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COR
2010
105views more  COR 2010»
13 years 7 months ago
Effective formulation reductions for the quadratic assignment problem
In this paper we study two formulation reductions for the quadratic assignment problem (QAP). In particular we apply these reductions to the well known Adams and Johnson [2] integ...
Huizhen Zhang, Cesar Beltran-Royo, Miguel Constant...
CORR
2010
Springer
248views Education» more  CORR 2010»
13 years 7 months ago
Optimal Spectrum Sharing in MIMO Cognitive Radio Networks via Semidefinite Programming
Abstract--In cognitive radio (CR) networks with multipleinput multiple-output (MIMO) links, secondary users (SUs) can exploit "spectrum holes" in the space domain to acce...
Ying Jun Zhang, Anthony Man-Cho So
SIAMJO
2008
66views more  SIAMJO 2008»
13 years 7 months ago
Further Relaxations of the Semidefinite Programming Approach to Sensor Network Localization
Recently, a semidefinite programming (SDP) relaxation approach has been proposed to solve the sensor network localization problem. Although it achieves high accuracy in estimating ...
Zizhuo Wang, Song Zheng, Yinyu Ye, Stephen Boyd
CORR
2011
Springer
167views Education» more  CORR 2011»
13 years 2 months ago
On Quadratic Programming with a Ratio Objective
Quadratic Programming (QP) is the well-studied problem of maximizing over {−1, 1} values the quadratic form i=j aijxixj. QP captures many known combinatorial optimization proble...
Aditya Bhaskara, Moses Charikar, Rajsekar Manokara...
NA
2010
82views more  NA 2010»
13 years 5 months ago
Semi-definite programming techniques for structured quadratic inverse eigenvalue problems
In the past decade or so, semi-definite programming (SDP) has emerged as a powerful tool capable of handling a remarkably wide range of problems. This article describes an innovat...
Matthew M. Lin, Bo Dong, Moody T. Chu