Bibliographic Details
| Title: |
Taylor wavelet quasilinearization method for solving tumor growth model of fractional order |
| Authors: |
Pooja Yadav, Shah Jahan, Mohammad Izadi |
| Source: |
Results in Control and Optimization, Vol 15, Iss , Pp 100437- (2024) |
| Publisher Information: |
Elsevier, 2024. |
| Publication Year: |
2024 |
| Collection: |
LCC:Applied mathematics. Quantitative methods |
| Subject Terms: |
Block pulse functions, Fractional order Taylor wavelet, Tumor model, Quasilinearization, Applied mathematics. Quantitative methods, T57-57.97 |
| More Details: |
This study introduces an innovative approach combining Taylor wavelet with quasilinearization, aiming to enhance the fractional-order tumor growth model. To explore the prediction of tumor growth, the fractional order Taylor wavelet (FOTW) technique is employed. Block pulse functions (BPFs) are used for constructing a fractional order operational matrix of integration. Next, the quasilinearization method is employed to transform the given equations into a linear algebraic system of equations. To show the performance of the FOTW based approach, the numerical results are obtained and discussed geometrically. The outcomes show that fractional models work more effectively, and can be further explored. |
| Document Type: |
article |
| File Description: |
electronic resource |
| Language: |
English |
| ISSN: |
2666-7207 |
| Relation: |
http://www.sciencedirect.com/science/article/pii/S2666720724000675; https://doaj.org/toc/2666-7207 |
| DOI: |
10.1016/j.rico.2024.100437 |
| Access URL: |
https://doaj.org/article/14a6be5ba66943b19baff8f12ec6dc99 |
| Accession Number: |
edsdoj.14a6be5ba66943b19baff8f12ec6dc99 |
| Database: |
Directory of Open Access Journals |
