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Multistep Schemes for Forward Backward Stochastic Differential Equations with Jumps 期刊论文
JOURNAL OF SCIENTIFIC COMPUTING, 2016, 卷号: 69, 期号: 2, 页码: 651-672
作者:  Fu, Yu;  Zhao, Weidong;  Zhou, Tao
收藏  |  浏览/下载：141/0  |  提交时间：2018/07/30
Multistep scheme  Jump-diffusion process  Forward backward stochastic differential equation with jumps  
Modified equations for weakly convergent stochastic symplectic schemes via their generating functions 期刊论文
BIT NUMERICAL MATHEMATICS, 2016, 卷号: 56, 期号: 3, 页码: 1131-1162
作者:  Wang, Lijin;  Hong, Jialin;  Sun, Liying
收藏  |  浏览/下载：89/0  |  提交时间：2018/07/30
Stochastic backward error analysis  Stochastic modified equations  Stochastic symplectic methods  Stochastic Hamiltonian systems  Stochastic generating functions  
Charged Substrate and Product Together Contribute Like a Nonreactive Species to the Overall Electrostatic Steering in Diffusion-Reaction Processes 期刊论文
JOURNAL OF PHYSICAL CHEMISTRY B, 2016, 卷号: 120, 期号: 33, 页码: 8147-8153
作者:  Xu, Jingjie;  Xie, Yan;  Lu, Benzhuo;  Zhang, Linbo
收藏  |  浏览/下载：125/0  |  提交时间：2018/07/30
A Relation for Nanodroplet Diffusion on Smooth Surfaces 期刊论文
SCIENTIFIC REPORTS, 2016, 卷号: 6, 页码: 8
作者:  Li, Chu;  Huang, Jizu;  Li, Zhigang
收藏  |  浏览/下载：108/0  |  提交时间：2018/07/30
Fiber Orientation Distribution Estimation Using a Peaceman-Rachford Splitting Method 期刊论文
SIAM JOURNAL ON IMAGING SCIENCES, 2016, 卷号: 9, 期号: 2, 页码: 573-604
作者:  Chen, Yannan;  Dai, Yu-Hong;  Han, Deren
收藏  |  浏览/下载：110/0  |  提交时间：2018/07/30
fiber orientation distribution  magnetic resonance imaging  Peaceman-Rachford splitting method  positive semidefinite tensor  semidefinite programming  sum of squares polynomial  
Finite element approximation of optimal control problems governed by time fractional diffusion equation 期刊论文
COMPUTERS & MATHEMATICS WITH APPLICATIONS, 2016, 卷号: 71, 期号: 1, 页码: 301-318
作者:  Zhou, Zhaojie;  Gong, Wei
收藏  |  浏览/下载：148/0  |  提交时间：2018/07/30
Galerkin finite element method  Optimal control problems  Time fractional diffusion equations  A priori error estimate  Variational discretization