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卫健学术沙龙:基于5G+人工智能的心理/精神健康服务与管理体系建设
Gauging spacetime inversions
AI合成化学前沿与战略研讨会暨国家智能化学数据中心启动会
Macro to micro- and nano-scale fluidic engineering for analytical chemistry
报告题目:
Solving singularly perturbed reaction-diffusion problems on sparse grids
 报告人:
Martin Stynes
爱尔兰国立大学数学系教授
报告时间:
2009-04-17 15:00
报告地点:
清华大学科学馆104报告厅
主办单位:
清华大学周培源应用数学研究中心
  简介:

Abstract:

The linear reaction-diffusion problem $-\varepsilon^2\Delta u + b u = f$ is considered on the unit square with homogeneous Dirichlet boundary conditions. Here $\varepsilon$ is a small positive parameter and the problem is in general singularly perturbed. The numerical solution of this problem is analysed on a Shishkin mesh that has $N$ intervals in each coordinate direction, using the Galerkin finite element method with bilinear trial functions. The accuracy of this method, measured in the associated energy norm, is shown to be $ O(N^{-2} + \varepsilon^{1/2} N^{-1} \ln N)$. It is proved that a two-scale sparse grid method achieves the same order of accuracy while reducing the number of degrees of freedom from $ O(N^{2})$ to $ O(N^{3/2})$.

 

报告人简介:Martin Stynes 教授的主要研究领域是奇异摄动微分方程的数值解法,包括对流扩散方程,线性化Navier-Stokes方程等。

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