Computational analysis of time-fractional models in energy infrastructure applications
In this paper, we propose an effective numerical method to solve the one- and two-dimensional time-fractional convection-diffusion equations based on the Caputo derivative. The presented approach employs a hybrid method that combines Lucas and Fibonacci polynomials with the Caputo derivative definit...
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my.uniten.dspace-340262024-10-14T11:17:42Z Computational analysis of time-fractional models in energy infrastructure applications Ahmad I. Bakar A.A. Ali I. Haq S. Yussof S. Ali A.H. 57220824630 35178991300 57211855967 24168162900 16023225600 57694581900 Caputo derivative Convection-diffusion equation Energy infrastructure Fibonacci polynomials Finite differences Lucas polynomials Diffusion in liquids Heat convection Partial differential equations Polynomials Caputo derivatives Computational analysis Convection-diffusion equations Energy infrastructures Fibonacci polynomials Finite difference Fractional model Infrastructure applications Luca polynomial One-dimensional Numerical methods In this paper, we propose an effective numerical method to solve the one- and two-dimensional time-fractional convection-diffusion equations based on the Caputo derivative. The presented approach employs a hybrid method that combines Lucas and Fibonacci polynomials with the Caputo derivative definition. The main objective is to transform the problem into a time-discrete form utilizing the Caputo derivative technique and then approximate the function's derivative using Fibonacci polynomials. To evaluate the efficiency and accuracy of the proposed technique, we apply it to one- and two-dimensional problems and compare the results with the exact as well as with existing methods in recent literature. The comparison demonstrates that the proposed approach is highly efficient, accurate and ease to implement. � 2023 The Author(s) Final 2024-10-14T03:17:42Z 2024-10-14T03:17:42Z 2023 Article 10.1016/j.aej.2023.09.057 2-s2.0-85174721651 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85174721651&doi=10.1016%2fj.aej.2023.09.057&partnerID=40&md5=d8500884aa4d9b07c42c2088fc189b48 https://irepository.uniten.edu.my/handle/123456789/34026 82 426 436 All Open Access Gold Open Access Elsevier B.V. Scopus |
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Caputo derivative Convection-diffusion equation Energy infrastructure Fibonacci polynomials Finite differences Lucas polynomials Diffusion in liquids Heat convection Partial differential equations Polynomials Caputo derivatives Computational analysis Convection-diffusion equations Energy infrastructures Fibonacci polynomials Finite difference Fractional model Infrastructure applications Luca polynomial One-dimensional Numerical methods |
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Caputo derivative Convection-diffusion equation Energy infrastructure Fibonacci polynomials Finite differences Lucas polynomials Diffusion in liquids Heat convection Partial differential equations Polynomials Caputo derivatives Computational analysis Convection-diffusion equations Energy infrastructures Fibonacci polynomials Finite difference Fractional model Infrastructure applications Luca polynomial One-dimensional Numerical methods Ahmad I. Bakar A.A. Ali I. Haq S. Yussof S. Ali A.H. Computational analysis of time-fractional models in energy infrastructure applications |
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In this paper, we propose an effective numerical method to solve the one- and two-dimensional time-fractional convection-diffusion equations based on the Caputo derivative. The presented approach employs a hybrid method that combines Lucas and Fibonacci polynomials with the Caputo derivative definition. The main objective is to transform the problem into a time-discrete form utilizing the Caputo derivative technique and then approximate the function's derivative using Fibonacci polynomials. To evaluate the efficiency and accuracy of the proposed technique, we apply it to one- and two-dimensional problems and compare the results with the exact as well as with existing methods in recent literature. The comparison demonstrates that the proposed approach is highly efficient, accurate and ease to implement. � 2023 The Author(s) |
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57220824630 |
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57220824630 Ahmad I. Bakar A.A. Ali I. Haq S. Yussof S. Ali A.H. |
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Article |
author |
Ahmad I. Bakar A.A. Ali I. Haq S. Yussof S. Ali A.H. |
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Ahmad I. |
title |
Computational analysis of time-fractional models in energy infrastructure applications |
title_short |
Computational analysis of time-fractional models in energy infrastructure applications |
title_full |
Computational analysis of time-fractional models in energy infrastructure applications |
title_fullStr |
Computational analysis of time-fractional models in energy infrastructure applications |
title_full_unstemmed |
Computational analysis of time-fractional models in energy infrastructure applications |
title_sort |
computational analysis of time-fractional models in energy infrastructure applications |
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Elsevier B.V. |
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2024 |
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1814061163291344896 |
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13.222552 |