EconPapers    
Economics at your fingertips  
 

Dual Conflict Analysis for Mixed-Integer Semidefinite Programs

Marc E. Pfetsch ()
Additional contact information
Marc E. Pfetsch: TU Darmstadt

Chapter Chapter 8 in Operations Research Proceedings 2023, 2025, pp 57-64 from Springer

Abstract: Abstract Conflict analysis originally tried to exploit the knowledge that certain nodes in a relaxation-based branch-and-bound are infeasible. It has been extended to derive valid constraints also from feasible nodes. This paper adapts this approach to mixed-integer semidefinite programs. Using dual solutions, the primal constraints are aggregated and the resulting inequalities can be used at different nodes in the tree to tighten variable bounds. We show that this helps to speed up the solutions times by about 8 % on our testset.

Date: 2025
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:lnopch:978-3-031-58405-3_8

Ordering information: This item can be ordered from
http://www.springer.com/9783031584053

DOI: 10.1007/978-3-031-58405-3_8

Access Statistics for this chapter

More chapters in Lecture Notes in Operations Research from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().

 
Page updated 2025-07-27
Handle: RePEc:spr:lnopch:978-3-031-58405-3_8