EconPapers    
Economics at your fingertips  
 

The LMAPS for solving fourth-order PDEs with polynomial basis functions

C.S. Chen, Shu-Hui Shen, Fangfang Dou and J. Li

Mathematics and Computers in Simulation (MATCOM), 2020, vol. 177, issue C, 500-515

Abstract: Due to certain difficulties in solving fourth-order partial differential equations (PDEs) using localized methods, the given differential equation is normally split into two decoupled second order PDEs. Such an approach is only feasible for Dirichlet and Laplace boundary conditions. In this paper the localized method of particular solutions is applied to fourth-order PDEs directly using polynomial basis functions. The effectiveness of the proposed algorithms is demonstrated by considering four numerical examples.

Keywords: Localized method of approximate particular solutions; Particular solution; Fourth-order partial differential equation; Polynomial basis function; Helmholtz equation (search for similar items in EconPapers)
Date: 2020
References: View complete reference list from CitEc
Citations:

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0378475420301725
Full text for ScienceDirect subscribers only

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:eee:matcom:v:177:y:2020:i:c:p:500-515

DOI: 10.1016/j.matcom.2020.05.013

Access Statistics for this article

Mathematics and Computers in Simulation (MATCOM) is currently edited by Robert Beauwens

More articles in Mathematics and Computers in Simulation (MATCOM) from Elsevier
Bibliographic data for series maintained by Catherine Liu ().

 
Page updated 2025-03-19
Handle: RePEc:eee:matcom:v:177:y:2020:i:c:p:500-515