Title
Quadratic Optimization With Switching Variables: The Convex Hull For N=2
Abstract
We consider quadratic optimization in variables (x, y) where 0 <= x <= y, and y is an element of {0, 1}(n). Such binary variables are commonly referred to as indicator or switching variables and occur commonly in applications. One approach to such problems is based on representing or approximating the convex hull of the set {(x, xx(T,) yy(T)) : 0 <= x <= y is an element of{0, 1}(n)}. A representation for the case n = 1 is known and has been widely used. We give an exact representation for the case n = 2 by starting with a disjunctive representation for the convex hull and then eliminating auxiliary variables and constraints that do not change the projection onto the original variables. An alternative derivation for this representation leads to an appealing conjecture for a simplified representation of the convex hull for n = 2 when the product term y(1) y(2) is ignored.
Year
DOI
Venue
2021
10.1007/s10107-021-01671-w
MATHEMATICAL PROGRAMMING
Keywords
DocType
Volume
Quadratic optimization, Switching variables, Convex hull, Perspective cone, Semidefinite programming
Journal
188
Issue
ISSN
Citations 
2
0025-5610
0
PageRank 
References 
Authors
0.34
0
2
Name
Order
Citations
PageRank
Kurt M. Anstreicher100.34
Samuel Burer2114873.09