EconPapers    
Economics at your fingertips  
 

Irreducible Infeasible Sets in Convex Mixed-Integer Programs

Wiesława T. Obuchowska ()
Additional contact information
Wiesława T. Obuchowska: East Carolina University

Journal of Optimization Theory and Applications, 2015, vol. 166, issue 3, No 2, 747-766

Abstract: Abstract In this paper, we address the problem of infeasibility of systems defined by convex inequality constraints, where some or all of the variables are integer valued. In particular, we provide a polynomial time algorithm to identify a set of all constraints which may affect a feasibility status of the system after some perturbation of the right-hand sides. We establish several properties of the irreducible infeasible sets and infeasibility sets in the systems with integer variables, proving in particular that all irreducible infeasible sets and infeasibility sets are subsets of the set of constraints critical to feasibility. Furthermore, the well-known Bohnenblust–Karlin–Shapley Theorem, which requires that a system of convex inequality constraints must be defined over a compact convex set, is generalized to convex systems without the assumption on compactness of the convex region. Extension of the latter result to convex systems defined over the set of integers is also provided.

Keywords: Integer programming; Infeasibility; Convex constraints; Sensitivity analysis; Irreducible infeasible sets; 90C10; (90C25) (search for similar items in EconPapers)
Date: 2015
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
http://link.springer.com/10.1007/s10957-015-0720-1 Abstract (text/html)
Access to the full text of the articles in this series is restricted.

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:joptap:v:166:y:2015:i:3:d:10.1007_s10957-015-0720-1

Ordering information: This journal article can be ordered from
http://www.springer. ... cs/journal/10957/PS2

DOI: 10.1007/s10957-015-0720-1

Access Statistics for this article

Journal of Optimization Theory and Applications is currently edited by Franco Giannessi and David G. Hull

More articles in Journal of Optimization Theory and Applications from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().

 
Page updated 2025-03-20
Handle: RePEc:spr:joptap:v:166:y:2015:i:3:d:10.1007_s10957-015-0720-1