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Averaging principle for slow-fast stochastic differential equations with time dependent locally Lipschitz coefficients 期刊论文
JOURNAL OF DIFFERENTIAL EQUATIONS, 2020, 卷号: 268, 期号: 6, 页码: 2910-2948
作者:  Liu, Wei;  Roeckner, Michael;  Sun, Xiaobin;  Xie, Yingchao
收藏  |  浏览/下载：185/0  |  提交时间：2020/05/24
Averaging principle  Local Lipschitz  Time-dependent  Strong convergence  Stochastic differential equations  
A SEQUENTIAL UPDATING SCHEME OF THE LAGRANGE MULTIPLIER FOR SEPARABLE CONVEX PROGRAMMING 期刊论文
MATHEMATICS OF COMPUTATION, 2017, 卷号: 86, 期号: 303, 页码: 315-343
作者:  Dai, Yu-Hong;  Han, Deren;  Yuan, Xiaoming;  Zhang, Wenxing
收藏  |  浏览/下载：140/0  |  提交时间：2018/07/30
Convex programming  augmented Lagrangian method  splitting method  method of multipliers  image processing  
How long the singular value decomposed entropy predicts the stock market? - Evidence from the Dow Jones Industrial Average Index 期刊论文
PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS, 2016, 卷号: 453, 页码: 150-161
作者:  Gu, Rongbao;  Shao, Yanmin
收藏  |  浏览/下载：132/0  |  提交时间：2018/07/30
Stock market  Prediction  DCCA  Entropy