دورية أكاديمية

Application of an Extended Cubic B-Spline to Find the Numerical Solution of the Generalized Nonlinear Time-Fractional Klein–Gordon Equation in Mathematical Physics

التفاصيل البيبلوغرافية
العنوان: Application of an Extended Cubic B-Spline to Find the Numerical Solution of the Generalized Nonlinear Time-Fractional Klein–Gordon Equation in Mathematical Physics
المؤلفون: Miguel Vivas-Cortez, M. J. Huntul, Maria Khalid, Madiha Shafiq, Muhammad Abbas, Muhammad Kashif Iqbal
المصدر: Computation, Vol 12, Iss 4, p 80 (2024)
بيانات النشر: MDPI AG, 2024.
سنة النشر: 2024
المجموعة: LCC:Electronic computers. Computer science
مصطلحات موضوعية: Caputo time-fractional derivative, extended cubic B-spline functions, nonlinear time-fractional Klein–Gordon equation, stability and convergence, Electronic computers. Computer science, QA75.5-76.95
الوصف: A B-spline function is a series of flexible elements that are managed by a set of control points to produce smooth curves. By using a variety of points, these functions make it possible to build and maintain complicated shapes. Any spline function of a certain degree can be expressed as a linear combination of the B-spline basis of that degree. The flexibility, symmetry and high-order accuracy of the B-spline functions make it possible to tackle the best solutions. In this study, extended cubic B-spline (ECBS) functions are utilized for the numerical solutions of the generalized nonlinear time-fractional Klein–Gordon Equation (TFKGE). Initially, the Caputo time-fractional derivative (CTFD) is approximated using standard finite difference techniques, and the space derivatives are discretized by utilizing ECBS functions. The stability and convergence analysis are discussed for the given numerical scheme. The presented technique is tested on a variety of problems, and the approximate results are compared with the existing computational schemes.
نوع الوثيقة: article
وصف الملف: electronic resource
اللغة: English
تدمد: 2079-3197
Relation: https://www.mdpi.com/2079-3197/12/4/80; https://doaj.org/toc/2079-3197
DOI: 10.3390/computation12040080
URL الوصول: https://doaj.org/article/264f73d082fd44848029518642caff89
رقم الأكسشن: edsdoj.264f73d082fd44848029518642caff89
قاعدة البيانات: Directory of Open Access Journals
الوصف
تدمد:20793197
DOI:10.3390/computation12040080