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CORR
2010
Springer
168views Education» more  CORR 2010»
15 years 6 months ago
Penalty Decomposition Methods for Rank Minimization
In this paper we consider general rank minimization problems with rank appearing in either objective function or constraint. We first show that a class of matrix optimization prob...
Zhaosong Lu, Yong Zhang
COMSUR
2006
87views more  COMSUR 2006»
15 years 6 months ago
Handover schemes in satellite networks: State-of-the-art and future research directions
Low Earth Orbit (LEO) satellites will work as an important component in future data communication networks. LEO satellites provide low end-to-end delays and efficient frequency spe...
Pulak K. Chowdhury, Mohammed Atiquzzaman, William ...
EOR
2006
73views more  EOR 2006»
15 years 6 months ago
Path relinking and GRG for artificial neural networks
Artificial neural networks (ANN) have been widely used for both classification and prediction. This paper is focused on the prediction problem in which an unknown function is appr...
Abdellah El-Fallahi, Rafael Martí, Leon S. ...
SIAMJO
2008
66views more  SIAMJO 2008»
15 years 6 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
SIAMSC
2008
132views more  SIAMSC 2008»
15 years 6 months ago
Stochastic Preconditioning for Diagonally Dominant Matrices
Abstract. This paper presents a new stochastic preconditioning approach for large sparse matrices. For the class of matrices that are row-wise and column-wise irreducibly diagonall...
Haifeng Qian, Sachin S. Sapatnekar