由买买提看人间百态

boards

本页内容为未名空间相应帖子的节选和存档,一周内的贴子最多显示50字,超过一周显示500字 访问原贴
Computation版 - canonical definitions of “哥搂金”法和“配置”法
相关主题
DG, DC, pseudo spectral问一下一个spatial filtering的问题
科普,谱元法ICSI'2016: Call for Papers and Proposals for Special Sessions, Tutorials, Symposia, etc.
Any good book for collocation method and spectral[Update]ICSI'2016: Call for Papers
请推荐一本各种数值算法比较的书DMBD'2016 Call for Papers (http://dmbd2016.ic-si.org)(Jan. 30, 2016)
staggered v.s. collocated gridsDMBD'2019:Call for Papers (http://dmbd2019.ic-si.org)(Jan. 30, 2019)
谁知道这个方程怎么解请教一个MATLAB中 CURVE-FITTING 的问题
谁有java实现的self tuning spectral clustering算法啊?一个matrix问题
请教关于block-diagonalization的问题请问fortran里可不可以调用Matlab函数?
相关话题的讨论汇总
话题: galerkin话题: methods话题: canonical话题: fitting
进入Computation版参与讨论
1 (共1页)
k*********g
发帖数: 791
1
canonical definitions of galerkin methods and collocations methods.
the definition of galerkin methods vary in different communities of
scientific computing.
since spectral-based methods will be the future of numerical computation for
continuum, the canonical definition of galerkin sort of follows the bible "
C. Canuto, M. Y. Hussaini, A. Quarteroni, and T. A. Zang. Spectral Methods,
Fundamentals in Single Domains. Springer-Verlag, 2006":
if the core computation is conducted in the transformed space (wave number
space) in a best-fitting manner, then it is named as galerkin method.
in contrast, if the core computation is conducted in the physical space in
an exact-fitting manner, then it is named as collocation method.
以下就是搞这些“迂腐、学究式”的定义的直接benefit:
根据排列组合,2 types of spectral based methods are missing:
transformed space + exact fitting, which seemingly to be pointless
and
physical space + best fitting, which turns out extremely powerful.
k*********g
发帖数: 791
2
"transform space"
j****x
发帖数: 943
3
As to the definition of galerkin and collocation method, in general, shouldn
't that be: collocation=exact fitting on nodes and galerkin=best fitting, i.
e. minimum of residual?
c***r
发帖数: 1570
4
手上正好还有这本书,再翻了翻。
collocation没有那么神话,在我看来就是基于chebyshev + gauss /gauss-lobatto的
高阶有限差分而已。此外,collocation方法出来的stiffness matrix永远是非对称的
,增加求解难度和时间。collocation 做multi-domain就是灾难。collocation做
hyperbolic,parabolic也是灾难。
k*********g
发帖数: 791
5
不对称矩阵。。。。
你还是停留在学习2、3流研究者写的书的层次上。。。
看看这个吧:
http://www.mitbbs.com/article_t/Computation/31164387.html

【在 c***r 的大作中提到】
: 手上正好还有这本书,再翻了翻。
: collocation没有那么神话,在我看来就是基于chebyshev + gauss /gauss-lobatto的
: 高阶有限差分而已。此外,collocation方法出来的stiffness matrix永远是非对称的
: ,增加求解难度和时间。collocation 做multi-domain就是灾难。collocation做
: hyperbolic,parabolic也是灾难。

1 (共1页)
进入Computation版参与讨论
相关主题
请问fortran里可不可以调用Matlab函数?staggered v.s. collocated grids
a question on matrix eigen values. (转载)谁知道这个方程怎么解
A book on optimization over complex domain谁有java实现的self tuning spectral clustering算法啊?
Can anybody help me solve a semi-definite programming problem?请教关于block-diagonalization的问题
DG, DC, pseudo spectral问一下一个spatial filtering的问题
科普,谱元法ICSI'2016: Call for Papers and Proposals for Special Sessions, Tutorials, Symposia, etc.
Any good book for collocation method and spectral[Update]ICSI'2016: Call for Papers
请推荐一本各种数值算法比较的书DMBD'2016 Call for Papers (http://dmbd2016.ic-si.org)(Jan. 30, 2016)
相关话题的讨论汇总
话题: galerkin话题: methods话题: canonical话题: fitting