An Improved Version of Residual Power Series Method for Space-Time Fractional Problems. (15th January 2022)
- Record Type:
- Journal Article
- Title:
- An Improved Version of Residual Power Series Method for Space-Time Fractional Problems. (15th January 2022)
- Main Title:
- An Improved Version of Residual Power Series Method for Space-Time Fractional Problems
- Authors:
- Bayrak, Mine Aylin
Demir, Ali
Ozbilge, Ebru - Other Names:
- Salahshour Soheil Academic Editor.
- Abstract:
- Abstract : The task of present research is to establish an enhanced version of residual power series (RPS) technique for the approximate solutions of linear and nonlinear space-time fractional problems with Dirichlet boundary conditions by introducing new parameter λ . The parameter λ allows us to establish the best numerical solutions for space-time fractional differential equations (STFDE). Since each problem has different Dirichlet boundary conditions, the best choice of the parameter λ depends on the problem. This is the major contribution of this research. The illustrated examples also show that the best approximate solutions of various problems are constructed for distinct values of parameter λ . Moreover, the efficiency and reliability of this technique are verified by the numerical examples.
- Is Part Of:
- Advances in mathematical physics. Volume 2022(2022)
- Journal:
- Advances in mathematical physics
- Issue:
- Volume 2022(2022)
- Issue Display:
- Volume 2022, Issue 2022 (2022)
- Year:
- 2022
- Volume:
- 2022
- Issue:
- 2022
- Issue Sort Value:
- 2022-2022-2022-0000
- Page Start:
- Page End:
- Publication Date:
- 2022-01-15
- Subjects:
- Mathematical physics -- Periodicals
Mathematical physics
Periodicals
530.15 - Journal URLs:
- http://www.hindawi.com/journals/amp/contents.html ↗
http://bibpurl.oclc.org/web/44179 ↗ - DOI:
- 10.1155/2022/6174688 ↗
- Languages:
- English
- ISSNs:
- 1687-9120
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library HMNTS - ELD Digital store
- Ingest File:
- 20844.xml