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Weak boundary penalization for Dirichlet boundary control problems governed by elliptic equations 期刊论文
JOURNAL OF MATHEMATICAL ANALYSIS AND APPLICATIONS, 2017, 卷号: 453, 期号: 1, 页码: 529-557
作者:  Chang, Lili;  Gong, Wei;  Yan, Ningning
收藏  |  浏览/下载:117/0  |  提交时间:2018/07/30
Dirichlet boundary control  Weak boundary penalization  Finite element method  A priori error estimate  
Simultaneous identification of diffusion coefficient, spacewise dependent source and initial value for one-dimensional heat equation 期刊论文
MATHEMATICAL METHODS IN THE APPLIED SCIENCES, 2017, 卷号: 40, 期号: 10, 页码: 3552-3565
作者:  Zhao, Zhi-Xue;  Banda, Mapundi K.;  Guo, Bao-Zhu
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Inverse Problem  Matrix Pencil Method  Finite Difference Method  Truncated Singular Value Decomposition  Generalized Cross-validation  
Distributed formation control with relaxed motion requirements 期刊论文
INTERNATIONAL JOURNAL OF ROBUST AND NONLINEAR CONTROL, 2015, 卷号: 25, 期号: 17, 页码: 3210-3230
作者:  Bishop, Adrian N.;  Deghat, Mohammad;  Anderson, Brian D. O.;  Hong, Yiguang
收藏  |  浏览/下载:124/0  |  提交时间:2018/07/30
distributed control  formation control  multi-agent systems  
A RT Mixed FEM/DG Scheme for Optimal Control Governed by Convection Diffusion Equations 期刊论文
JOURNAL OF SCIENTIFIC COMPUTING, 2009, 卷号: 41, 期号: 2, 页码: 273-299
作者:  Yan, Ningning;  Zhou, Zhaojie
收藏  |  浏览/下载:109/0  |  提交时间:2018/07/30
Raviart-Thomas mixed FEM  Discontinuous Galerkin method  Convection dominated diffusion equations  Constrained optimal control problem  A priori error estimate  A posteriori error estimate  Adaptive finite element method  
Evolving Least Squares Support Vector Machines for Stock Market Trend Mining 期刊论文
IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION, 2009, 卷号: 13, 期号: 1, 页码: 87-102
作者:  Yu, Lean;  Chen, Huanhuan;  Wang, Shouyang;  Lai, Kin Keung
收藏  |  浏览/下载:106/0  |  提交时间:2018/07/30
Artificial neural networks (ANNs)  evolutionary algorithms (EAs)  feature selection  genetic algorithm (GA)  least squares support vector machine (LSSVM)  mixed kernel  parameter optimization  statistical models  stock market trend mining