CSpace

Browse/Search Results:  1-10 of 13 Help

Selected(0)Clear Items/Page:    Sort:
Extended ADMM and BCD for nonseparable convex minimization models with quadratic coupling terms: convergence analysis and insights 期刊论文
MATHEMATICAL PROGRAMMING, 2019, 卷号: 173, 期号: 1-2, 页码: 37-77
Authors:  Chen, Caihua;  Li, Min;  Liu, Xin;  Ye, Yinyu
Favorite  |  View/Download:12/0  |  Submit date:2019/03/11
Nonseparable convex minimization  Alternating direction method of multipliers  Block coordinate descent method  Iterate convergence  Random permutation  
On convergence rate of the randomized Kaczmarz method 期刊论文
LINEAR ALGEBRA AND ITS APPLICATIONS, 2018, 卷号: 553, 页码: 252-269
Authors:  Bai, Zhong-Zhi;  Wu, Wen-Ting
Favorite  |  View/Download:11/0  |  Submit date:2018/07/30
System of linear equations  Randomized Kaczmarz method  Convergence rate  
A line search exact penalty method with bi-object strategy for nonlinear constrained optimization 期刊论文
JOURNAL OF COMPUTATIONAL AND APPLIED MATHEMATICS, 2016, 卷号: 300, 页码: 245-258
Authors:  Chen, Zhongwen;  Dai, Yu-Hong
Favorite  |  View/Download:6/0  |  Submit date:2018/07/30
Nonlinear constrained optimization  Exact penalty methods  Bi-object strategy  Global convergence  
Low complexity interference alignment algorithms for desired signal power maximization problem of MIMO channels 期刊论文
EURASIP Journal on Advances in Signal Processing, 2012, 卷号: 2012, 期号: 1
Authors:  Sun,Cong;  Yang,Yunchuan;  Yuan,Yaxiang
Favorite  |  View/Download:4/0  |  Submit date:2018/07/30
Interference alignment  Power maximization  Courant penalty function  Alternating minimization algorithm  Householder transformation  
Preconditioned Iterative Methods for Algebraic Systems from Multiplicative Half-Quadratic Regularization Image Restorations 期刊论文
NUMERICAL MATHEMATICS-THEORY METHODS AND APPLICATIONS, 2010, 卷号: 3, 期号: 4, 页码: 461-474
Authors:  Bai, Zhong-Zhi;  Huang, Yu-Mei;  Ng, Michael K.;  Yang, Xi
Favorite  |  View/Download:15/0  |  Submit date:2018/07/30
Edge-preserving  image restoration  multiplicative half-quadratic regularization  Newton method  preconditioned conjugate gradient method  constraint preconditioner  eigenvalue bounds  
A null-space primal-dual interior-point algorithm for nonlinear optimization with nice convergence properties 期刊论文
MATHEMATICAL PROGRAMMING, 2010, 卷号: 125, 期号: 1, 页码: 163-193
Authors:  Liu, Xinwei;  Yuan, Yaxiang
Favorite  |  View/Download:3/0  |  Submit date:2018/07/30
Global and local convergences  Null-space technique  Primal-dual interior-point methods  Nonlinear optimization with inequality and equality constraints  
Convergence analysis of adaptive trust region methods 期刊论文
RAIRO-OPERATIONS RESEARCH, 2007, 卷号: 41, 期号: 1, 页码: 105-121
Authors:  Shi, Zhen-Jun;  Zhang, Xiang-Sun;  Shen, Jie
Favorite  |  View/Download:4/0  |  Submit date:2018/07/30
adaptive trust region method  unconstrained optimization  global convergence  super-linear convergence  
A class of nested iteration schemes for linear systems with a coefficient matrix with a dominant positive definite symmetric part 期刊论文
NUMERICAL ALGORITHMS, 2004, 卷号: 35, 期号: 2-4, 页码: 351-372
Authors:  Axelsson, O;  Bai, ZZ;  Qiu, SX
Favorite  |  View/Download:3/0  |  Submit date:2018/07/30
system of linear equations  inner/outer iteration  conjugate gradient method  Krylov subspace iterations  incomplete factorization  relaxation iteration  convergence theory  
Global convergence of a trust region algorithm for nonlinear inequality constrained optimization problems 期刊论文
NUMERICAL FUNCTIONAL ANALYSIS AND OPTIMIZATION, 2004, 卷号: 25, 期号: 5-6, 页码: 571-592
Authors:  Yin, HX;  Han, JY;  Chen, ZW
Favorite  |  View/Download:2/0  |  Submit date:2018/07/30
nonlinear optimization  trust region method  inequality constraints  global convergence  
R-linear convergence of the Barzilai and Borwein gradient method 期刊论文
IMA JOURNAL OF NUMERICAL ANALYSIS, 2002, 卷号: 22, 期号: 1, 页码: 1-10
Authors:  Dai, YH;  Liao, LZ
Favorite  |  View/Download:3/0  |  Submit date:2018/07/30
unconstrained optimization  gradient method  R-linear convergence  strictly convex