2020
DOI: 10.1002/num.22536
|View full text |Cite
|
Sign up to set email alerts
|

On the analysis of a kind of nonlinear Sobolev equation through locally applied pseudo‐spectral meshfree radial point interpolation

Abstract: In this study, we develop an approximate formulation for two-dimensional nonlinear Sobolev problems by focusing on pseudospectral meshless radial point interpolation (PSMRPI) which is a kind of locally applied radial basis function interpolation and truthfully a meshless approach. In the PSMRPI method, the nodal points do not need to be regularly distributed and can even be quite arbitrary. It is easy to have high order derivatives of unknowns in terms of the values at nodal points by constructing operational … Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1

Citation Types

0
1
0

Year Published

2022
2022
2024
2024

Publication Types

Select...
2

Relationship

0
2

Authors

Journals

citations
Cited by 2 publications
(1 citation statement)
references
References 65 publications
0
1
0
Order By: Relevance
“…The finite point method (FPM) [32] is a well-known meshless method especially in the field of fluid dynamics. Based on the MLS approximation [23,24,33] and the point collocation technique [34][35][36], the FPM possesses some outstanding merits such as truly meshless, no numerical quadrature, easy to implement, generating sparse and banded discrete systems, and the extensible to high dimensional problems. Theoretical error estimations for the FPM have been established in References [37][38][39].…”
Section: Introductionmentioning
confidence: 99%
“…The finite point method (FPM) [32] is a well-known meshless method especially in the field of fluid dynamics. Based on the MLS approximation [23,24,33] and the point collocation technique [34][35][36], the FPM possesses some outstanding merits such as truly meshless, no numerical quadrature, easy to implement, generating sparse and banded discrete systems, and the extensible to high dimensional problems. Theoretical error estimations for the FPM have been established in References [37][38][39].…”
Section: Introductionmentioning
confidence: 99%