arrow
返回

TH-collocation for the biharmonic equation

delete2005-04-01
delete5
PRE
AI
M
Martín Díaz
I
Ismael Herrera *
DOI:10.1016/j.advengsoft.2004.10.007delete
delete原文链接
delete原文求助
delete分享
delete收藏
摘要

摘要

En 中文
This paper is intended as a contribution to enhance orthogonal collocation methods. In this, a novel collocation method-TH-collocation-is applied to the biharmonic equation and the merits of such procedure are exhibited. TH-collocation relaxes the continuity requirements and, for the 2D problems here treated, leads to the development of algorithms for which the matrices are sparse (nine-diagonal), symmetric and positive definite. Due to these properties, the conjugate gradient method can be directly, and more effectively, applied to them. These features contrast with those of the standard orthogonal spline collocation on cubic Hermites, which yields matrices that are non-symmetric and non-positive. This paper is part of a line of research in which a general and unified theory of domain decomposition methods, proposed by Herrera, is being explored. Two kinds of contributions can be distinguished in this; some that are relevant for the parallel computation of continuous models and new discretization procedures for partial differential equations. The present paper belongs to this latter kind of contributions. (c) 2004 Elsevier Ltd. All rights reserved.
Keyword:
Treffiz method
collocation
domain decomposition
biharmonic equation
discontinuous Galerkin
AI总结

AI总结

对已上传原文的论文进行重点信息的提取,主要内容包括:简要概述、研究摘要、背景介绍、关键亮点、图文解析、展望与总结。

期刊

Advances in Engineering Software 封面图
Advances in Engineering Software
IF:
5.7
论文数:
3.4K
被引数:
1.2W

机构

暂无机构信息
引用论文

引用论文

Tiny-Hourglassnet: An Efficient Design For 3d Human Pose Estimation
err2020-10-01
err0
PREAI
errBowen Shi; Yuhui Xu; Wenrui Dai; Botao Wang; Shuai Zhang; Chenglin Li; Junni Zou; Hongkai Xiong
err分享
err收藏
Interaction of dopant atoms with stacking faults in silicon
err2012-08-01
err0
PREAI
errYutaka Ohno; Yuki Tokumoto; Hiroto Taneichi; Ichiro Yonenaga; Kensuke Togase; Sigeto R. Nishitani
err分享
err收藏
err分享
err收藏
err
IF0
err
err0
PREAI
err
err分享
err收藏
err分享
err收藏
没有更多内容