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VIM-Based Dynamic Sparse Grid Approach to Partial Differential Equations

Combining the variational iteration method (VIM) with the sparse grid theory, a dynamic sparse grid approach for nonlinear PDEs is proposed in this paper. In this method, a multilevel interpolation operator is constructed based on the sparse grids theory firstly. The operator is based on the linear...

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Autor principal: Mei, Shu-Li
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi Publishing Corporation 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3958668/
https://www.ncbi.nlm.nih.gov/pubmed/24723805
http://dx.doi.org/10.1155/2014/390148
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author Mei, Shu-Li
author_facet Mei, Shu-Li
author_sort Mei, Shu-Li
collection PubMed
description Combining the variational iteration method (VIM) with the sparse grid theory, a dynamic sparse grid approach for nonlinear PDEs is proposed in this paper. In this method, a multilevel interpolation operator is constructed based on the sparse grids theory firstly. The operator is based on the linear combination of the basic functions and independent of them. Second, by means of the precise integration method (PIM), the VIM is developed to solve the nonlinear system of ODEs which is obtained from the discretization of the PDEs. In addition, a dynamic choice scheme on both of the inner and external grid points is proposed. It is different from the traditional interval wavelet collocation method in which the choice of both of the inner and external grid points is dynamic. The numerical experiments show that our method is better than the traditional wavelet collocation method, especially in solving the PDEs with the Nuemann boundary conditions.
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spelling pubmed-39586682014-04-10 VIM-Based Dynamic Sparse Grid Approach to Partial Differential Equations Mei, Shu-Li ScientificWorldJournal Research Article Combining the variational iteration method (VIM) with the sparse grid theory, a dynamic sparse grid approach for nonlinear PDEs is proposed in this paper. In this method, a multilevel interpolation operator is constructed based on the sparse grids theory firstly. The operator is based on the linear combination of the basic functions and independent of them. Second, by means of the precise integration method (PIM), the VIM is developed to solve the nonlinear system of ODEs which is obtained from the discretization of the PDEs. In addition, a dynamic choice scheme on both of the inner and external grid points is proposed. It is different from the traditional interval wavelet collocation method in which the choice of both of the inner and external grid points is dynamic. The numerical experiments show that our method is better than the traditional wavelet collocation method, especially in solving the PDEs with the Nuemann boundary conditions. Hindawi Publishing Corporation 2014-02-27 /pmc/articles/PMC3958668/ /pubmed/24723805 http://dx.doi.org/10.1155/2014/390148 Text en Copyright © 2014 Shu-Li Mei. https://creativecommons.org/licenses/by/3.0/ This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Mei, Shu-Li
VIM-Based Dynamic Sparse Grid Approach to Partial Differential Equations
title VIM-Based Dynamic Sparse Grid Approach to Partial Differential Equations
title_full VIM-Based Dynamic Sparse Grid Approach to Partial Differential Equations
title_fullStr VIM-Based Dynamic Sparse Grid Approach to Partial Differential Equations
title_full_unstemmed VIM-Based Dynamic Sparse Grid Approach to Partial Differential Equations
title_short VIM-Based Dynamic Sparse Grid Approach to Partial Differential Equations
title_sort vim-based dynamic sparse grid approach to partial differential equations
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3958668/
https://www.ncbi.nlm.nih.gov/pubmed/24723805
http://dx.doi.org/10.1155/2014/390148
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