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Limit Configurations of Schrodinger Systems Versus Optimal Partition for the Principal Eigenvalue of Elliptic Systems 期刊论文
ADVANCED NONLINEAR STUDIES, 2019, 卷号: 19, 期号: 4, 页码: 693-715
作者:  Luo, Haijun;  Zhang, Zhitao
收藏  |  浏览/下载:157/0  |  提交时间:2020/05/24
Schrodinger System  Almgren's Monotonicity Formula  Optimal Partition  Free Boundary Problem  
The Efficient Computation of Aircraft Range Problem 期刊论文
ACTA MATHEMATICAE APPLICATAE SINICA-ENGLISH SERIES, 2019, 卷号: 35, 期号: 4, 页码: 862-872
作者:  Yu, Fang;  Cui, Jin-chuan
收藏  |  浏览/下载:133/0  |  提交时间:2020/05/24
computational complexity  efficient computation mechanism  aircraft range problem  cluster  
A substructuring preconditioner with vertex-related interface solvers for elliptic-type equations in three dimensions 期刊论文
ADVANCES IN COMPUTATIONAL MATHEMATICS, 2019, 卷号: 45, 期号: 3, 页码: 1129-1161
作者:  Hu, Qiya;  Hu, Shaoliang
收藏  |  浏览/下载:160/0  |  提交时间:2020/01/10
Domain decomposition  Substructuring preconditioner  Linear elasticity problems  Maxwell's equations  PCG iteration  Convergence rate  
Reasoning and querying web-scale open data based on DL-Lite(A) in a divide-and-conquer way 期刊论文
JOURNAL OF WEB SEMANTICS, 2019, 卷号: 55, 页码: 122-144
作者:  Gu, Zhenzhen;  Zhang, Songmao;  Cao, Cungen
收藏  |  浏览/下载:151/0  |  提交时间:2020/01/10
DL-lite(A)  Open data  Semantic web  Knowledge base  Query answering  Divide-and-conquer  
The Cauchy Two-Matrix Model, C-Toda Lattice and CKP Hierarchy 期刊论文
JOURNAL OF NONLINEAR SCIENCE, 2019, 卷号: 29, 期号: 1, 页码: 3-27
作者:  Li, Chunxia;  Li, Shi-Hao
收藏  |  浏览/下载:190/0  |  提交时间:2019/03/11
Matrix models  Cauchy biorthogonal polynomials  C-Toda lattice  CKP hierarchy  tau-Function theory  
A Semisupervised Classification Approach for Multidomain Networks With Domain Selection 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2019, 卷号: 30, 期号: 1, 页码: 269-283
作者:  Chen, Chuan;  Xin, Jingxue;  Wang, Yong;  Chen, Luonan;  Ng, Michael K.
收藏  |  浏览/下载:252/0  |  提交时间:2019/03/05
Domain selection  multidomain classification  network integration  semisupervised learning  sparsity