Inductive linearization for binary quadratic programs with linear constraints: a computational study
Sven Mallach ()
Additional contact information
Sven Mallach: University of Bonn
4OR, 2024, vol. 22, issue 1, No 4, 47-87
Abstract:
Abstract The computational utility of inductive linearizations for binary quadratic programs when combined with a mixed-integer programming solver is investigated for several combinatorial optimization problems and established benchmark instances.
Keywords: Non-linear programming; Binary quadratic programming; Mixed-integer programming; Linearization; 68R01; 90C05; 90C09; 90C10; 90C11; 90C20; 90C30 (search for similar items in EconPapers)
Date: 2024
References: View references in EconPapers View complete reference list from CitEc
Citations:
Downloads: (external link)
http://link.springer.com/10.1007/s10288-023-00537-5 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:aqjoor:v:22:y:2024:i:1:d:10.1007_s10288-023-00537-5
Ordering information: This journal article can be ordered from
https://www.springer ... ch/journal/10288/PSE
DOI: 10.1007/s10288-023-00537-5
Access Statistics for this article
4OR is currently edited by Yves Crama, Michel Grabisch and Silvano Martello
More articles in 4OR from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().