Title
Parallel Implementation of Successive Convex Relaxation Methods for Quadratic Optimization Problems
Abstract
As computing resources continue to improve, global solutions for larger size quadrically constrained optimization problems become more achievable. In this paper, we focus on larger size problems and get accurate bounds for optimal values of such problems with the successive use of SDP relaxations on a parallel computing system called Ninf (Network-based Information Library for high performance computing).
Year
DOI
Venue
2002
10.1023/A:1020299805773
Journal of Global Optimization
Keywords
Field
DocType
Nonconvex quadratic program,SDP relaxation,Lift-and-project LP relaxation,Lift-and-project procedure,Parallel computation,Global computing
Mathematical optimization,Quadratically constrained quadratic program,Supercomputer,Constrained optimization problem,Quadratic programming,Lagrangian relaxation,Convex relaxation,Mathematics
Journal
Volume
Issue
ISSN
24
2
1573-2916
Citations 
PageRank 
References 
2
0.41
19
Authors
4
Name
Order
Citations
PageRank
Akiko Takeda119629.72
Katsuki Fujisawa224828.63
Yusuke Fukaya320.41
Masakazu Kojima41603222.51