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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：150/0  |  提交时间：2021/04/26
Parabolic PDE-constrained optimization  PinT algorithm  diagonalization technique  preconditioner  GMRES  BiCGStab  
On the minimum number of Steiner points of constrained 1-line-fixed Steiner tree in the Euclidean plane R-2 期刊论文
OPTIMIZATION LETTERS, 2020, 页码: 15
作者:  Li, Jianping;  Zheng, Yujie;  Lichen, Junran;  Wang, Wencheng
收藏  |  浏览/下载：156/0  |  提交时间：2020/09/23
A fixed linel  Steiner tree  Steiner points  Delaunay triangulation  Approximation algorithms  
Consensus of Multi-Agent Systems Under Binary-Valued Measurements and Recursive Projection Algorithm 期刊论文
IEEE TRANSACTIONS ON AUTOMATIC CONTROL, 2020, 卷号: 65, 期号: 6, 页码: 2678-2685
作者:  Wang, Ting;  Zhang, Hang;  Zhao, Yanlong
收藏  |  浏览/下载：153/0  |  提交时间：2020/09/23
Convergence  Consensus algorithm  Projection algorithms  Noise measurement  Estimation  Multi-agent systems  Approximation algorithms  Binary-valued communications  convergence  convergence rate  consensus control  estimate  multi-agent systems  recursive projection algorithm  
Better Approximations of High Dimensional Smooth Functions by Deep Neural Networks with Rectified Power Units 期刊论文
COMMUNICATIONS IN COMPUTATIONAL PHYSICS, 2020, 卷号: 27, 期号: 2, 页码: 379-411
作者:  Li, Bo;  Tang, Shanshan;  Yu, Haijun
收藏  |  浏览/下载：127/0  |  提交时间：2020/05/24
Deep neural network  high dimensional approximation  sparse grids  rectified linear unit  rectified power unit  rectified quadratic unit  
RATIONAL SPECTRAL METHODS FOR PDEs INVOLVING FRACTIONAL LAPLACIAN IN UNBOUNDED DOMAINS 期刊论文
SIAM JOURNAL ON SCIENTIFIC COMPUTING, 2020, 卷号: 42, 期号: 2, 页码: A585-A611
作者:  Tang, Tao;  Wang, Li-Lian;  Yuan, Huifang;  Zhou, Tao
收藏  |  浏览/下载：152/0  |  提交时间：2020/09/23
fractional Laplacian  Gegenbauer polynomials  modified rational functions  unbounded domains  Fourier transforms  spectral methods