Numerical solution of the nonlinear conformable space–time fractional partial differential equations
H. Çerdik Yaslan ()
Additional contact information
H. Çerdik Yaslan: Pamukkale University
Indian Journal of Pure and Applied Mathematics, 2021, vol. 52, issue 2, 407-419
Abstract:
Abstract In this paper, a numerical approach for solving the nonlinear space-time fractional partial differential equations with variable coefficients is proposed. The fractional derivatives are described in the conformable sense. The numerical approach is based on shifted Chebyshev polynomials of the second kind and finite difference method. The proposed scheme reduces the main problem to a system of nonlinear algebraic equations. The validity and the applicability of the proposed technique are shown by numerical examples.
Keywords: Nonlinear space–time fractional partial differential equation; Conformable fractional derivative; Finite difference method; Newton method; Shifted Chebyshev polynomials of the second kind; 35G31; 35R11; 65M70 (search for similar items in EconPapers)
Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations:
Downloads: (external link)
http://link.springer.com/10.1007/s13226-021-00057-0 Abstract (text/html)
Access to the full text of the articles in this series is restricted.
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:spr:indpam:v:52:y:2021:i:2:d:10.1007_s13226-021-00057-0
Ordering information: This journal article can be ordered from
https://www.springer.com/journal/13226
DOI: 10.1007/s13226-021-00057-0
Access Statistics for this article
Indian Journal of Pure and Applied Mathematics is currently edited by Nidhi Chandhoke
More articles in Indian Journal of Pure and Applied Mathematics from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().