A computational approach with residual error analysis for the fractional-order biological population model. Issue 1 (1st January 2021)
- Record Type:
- Journal Article
- Title:
- A computational approach with residual error analysis for the fractional-order biological population model. Issue 1 (1st January 2021)
- Main Title:
- A computational approach with residual error analysis for the fractional-order biological population model
- Authors:
- Gökmen, Elçin
- Abstract:
- ABSTRACT: In this study, a fractional Bernstein series solution method has been submitted to solve the fractional-order biological population model with one carrying capacity. The numerical method has been implemented by an effective algorithm written on the computer algebraic system Maple 15. An error-bound analysis is performed by using a process similar to the RK45 method. An error estimation technique relating to residual function is presented. In the numerical application, the variations in the population of prey and predator with respect to time and situations of these two species relative to each other are plotted. The outputs obtained from our method are compared with the homotopy perturbation Sumudu transform method and reproducing kernel Hilbert space method. The approximate solutions gained from the Bernstein series method are consistent with those of other methods. The advantage of our method is that it requires less computational cost compared with methods involving more complex operations.
- Is Part Of:
- Journal of Taibah University for science. Volume 15:Issue 1(2021)
- Journal:
- Journal of Taibah University for science
- Issue:
- Volume 15:Issue 1(2021)
- Issue Display:
- Volume 15, Issue 1 (2021)
- Year:
- 2021
- Volume:
- 15
- Issue:
- 1
- Issue Sort Value:
- 2021-0015-0001-0000
- Page Start:
- 218
- Page End:
- 225
- Publication Date:
- 2021-01-01
- Subjects:
- Fractional-order biological population model -- carrying capacity -- Bernstein series solution method -- Caputo derivative -- error analysis
Science -- Periodicals
Science
Periodicals
505 - Journal URLs:
- http://rave.ohiolink.edu/ejournals/issn/16583655 ↗
http://www.sciencedirect.com/science/journal/16583655 ↗
http://www.journals.elsevier.com/journal-of-taibah-university-for-science/ ↗
http://0-www.sciencedirect.com.emu.londonmet.ac.uk/science/journal/16583655 ↗
https://www.tandfonline.com/loi/tusc20 ↗
http://www.elsevier.com/journals ↗
http://www.tandfonline.com/ ↗ - DOI:
- 10.1080/16583655.2021.1952750 ↗
- Languages:
- English
- ISSNs:
- 1658-3655
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 25386.xml