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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
Authors:  Liu, Xin-Wei;  Dai, Yu-Hong;  Huang, Ya-Kui;  Sun, Jie
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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
Authors:  Gao, Juan;  Liu, Xin-Wei;  Dai, Yu-Hong;  Huang, Yakui;  Gu, Junhua
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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
Authors:  Huang, Lei
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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
Authors:  Zhou, Yuhao;  Bao, Chenglong;  Ding, Chao;  Zhu, Jun
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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
Authors:  Chen, Zhongwen;  Dai, Yu-Hong;  Zhang, Tauyou
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Local error estimate of L1 scheme for linearized time fractional KdV equation with weakly singular solutions 期刊论文
APPLIED NUMERICAL MATHEMATICS, 2022, 卷号: 179, 页码: 183-190
Authors:  Chen, Hu;  Chen, Mengyi;  Sun, Tao;  Tang, Yifa
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L1 scheme  Time-fractional KdV equation  Local error estimate  Weakly singular solution  
Linear convergence of an alternating polar decomposition method for low rank orthogonal tensor approximations 期刊论文
MATHEMATICAL PROGRAMMING, 2022, 页码: 60
Authors:  Hu, Shenglong;  Ye, Ke
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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
Authors:  Fu, Kewei;  Chen, Han-Fu;  Zhao, Wenxiao
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Distributed system identification  Binary-valued sensor  Stochastic approximation  Consensus  Convergence  Strong consistency  

Structural balance and interpersonal appraisals dynamics: Beyond all-to-all and two-faction networks

 期刊论文
AUTOMATICA, 2022, 卷号: 140, 页码: 11
Authors:  Mei, Wenjun;  Chen, Ge;  Friedkin, Noah E.;  Doerfler, Florian
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Structural balance  Signed social networks  Co-evolutionary dynamics  Influence process  Homophily  
Efficient Algorithm for Approximating Nash Equilibrium of Distributed Aggregative Games 期刊论文
IEEE TRANSACTIONS ON CYBERNETICS, 2022, 页码: 13
Authors:  Xu, Gehui;  Chen, Guanpu;  Qi, Hongsheng;  Hong, Yiguang
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Games  Approximation algorithms  Heuristic algorithms  Optimization  Standards  Distributed algorithms  Convergence  -Nash equilibrium (NE)  aggregative game  approximation  distributed algorithm