Nested dyadic grids associated with Legendre–Gauss–Lobatto grids
Nested dyadic grids associated with Legendre–Gauss–Lobatto grids
复制标题
与 LegendreâGaussâLobatto 网格关联的嵌套二进网格
DOI:
10.1007/s00211-014-0691-4
复制
发表时间:
2015
影响因子:
2.1
通讯作者:
Wolfgang Dahmen
中科院分区:
文献类型:
--
作者:
Kolja Brix;Claudio Canuto;Wolfgang Dahmen
Legendre–Gauss–Lobatto (LGL) grids play a pivotal role in nodal spectral methods for the numerical solution of partial differential equations. They not only provide efficient high-order quadrature rules, but give also rise to norm equivalences that could eventually lead to efficient preconditioning techniques in high-order methods. Unfortunately, a serious obstruction to fully exploiting the potential of such concepts is the fact that LGL grids of different degree are not nested. This affects, on the one hand, the choice and analysis of suitableauxiliary spaces, when applying theauxiliary space methodas a principal preconditioning paradigm, and, on the other hand, the efficient solution of the auxiliary problems. As a central remedy, we consider certain nested hierarchies of dyadic grids of locally comparable mesh size, that are in a certain sense properly associated with the LGL grids. Their actual suitability requires a subtle analysis of such grids which, in turn, relies on a number of refined properties of LGL grids. The central objective of this paper is to derive the main properties of the associated dyadic grids needed for preconditioning the systems arising from- or even spectral (conforming or Discontinuous Galerkin type) discretizations for second order elliptic problems in a way that is fully robust with respect to varying polynomial degrees. To establish these properties requires revisiting some refined properties of LGL grids and their relatives.
登录
查看更多内容
影响因子:
2
作者:
P. Oswald
通讯作者:
P. Oswald
DOI:
10.1007/978-3-319-05789-7
发表时间:
2014-10
期刊:
--
影响因子:
--
作者:
J. Erhel;M. Gander;L. Halpern;G. Pichot;T. Sassi;O. Widlund
通讯作者:
J. Erhel;M. Gander;L. Halpern;G. Pichot;T. Sassi;O. Widlund
DOI:
--
发表时间:
1986
期刊:
影响因子:
--
作者:
A. Laforgia;M. E. Muldoon
通讯作者:
M. E. Muldoon
DOI:
10.1016/j.cam.2009.02.045
发表时间:
2008
期刊:
J. Comput. Appl. Math.
影响因子:
--
作者:
K. Jordaan;F. Toókos
通讯作者:
F. Toókos
影响因子:
2.1
作者:
Kolja Brix;Martin Campos Pinto;Claudio Canuto;Wolfgang Dahmen
通讯作者:
Wolfgang Dahmen