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Differentially private distributed algorithms for stochastic aggregative games 期刊论文
AUTOMATICA, 2022, 卷号: 142, 页码: 13
Authors:  Wang, Jimin;  Zhang, Ji-Feng;  He, Xingkang
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Differential privacy  Stochastic aggregative games  Distributed algorithms  Stochastic approximation  
Differentially private resilient distributed cooperative online estimation over digraphs 期刊论文
INTERNATIONAL JOURNAL OF ROBUST AND NONLINEAR CONTROL, 2022, 页码: 19
Authors:  Wang, Jimin;  Zhang, Ji-Feng;  Liu, Xiao-Kang
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differential privacy  distributed online estimation  resilient estimation  stochastic approximation  
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  
A fast Euler-Maruyama method for fractional stochastic differential equations 期刊论文
JOURNAL OF APPLIED MATHEMATICS AND COMPUTING, 2022, 页码: 19
Authors:  Zhang, Jingna;  Tang, Yifa;  Huang, Jianfei
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Fractional stochastic differential equations  Euler-Maruyama method  Sum-of-exponentials approximation  Strong convergence  Computational efficiency  
Energy-preserving fully-discrete schemes for nonlinear stochastic wave equations with multiplicative noise 期刊论文
JOURNAL OF COMPUTATIONAL PHYSICS, 2022, 卷号: 451, 页码: 20
Authors:  Hong, Jialin;  Hou, Baohui;  Sun, Liying
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Compact finite difference method  Interior penalty discontinuous Galerkin finite element method  Pade approximation  Averaged energy evolution law  Stochastic wave equation  Multiplicative noise  
STOCHASTIC CONVERGENCE OF REGULARIZED SOLUTIONS AND THEIR FINITE ELEMENT APPROXIMATIONS TO INVERSE SOURCE PROBLEMS 期刊论文
SIAM JOURNAL ON NUMERICAL ANALYSIS, 2022, 卷号: 60, 期号: 2, 页码: 751-780
Authors:  CHEN, Z. H. I. M. I. N. G.;  ZHANG, W. E. N. L. O. N. G.;  ZOU, J. U. N.
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inverse source problems  regularization  finite element approximation  stochastic error estimates  
Stochastic greedy algorithms for maximizing constrained submodular plus supermodular functions 期刊论文
CONCURRENCY AND COMPUTATION-PRACTICE & EXPERIENCE, 2021, 页码: 9
Authors:  Ji, Sai;  Xu, Dachuan;  Li, Min;  Wang, Yishui;  Zhang, Dongmei
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approximation algorithm  constrained  stochastic greedy  submodular plus supermodular maximization  
A General Framework for Nonparametric Identification of Nonlinear Stochastic Systems 期刊论文
IEEE TRANSACTIONS ON AUTOMATIC CONTROL, 2021, 卷号: 66, 期号: 6, 页码: 2449-2464
Authors:  Zhao, Wenxiao;  Weyer, Erik;  Yin, George
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Convex optimization  nonlinear autoregressive systems with exogenous inputs (NARX)  nonparametric  identification  stochastic approximation  strong consistency  
Absolute continuity and numerical approximation of stochastic Cahn-Hilliard equation with unbounded noise diffusion 期刊论文
JOURNAL OF DIFFERENTIAL EQUATIONS, 2020, 卷号: 269, 期号: 11, 页码: 10143-10180
Authors:  Cui, Jianbo;  Hong, Jialin
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Stochastic Cahn-Hilliard equation  Unbounded noise diffusion  Malliavin calculus  Numerical approximation  Strong convergence rate  
Distributed Stochastic Approximation Algorithm With Expanding Truncations 期刊论文
IEEE TRANSACTIONS ON AUTOMATIC CONTROL, 2020, 卷号: 65, 期号: 2, 页码: 664-679
Authors:  Lei, Jinlong;  Chen, Han-Fu
Favorite  |  View/Download:152/0  |  Submit date:2020/05/24
Distributed optimization  distributed stochastic approximation  expanding truncation  multiagent network