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TIGHTNESS OF A NEW AND ENHANCED SEMIDEFINITE RELAXATION FOR MIMO DETECTION 期刊论文
SIAM JOURNAL ON OPTIMIZATION, 2019, 卷号: 29, 期号: 1, 页码: 719-742
作者:  Lu, Cheng;  Liu, Ya-Feng;  Zhang, Wei-Qiang;  Zhang, Shuzhong
收藏  |  浏览/下载：172/0  |  提交时间：2020/01/10
complex quadratic programming  semidefinite relaxation  MIMO detection  tight relaxation  
Physical-Layer Multicasting Design for Downstream G.fast DSL Transmission 期刊论文
IEEE ACCESS, 2019, 卷号: 7, 页码: 110660-110673
作者:  Lanneer, Wouter;  Liu, Ya-Feng;  Yu, Wei;  Moonen, Marc
收藏  |  浏览/下载：175/0  |  提交时间：2020/01/10
G.fast  dynamic spectrum management  physical-layer multicasting  rank-one precoding  
Optimal estimation of sensor biases for asynchronous multi-sensor data fusion 期刊论文
MATHEMATICAL PROGRAMMING, 2018, 卷号: 170, 期号: 1, 页码: 357-386
作者:  Pu, Wenqiang;  Liu, Ya-Feng;  Yan, Junkun;  Liu, Hongwei;  Luo, Zhi-Quan
收藏  |  浏览/下载：171/0  |  提交时间：2018/07/30
Block coordinate decent algorithm  Nonlinear least squares  Sensor registration problem  Tightness of semidefinite relaxation  
A SEMISMOOTH NEWTON METHOD FOR SEMIDEFINITE PROGRAMS AND ITS APPLICATIONS IN ELECTRONIC STRUCTURE CALCULATIONS 期刊论文
SIAM JOURNAL ON SCIENTIFIC COMPUTING, 2018, 卷号: 40, 期号: 6, 页码: A4131-A4157
作者:  Li, Yongfeng;  Wen, Zaiwen;  Yang, Chao;  Yuan, Ya-Xiang
收藏  |  浏览/下载：130/0  |  提交时间：2019/03/05
semidefinite programming  ADMM  semismooth Newton method  electronic structure calculation  two-body reduced density matrix  
A sparse enhanced indexation model with chance and cardinality constraints 期刊论文
JOURNAL OF GLOBAL OPTIMIZATION, 2018, 卷号: 70, 期号: 1, 页码: 5-25
作者:  Xu, Fengmin;  Wang, Meihua;  Dai, Yu-Hong;  Xu, Dachuan
收藏  |  浏览/下载：121/0  |  提交时间：2018/07/30
Enhanced indexation  Chance constraint  Mixed integer programming  Distributionally robust approach  
A note on semidefinite programming relaxations for polynomial optimization over a single sphere 期刊论文
SCIENCE CHINA-MATHEMATICS, 2016, 卷号: 59, 期号: 8, 页码: 1543-1560
作者:  Hu Jiang;  Jiang Bo;  Liu Xin;  Wen ZaiWen
收藏  |  浏览/下载：133/0  |  提交时间：2018/07/30
polynomial optimization over a single sphere  semidefinite programming  best rank-1 tensor approximation  Bose-Einstein condensates  
Fiber Orientation Distribution Estimation Using a Peaceman-Rachford Splitting Method 期刊论文
SIAM JOURNAL ON IMAGING SCIENCES, 2016, 卷号: 9, 期号: 2, 页码: 573-604
作者:  Chen, Yannan;  Dai, Yu-Hong;  Han, Deren
收藏  |  浏览/下载：97/0  |  提交时间：2018/07/30
fiber orientation distribution  magnetic resonance imaging  Peaceman-Rachford splitting method  positive semidefinite tensor  semidefinite programming  sum of squares polynomial