Adaptive Hierarchical Collocation Method for Solving Fractional Population Diffusion Model

The fractional population diffusion model is crucial for pest prevention. This paper presents an adaptive hierarchical collocation method for solving this model, enhancing the efficiency of algorithms based on Low-Complexity Shannon-Cosine wavelet derived from combinatorial identity theory. This fun...

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Main Authors: Linqiang Yang, Yafei Liu, Hongmei Ma, Xue Liu, Shuli Mei
Format: Article
Language:English
Published: Wiley 2023-01-01
Series:Journal of Mathematics
Online Access:http://dx.doi.org/10.1155/2023/2323418
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author Linqiang Yang
Yafei Liu
Hongmei Ma
Xue Liu
Shuli Mei
author_facet Linqiang Yang
Yafei Liu
Hongmei Ma
Xue Liu
Shuli Mei
author_sort Linqiang Yang
collection DOAJ
description The fractional population diffusion model is crucial for pest prevention. This paper presents an adaptive hierarchical collocation method for solving this model, enhancing the efficiency of algorithms based on Low-Complexity Shannon-Cosine wavelet derived from combinatorial identity theory. This function, an improvement over previous constructs, mitigates the need for iterative computation of parameters and boasts advantages like interpolation, symmetry, and compact support. The method’s extension to other time-fractional partial differential equations (PDEs) is also possible. The algorithm’s complexity analysis illustrates the concise function’s efficiency advantage over the original expression when solving time-fractional PDEs. Comparatively, the method exhibits superior numerical performance to alternative wavelet spectral methods like the Shannon–Gabor wavelet.
format Article
id doaj-art-1291cc9666bb4b3bbc000484ed35288d
institution Kabale University
issn 2314-4785
language English
publishDate 2023-01-01
publisher Wiley
record_format Article
series Journal of Mathematics
spelling doaj-art-1291cc9666bb4b3bbc000484ed35288d2025-02-03T06:45:31ZengWileyJournal of Mathematics2314-47852023-01-01202310.1155/2023/2323418Adaptive Hierarchical Collocation Method for Solving Fractional Population Diffusion ModelLinqiang Yang0Yafei Liu1Hongmei Ma2Xue Liu3Shuli Mei4College of Information and Electrical EngineeringCollege of Information and Electrical EngineeringYantai Research InstituteCollege of Information and Electrical EngineeringCollege of Information and Electrical EngineeringThe fractional population diffusion model is crucial for pest prevention. This paper presents an adaptive hierarchical collocation method for solving this model, enhancing the efficiency of algorithms based on Low-Complexity Shannon-Cosine wavelet derived from combinatorial identity theory. This function, an improvement over previous constructs, mitigates the need for iterative computation of parameters and boasts advantages like interpolation, symmetry, and compact support. The method’s extension to other time-fractional partial differential equations (PDEs) is also possible. The algorithm’s complexity analysis illustrates the concise function’s efficiency advantage over the original expression when solving time-fractional PDEs. Comparatively, the method exhibits superior numerical performance to alternative wavelet spectral methods like the Shannon–Gabor wavelet.http://dx.doi.org/10.1155/2023/2323418
spellingShingle Linqiang Yang
Yafei Liu
Hongmei Ma
Xue Liu
Shuli Mei
Adaptive Hierarchical Collocation Method for Solving Fractional Population Diffusion Model
Journal of Mathematics
title Adaptive Hierarchical Collocation Method for Solving Fractional Population Diffusion Model
title_full Adaptive Hierarchical Collocation Method for Solving Fractional Population Diffusion Model
title_fullStr Adaptive Hierarchical Collocation Method for Solving Fractional Population Diffusion Model
title_full_unstemmed Adaptive Hierarchical Collocation Method for Solving Fractional Population Diffusion Model
title_short Adaptive Hierarchical Collocation Method for Solving Fractional Population Diffusion Model
title_sort adaptive hierarchical collocation method for solving fractional population diffusion model
url http://dx.doi.org/10.1155/2023/2323418
work_keys_str_mv AT linqiangyang adaptivehierarchicalcollocationmethodforsolvingfractionalpopulationdiffusionmodel
AT yafeiliu adaptivehierarchicalcollocationmethodforsolvingfractionalpopulationdiffusionmodel
AT hongmeima adaptivehierarchicalcollocationmethodforsolvingfractionalpopulationdiffusionmodel
AT xueliu adaptivehierarchicalcollocationmethodforsolvingfractionalpopulationdiffusionmodel
AT shulimei adaptivehierarchicalcollocationmethodforsolvingfractionalpopulationdiffusionmodel