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科研机构
数学与系统科学研... [255]
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期刊论文 [255]
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A NOVEL AUGMENTED LAGRANGIAN METHOD OF MULTIPLIERS FOR OPTIMIZATION WITH GENERAL INEQUALITY CONSTRAINTS
期刊论文
MATHEMATICS OF COMPUTATION, 2022, 页码: 30
作者:
Liu, Xin-Wei
;
Dai, Yu-Hong
;
Huang, Ya-Kui
;
Sun, Jie
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  |  
浏览/下载:44/0
  |  
提交时间:2023/02/07
Nonlinear programming
inequality-constrained optimization
augmented Lagrangian method of multipliers
strong global convergence
local convergence
Distributed stochastic gradient tracking methods with momentum acceleration for non-convex optimization
期刊论文
COMPUTATIONAL OPTIMIZATION AND APPLICATIONS, 2022, 页码: 42
作者:
Gao, Juan
;
Liu, Xin-Wei
;
Dai, Yu-Hong
;
Huang, Yakui
;
Gu, Junhua
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  |  
浏览/下载:11/0
  |  
提交时间:2023/02/07
Distributed non-convex optimization
Machine learning
Momentum methods
Optimization algorithms
Convergence rate
Optimality conditions for homogeneous polynomial optimization on the unit sphere
期刊论文
OPTIMIZATION LETTERS, 2022, 页码: 8
作者:
Huang, Lei
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浏览/下载:0/0
  |  
提交时间:2023/02/07
Homogeneous polynomials
Optimization on the unit sphere
Optimality conditions
A semismooth Newton based augmented Lagrangian method for nonsmooth optimization on matrix manifolds
期刊论文
MATHEMATICAL PROGRAMMING, 2022, 页码: 61
作者:
Zhou, Yuhao
;
Bao, Chenglong
;
Ding, Chao
;
Zhu, Jun
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  |  
浏览/下载:7/0
  |  
提交时间:2023/02/07
Nonsmooth manifold optimization
Semismooth Newton method
Augmented Lagrangian method
Riemannian manifold
A line search penalty-free SQP method for equality-constrained optimization without Maratos effect
期刊论文
IMA JOURNAL OF NUMERICAL ANALYSIS, 2022, 卷号: 42, 期号: 4, 页码: 3771-3802
作者:
Chen, Zhongwen
;
Dai, Yu-Hong
;
Zhang, Tauyou
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  |  
浏览/下载:10/0
  |  
提交时间:2023/02/07
Understanding the acceleration phenomenon via high-resolution differential equations
期刊论文
MATHEMATICAL PROGRAMMING, 2022, 卷号: 195, 期号: 1-2, 页码: 79-148
作者:
Shi, Bin
;
Du, Simon S.
;
Jordan, Michael, I
;
Su, Weijie J.
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  |  
浏览/下载:9/0
  |  
提交时间:2023/02/07
Convex optimization
First-order method
Polyak's heavy ball method
Nesterov's accelerated gradient methods
Ordinary differential equation
Lyapunov function
Gradient minimization
Homogenization for polynomial optimization with unbounded sets
期刊论文
MATHEMATICAL PROGRAMMING, 2022, 页码: 41
作者:
Huang, Lei
;
Nie, Jiawang
;
Yuan, Ya-Xiang
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  |  
浏览/下载:5/0
  |  
提交时间:2023/02/07
Polynomial optimization
Homogenization
Moment-SOS relaxations
Optimality conditions
Linear convergence of an alternating polar decomposition method for low rank orthogonal tensor approximations
期刊论文
MATHEMATICAL PROGRAMMING, 2022, 页码: 60
作者:
Hu, Shenglong
;
Ye, Ke
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  |  
浏览/下载:5/0
  |  
提交时间:2023/02/07
Orthogonally decomposable tensors
Low rank orthogonal tensor approximation
R-linear convergence
Sublinear convergence
Global convergence
Distributed system identification for linear stochastic systems with binary sensors
期刊论文
AUTOMATICA, 2022, 卷号: 141, 页码: 13
作者:
Fu, Kewei
;
Chen, Han-Fu
;
Zhao, Wenxiao
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  |  
浏览/下载:8/0
  |  
提交时间:2023/02/07
Distributed system identification
Binary-valued sensor
Stochastic approximation
Consensus
Convergence
Strong consistency
The augmented lagrangian method can approximately solve convex optimization with least constraint violation
期刊论文
MATHEMATICAL PROGRAMMING, 2022, 页码: 35
作者:
Dai, Yu-Hong
;
Zhang, Liwei
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  |  
浏览/下载:6/0
  |  
提交时间:2023/02/07
Convex optimization
Least constraint violation
Augmented Lagrangian method
Shifted problem
Optimal value mapping
Solution mapping
Dual function
Conjugate dual
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