Title
An improved lower bound and approximation algorithm for binary constrained quadratic programming problem
Abstract
This paper presents an improved lower bound and an approximation algorithm based on spectral decomposition for the binary constrained quadratic programming problem. To decompose spectrally the quadratic matrix in the objective function, we construct a low rank problem that provides a lower bound. Then an approximation algorithm for the binary quadratic programming problem together with a worst case performance analysis for the algorithm is provided.
Year
DOI
Venue
2010
10.1007/s10898-009-9504-1
J. Global Optimization
Keywords
Field
DocType
Quadratic integer programming,Lower bound,Approximation algorithm,Spectral decomposition
Second-order cone programming,Approximation algorithm,Binary quadratic form,Mathematical optimization,Quadratically constrained quadratic program,Upper and lower bounds,Quadratic function,Quadratic programming,Sequential quadratic programming,Mathematics
Journal
Volume
Issue
ISSN
48
3
0925-5001
Citations 
PageRank 
References 
3
0.45
10
Authors
3
Name
Order
Citations
PageRank
Cheng Lu191.60
Zhenbo Wang2599.43
Wenxun Xing39610.67