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Diagonalization-based parallel-in-time algorithms for parabolic PDE-constrained optimization problems 期刊论文
ESAIM-CONTROL OPTIMISATION AND CALCULUS OF VARIATIONS, 2020, 卷号: 26, 页码: 26
作者:  Wu, Shu-Lin;  Zhou, Tao
收藏  |  浏览/下载：149/0  |  提交时间：2021/04/26
Parabolic PDE-constrained optimization  PinT algorithm  diagonalization technique  preconditioner  GMRES  BiCGStab  
Distributed LCMV beamformer design by randomly permuted ADMM 期刊论文
DIGITAL SIGNAL PROCESSING, 2020, 卷号: 106, 页码: 9
作者:  Li, Zhibao;  Yiu, Ka Fai Cedric;  Dai, Yu-Hong;  Nordholm, Sven
收藏  |  浏览/下载：135/0  |  提交时间：2021/01/14
Distributed LCMV beamformer  Speech enhancement  Blockwise optimization  ADMM  Random permutation  
Heterogeneous Hegselmann-Krause Dynamics With Environment and Communication Noise 期刊论文
IEEE TRANSACTIONS ON AUTOMATIC CONTROL, 2020, 卷号: 65, 期号: 8, 页码: 3409-3424
作者:  Chen, Ge;  Su, Wei;  Ding, Songyuan;  Hong, Yiguang
收藏  |  浏览/下载：171/0  |  提交时间：2020/09/23
Analytical models  Synchronization  Convergence  STEM  Chemistry  Exponential distribution  Heterogeneous Hegselmann-Krause (HK) model  multiagent systems  noise  opinion dynamics  synchronization  
Conformal metric sequences with integral-bounded scalar curvature 期刊论文
MATHEMATISCHE ZEITSCHRIFT, 2020, 页码: 31
作者:  Li, Yuxiang;  Zhou, Zhipeng
收藏  |  浏览/下载：116/0  |  提交时间：2020/09/23
Normal approximation by Stein's method under sublinear expectations 期刊论文
STOCHASTIC PROCESSES AND THEIR APPLICATIONS, 2020, 卷号: 130, 期号: 5, 页码: 2838-2850
作者:  Song, Yongsheng
收藏  |  浏览/下载：170/0  |  提交时间：2020/06/30
Stein's method  Normal approximation  Sublinear expectation  G-normal distribution  
Study of Restrained Network Structures for Wasserstein Generative Adversarial Networks (WGANs) on Numeric Data Augmentation 期刊论文
IEEE ACCESS, 2020, 卷号: 8, 页码: 89812-89821
作者:  Wang, Wei;  Wang, Chuang;  Cui, Tao;  Li, Yue
收藏  |  浏览/下载：156/0  |  提交时间：2020/09/23
Gallium nitride  Generative adversarial networks  Tensile stress  Generators  Indexes  Training  Numerical models  Restrained network structures  generative adversarial network  numeric data augmentation  
A NOVEL LEAST SQUARES METHOD FOR HELMHOLTZ EQUATIONS WITH LARGE WAVE NUMBERS 期刊论文
SIAM JOURNAL ON NUMERICAL ANALYSIS, 2020, 卷号: 58, 期号: 5, 页码: 3091-3123
作者:  Hu, Qiya;  Song, Rongrong
收藏  |  浏览/下载：141/0  |  提交时间：2021/01/14
Helmholtz equations  inhomogeneous media  large wave number  auxiliary unknowns  least squares  error estimates  preconditioner