bosch and Michael Trick ()
Additional contact information
Robert Bosch: Oberlin College
Michael Trick: Carnegie Mellon University

Chapter Chapter 3 in Search Methodologies, 2014, pp 67-92 from Springer

Abstract: Abstract Over the last 25 years, the combination of faster computers, more reliable data and improved algorithms has resulted in the near-routine solution of many integer programs of practical interest. Integer programming models are used in a wide variety of applications, including scheduling, resource assignment, planning, supply chain design, auction design, and many, many others. In this tutorial, we outline some of the major themes involved in creating and solving integer programming models.

Keywords: Integer Programming; Facility Location; Integer Solution; Integer Variable; Facility Location Problem (search for similar items in EconPapers)
Date: 2014
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:978-1-4614-6940-7_3

Ordering information: This item can be ordered from
http://www.springer.com/9781461469407

DOI: 10.1007/978-1-4614-6940-7_3

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 2025-03-23
Handle: RePEc:spr:sprchp:978-1-4614-6940-7_3