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Identification and adaptation with binary-valued observations under non-persistent excitation condition


AUTOMATICA, 2022, 卷号: 138, 页码: 9
Authors:  Zhang, Lantian;  Zhao, Yanlong;  Guo, Lei
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Binary-valued observation  Quasi-Newton algorithm  Identification  Persistent excitation  Martingales  Adaptation  
An improved Dai-Kou conjugate gradient algorithm for unconstrained optimization 期刊论文
Authors:  Liu, Zexian;  Liu, Hongwei;  Dai, Yu-Hong
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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
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Non-convex composite optimization  Polyak-Lojasiewicz (PL) inequality  stochastic gradient  stochastic variance reduction gradient  symmetric rank one method  rank one proximity operator  complexity bound  
An adaptive conic trust-region method for unconstrained optimization 期刊论文
OPTIMIZATION METHODS & SOFTWARE, 2005, 卷号: 20, 期号: 6, 页码: 665-677
Authors:  Han, QM;  Sun, WY;  Han, JY;  Sampaio, RJB
Favorite  |  View/Download:92/0  |  Submit date:2018/07/30
trust-region method  conic model  Quasi-Newton method  non-linear programming  self-adjust strategy  
An increasing-angle property of the conjugate gradient method and the implementation of large-scale minimization algorithms with line searches 期刊论文
NUMERICAL LINEAR ALGEBRA WITH APPLICATIONS, 2003, 卷号: 10, 期号: 4, 页码: 323-334
Authors:  Dai, YH;  Martinez, JM;  Yuan, JY
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conjugate gradients  unconstrained minimization  truncated Newton methods  truncated quasi-Newton methods  large scale problems  
A new family of trust region algorithms for unconstrained optimization 期刊论文
JOURNAL OF COMPUTATIONAL MATHEMATICS, 2003, 卷号: 21, 期号: 2, 页码: 221-228
Authors:  Dai, YH;  Xu, DX
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trust region method  global convergence  quasi-Newton method  unconstrained optimization  nonlinear programming  
A modified trust region algorithm 期刊论文
OPTIMIZATION METHODS & SOFTWARE, 2002, 卷号: 17, 期号: 4, 页码: 587-604
Authors:  Zhu, ZW
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trust region method  quasi-Newton method  unconstrained optimization  nonlinear optimization  
Convergence properties of nonlinear conjugate gradient methods 期刊论文
SIAM JOURNAL ON OPTIMIZATION, 2000, 卷号: 10, 期号: 2, 页码: 345-358
Authors:  Dai, YH;  Han, JY;  Liu, GH;  Sun, DF;  Yin, HX;  Yuan, YX
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conjugate gradient method  descent condition  global convergence  
A subspace limited memory quasi-Newton algorithm for large-scale nonlinear bound constrained optimization 期刊论文
MATHEMATICS OF COMPUTATION, 1997, 卷号: 66, 期号: 220, 页码: 1509-1520
Authors:  Ni, Q;  Yuan, Y
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subspace quasi-Newton method  limited memory  projected search  large-scale problem  bound constrained optimization