Stability and error estimation for component adaptive grid methods
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Stability and error estimation for component adaptive grid methods

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Published by Research Institute for Advanced Computer Science, NASA Ames Research Center, National Technical Information Service, distributor in [Moffett Field, Calif.], [Springfield, Va .
Written in English


Book details:

Edition Notes

StatementJoseph Oliger and Xiaolei Zhu.
Series[NASA contractor report] -- NASA CR-196492., RIACS technical report -- 94.14., NASA contractor report -- NASA CR-196492., RIACS technical report -- TR 94-14.
ContributionsZhu, Xiaolei., Research Institute for Advanced Computer Science (U.S.)
The Physical Object
FormatMicroform
Pagination1 v.
ID Numbers
Open LibraryOL17790245M
OCLC/WorldCa32227109

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Component adaptive grid (CAG) methods for solving hyperbolic partial differen-tial equations (PDE's) are discussed in this paper. Applying recent stability results for a class of numerical methods on uniform grids, the convergence of these methods for linear problems on component adaptive grids is established here. Furthermore. Component adaptive grid (CAG) methods for solving hyperbolic partial differential equations (PDE's) are discussed in this paper. Applying recent stability results for a class of numerical methods on uniform grids, the convergence of these methods for linear problems on component adaptive grids is established here. COVID Resources. Reliable information about the coronavirus (COVID) is available from the World Health Organization (current situation, international travel).Numerous and frequently-updated resource results are available from this ’s WebJunction has pulled together information and resources to assist library staff as they consider how to handle coronavirus. Component adaptive grid (CAG) methods for solving hyperbolic partial differential equations (PDE's) are discussed in this paper. Applying recent stability results for a class of numerical methods on uniform grids. The convergence of these methods for linear problems on component adaptive grids is established here.

As a first step, virtually all modeling procedures in use in computational mechanics involve a process of discretization in which continuum models of nature are transformed into discrete or digital forms manageable by digital computers. This discretization process is critical to the overall computer. SIAM Journal on Numerical Analysis , Abstract | PDF ( KB) () Adaptive Finite Element Methods for Parabolic Problems V: Long-Time by: The implementation of adaptive mesh refinement (AMR) in the spectral-element method code Nek is used for the first time on the well-resolved large-eddy simulation (LES) of the turbulent flow. The focus of this paper is to compare estimation techniques for harmonic detection in SG and smart micro-grid (SmG) systems. Harmonic estimation is fundamental to determine the correct operating conditions of power grids. The available methods are able to properly estimate harmonics under stationary : Angel Esteban Labrador Rivas, Newton da Silva, Taufik Abrão.

The research in this direction is still open, with new emerging solutions such as the non-linear adaptive method proposed in [21] for the estimation of the symmetrical components in real-time. Read the latest articles of Applied Numerical Mathematics at , Elsevier’s leading platform of peer-reviewed scholarly literature. Demkowicz, L., Oden, J.T., Rachowicz, W., Hardy, O.: Toward a universal h-p adaptive finite element strategy, part 1. Constrained approximation and data structure. For the most part, adaptive grid methods fall into two main categories: local grid refinement and grid redistribution [76]. Important early work on local grid refinement was done by Berger and.