检索结果-南通市图书馆

REDUCED BASIS METHOD FOR PARAMETRIZED ELLIPTIC ADVECTION-REACTION PROBLEMS

Journal of Computational Mathematics 2010年第1期28卷 122-148页

作者： Luca Dedè MOX-Modeling■Scientific Computing Dipartimento di Matematica"F.Brioschi"Politecnico di Milano

In this work we consider the Reduced Basis method for the solution of parametrized advection-reaction partial differential equations. For the generation of the basis we adopt a stabilized finite element method and we define the Reduced Basis method in the ＂primal- dual＂ formulation for this stabilized problem. We provide a priori Reduced Basis error estimates and we discuss the effects of the finite element approximation on the Reduced Basis error. We propose an adaptive algorithm, based on the a posteriori Reduced Basis error estimate, for the selection of the sample sets upon which the basis are built; the idea leading this algorithm is the minimization of the computational costs associated with the solution of the Reduced Basis problem. Numerical tests demonstrate the efficiency, in terms of computational costs, of the ＂primal-dual＂ Reduced Basis approach with respect to an ＂only primal＂ one. Parametrized advection-reaction partial differential equations, Reduced Basis method, ＂primal-dual＂ reduced basis approach, Stabilized finite element method, a posteriori error estimation.

关键词： Parametrized advection-reaction partial differential equations Reduced Basis method "primal-dual" reduced basis approach Stabilized finite element method a posteriori error estimation.

来源：

维普期刊数据库

同方期刊数据库评论

在线全文

学校读者我要写书评

暂无评论

OPTIMAL A posteriori error ESTIMATES OF THE LOCAL DISCONTINUOUS GALERKIN METHOD FOR CONVECTION- DIFFUSION PROBLEMS IN ONE SPACE DIMENSION

引用

Journal of Computational Mathematics 2016年第5期34卷 511-531页

作者： Mahboub Baccouch Department of Mathematics University of Nebraska at Omaha Omaha NE 68182

In this paper, we derive optimal order a posteriori error estimates for the local dis- continuous Galerkin （LDC） method for linear convection-diffusion problems in one space dimension. One of the key ingredients in our analysis is the recent optimal superconver- gence result in [Y. Yang and C.-W. Shu, J. Comp. Math., 33 （2015）, pp. 323-340]. We first prove that the LDG solution and its spatial derivative, respectively, converge in the L2-norm to （p ＋ 1）-degree right and left Radau interpolating polynomials under mesh re- finement. The order of convergence is proved to be p ＋ 2, when piecewise polynomials of degree at most p are used. These results are used to show that the leading error terms on each element for the solution and its derivative are proportional to （p ＋ 1）-degree right and left Radau polynomials. We further prove that, for smooth solutions, the a posteriori LDG error estimates, which were constructed by the author in an earlier paper, converge, at a fixed time, to the true spatial errors in the L2-norm at （.9（hp＋2） rate. Finally, we prove that the global effectivity indices in the L2-norm converge to unity at （9（h） rate. These results improve upon our previously published work in which the order of convergence for the a posteriori error estimates and the global effectivity index are proved to be p＋3/2 and 1/2, respectively. Our proofs are valid for arbitrary regular meshes using PP polynomials with p ≥ 1. Several numerical experiments are performed to validate the theoretical results.

关键词： Local discontinuous Galerkin method Convection-diffusion problems Super-convergence Radau polynomials a posteriori error estimation.

来源：

维普期刊数据库评论

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

欢迎您,

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

在线全文

在线全文

请选择保存的检索档案：

请选择收藏分类：

通借通还

欢迎您,

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

在线全文

在线全文

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：