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Max-Min Fairness in IRS-Aided Multi-Cell MISO Systems With Joint Transmit and Reflective Beamforming 期刊论文
IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS, 2021, 卷号: 20, 期号: 2, 页码: 1379-1393
Authors:  Xie, Hailiang;  Xu, Jie;  Liu, Ya-Feng
Favorite  |  View/Download:13/0  |  Submit date:2021/04/26
Array signal processing  MISO communication  Optimization  Wireless communication  Signal to noise ratio  Interference  Computational complexity  Intelligent reflecting surface (IRS)  multi-cell systems  multiple-input single-output (MISO)  coordinated transmit beamforming  reflective beamforming  optimization  
Continuation methods with the trusty time-stepping scheme for linearly constrained optimization with noisy data 期刊论文
OPTIMIZATION AND ENGINEERING, 2021, 页码: 32
Authors:  Luo, Xin-long;  Lv, Jia-hui;  Sun, Geng
Favorite  |  View/Download:15/0  |  Submit date:2021/04/26
Continuation method  Trust-region technique  Visual-inertial localization  Unmanned aerial vehicle  Noisy data  Differential-algebraic dynamical system  
A class of smooth exact penalty function methods for optimization problems with orthogonality constraints 期刊论文
OPTIMIZATION METHODS & SOFTWARE, 2020, 页码: 37
Authors:  Xiao, Nachuan;  Liu, Xin;  Yuan, Ya-xiang
Favorite  |  View/Download:22/0  |  Submit date:2021/01/14
Orthogonality constraint  Stiefel manifold  augmented Lagrangian method  
New subspace minimization conjugate gradient methods based on regularization model for unconstrained optimization 期刊论文
NUMERICAL ALGORITHMS, 2020, 页码: 34
Authors:  Zhao, Ting;  Liu, Hongwei;  Liu, Zexian
Favorite  |  View/Download:17/0  |  Submit date:2021/01/14
Conjugate gradient method  p-regularization model  Subspace technique  Nonmonotone line search  Unconstrained optimization  
On globally solving the extended trust-region subproblems 期刊论文
OPERATIONS RESEARCH LETTERS, 2020, 卷号: 48, 期号: 4, 页码: 441-445
Authors:  Dai, Jinyu
Favorite  |  View/Download:22/0  |  Submit date:2020/09/23
SOC-SDP relaxation  Branch and bound  Eigenvalue decomposition  Uniform distribution  
An exact penalty method for semidefinite-box-constrained low-rank matrix optimization problems 期刊论文
IMA JOURNAL OF NUMERICAL ANALYSIS, 2020, 卷号: 40, 期号: 1, 页码: 563-586
Authors:  Liu, Tianxiang;  Lu, Zhaosong;  Chen, Xiaojun;  Dai, Yu-Hong
Favorite  |  View/Download:18/0  |  Submit date:2020/09/23
rank constrained optimization  non-Lipschitz penalty  nonmonotone proximal gradient  penalty method  
An improved Dai-Kou conjugate gradient algorithm for unconstrained optimization 期刊论文
COMPUTATIONAL OPTIMIZATION AND APPLICATIONS, 2019, 页码: 23
Authors:  Liu, Zexian;  Liu, Hongwei;  Dai, Yu-Hong
Favorite  |  View/Download:25/0  |  Submit date:2020/05/24
Conjugate gradient algorithm  Limited memory  Quasi-Newton method  Preconditioned conjugate gradient algorithm  Global convergence  
Stochastic proximal quasi-Newton methods for non-convex composite optimization 期刊论文
OPTIMIZATION METHODS & SOFTWARE, 2019, 卷号: 34, 期号: 5, 页码: 922-948
Authors:  Wang, Xiaoyu;  Wang, Xiao;  Yuan, Ya-xiang
Favorite  |  View/Download:32/0  |  Submit date:2020/01/10
Non-convex composite optimization  Polyak-Lojasiewicz (PL) inequality  stochastic gradient  stochastic variance reduction gradient  symmetric rank one method  rank one proximity operator  complexity bound  
A subspace SQP method for equality constrained optimization 期刊论文
COMPUTATIONAL OPTIMIZATION AND APPLICATIONS, 2019, 卷号: 74, 期号: 1, 页码: 177-194
Authors:  Lee, Jae Hwa;  Jung, Yoon Mo;  Yuan, Ya-xiang;  Yun, Sangwoon
Favorite  |  View/Download:35/0  |  Submit date:2020/01/10
Equality constrained optimization  SQP method  Large scale problems  Subspace techniques  Damped limited-memory BFGS update  
On the Nonergodic Convergence Rate of an Inexact Augmented Lagrangian Framework for Composite Convex Programming 期刊论文
MATHEMATICS OF OPERATIONS RESEARCH, 2019, 卷号: 44, 期号: 2, 页码: 632-650
Authors:  Liu, Ya-Feng;  Liu, Xin;  Ma, Shiqian
Favorite  |  View/Download:36/0  |  Submit date:2020/01/10
inexact augmented Lagrangian framework  nonergodic convergence rate  composite convex programming