Title
A polynomial case of convex integer quadratic programming problems with box integer constraints
Abstract
In this paper, we study a special class of convex quadratic integer programming problem with box constraints. By using the decomposition approach, we propose a fixed parameter polynomial time algorithm for such a class of problems. Given a problem with size being the number of decision variables and being the possible integer values of each decision variable, if the largest eigenvalues of the quadratic coefficient matrix in the objective function are identical for some , we can construct a solution algorithm with a computational complexity of . To achieve such complexity, we decompose the original problem into several convex quadratic programming problems, where the total number of the subproblems is bounded by the number of cells generated by a set of hyperplane arrangements in space, which can be efficiently identified by cell enumeration algorithm.
Year
DOI
Venue
2015
10.1007/s10898-014-0263-2
Journal of Global Optimization
Keywords
Field
DocType
Quadratic integer optimization,Polynomial solvable case,Box constrained
Discrete mathematics,Binary quadratic form,Combinatorics,Mathematical optimization,Quadratically constrained quadratic program,Discriminant,Branch and price,Integer points in convex polyhedra,Quadratic function,Integer programming,Quadratic programming,Mathematics
Journal
Volume
Issue
ISSN
62
4
0925-5001
Citations 
PageRank 
References 
1
0.35
17
Authors
2
Name
Order
Citations
PageRank
Chunli Liu110.35
Jianjun Gao25111.33