EconPapers    
Economics at your fingertips  
 

The Space–Time Kernel-Based Numerical Method for Burgers’ Equations

Marjan Uddin and Hazrat Ali
Additional contact information
Marjan Uddin: Department of Basic Sciences, University of Engineering and Technology, Peshawar 25000, Pakistan
Hazrat Ali: Department of Basic Sciences, University of Engineering and Technology, Peshawar 25000, Pakistan

Mathematics, 2018, vol. 6, issue 10, 1-10

Abstract: It is well known that major error occur in the time integration instead of the spatial approximation. In this work, anisotropic kernels are used for temporal as well as spatial approximation to construct a numerical scheme for solving nonlinear Burgers’ equations. The time-dependent PDEs are collocated in both space and time first, contrary to spatial discretization, and time stepping procedures for time integration are then applied. Physically one cannot in general expect that the spatial and temporal features of the solution behaves on the same order. Hence, one should have to incorporate anisotropic kernels. The nonlinear Burgers’ equations are converted by nonlinear transformation to linear equations. The spatial discretizations are carried out to construct differentiation matrices. Comparisons with most available numerical methods are made to solve the Burgers’ equations.

Keywords: space–time numerical scheme; meshless method; radial kernels; Burgers’ equations (search for similar items in EconPapers)
JEL-codes: C (search for similar items in EconPapers)
Date: 2018
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
https://www.mdpi.com/2227-7390/6/10/212/pdf (application/pdf)
https://www.mdpi.com/2227-7390/6/10/212/ (text/html)

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:gam:jmathe:v:6:y:2018:i:10:p:212-:d:176652

Access Statistics for this article

Mathematics is currently edited by Ms. Emma He

More articles in Mathematics from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().

 
Page updated 2025-03-19
Handle: RePEc:gam:jmathe:v:6:y:2018:i:10:p:212-:d:176652