Computational precision in time fractional PDEs: Euler wavelets and novel numerical techniques

Mutaz Mohammad , Alexander Trounev
{"title":"Computational precision in time fractional PDEs: Euler wavelets and novel numerical techniques","authors":"Mutaz Mohammad ,&nbsp;Alexander Trounev","doi":"10.1016/j.padiff.2024.100918","DOIUrl":null,"url":null,"abstract":"<div><div>This paper presents innovative numerical methodologies designed to solve challenging time fractional partial differential equations, with a focus on the Burgers’, Fisher–KPP, and nonlinear Schrödinger equations. By employing advanced wavelet techniques integrated with fractional calculus, we achieve highly accurate solutions, surpassing conventional methods with minimal absolute error in numerical simulations. A thorough series of numerical experiments validates the robustness and effectiveness of our approach across various parameter regimes and initial conditions. The results underscore significant advancements in the computational modeling of complex physical phenomena governed by time fractional dynamics and offering a powerful tool for a wide range of applications in science and engineering.</div></div>","PeriodicalId":34531,"journal":{"name":"Partial Differential Equations in Applied Mathematics","volume":"12 ","pages":"Article 100918"},"PeriodicalIF":0.0000,"publicationDate":"2024-09-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Partial Differential Equations in Applied Mathematics","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2666818124003048","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"Mathematics","Score":null,"Total":0}
引用次数: 0

Abstract

This paper presents innovative numerical methodologies designed to solve challenging time fractional partial differential equations, with a focus on the Burgers’, Fisher–KPP, and nonlinear Schrödinger equations. By employing advanced wavelet techniques integrated with fractional calculus, we achieve highly accurate solutions, surpassing conventional methods with minimal absolute error in numerical simulations. A thorough series of numerical experiments validates the robustness and effectiveness of our approach across various parameter regimes and initial conditions. The results underscore significant advancements in the computational modeling of complex physical phenomena governed by time fractional dynamics and offering a powerful tool for a wide range of applications in science and engineering.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
时间分数 PDE 的计算精度:欧拉小波和新型数值技术
本文介绍了旨在求解具有挑战性的时间分数偏微分方程的创新数值方法,重点是布尔格斯方程、费希尔-KPP方程和非线性薛定谔方程。通过采用与分数微积分相结合的先进小波技术,我们实现了高精度求解,在数值模拟中以最小的绝对误差超越了传统方法。一系列全面的数值实验验证了我们的方法在各种参数机制和初始条件下的稳健性和有效性。这些结果突显了时间分数动力学在复杂物理现象计算建模方面取得的重大进展,为科学和工程领域的广泛应用提供了强有力的工具。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
CiteScore
6.20
自引率
0.00%
发文量
138
审稿时长
14 weeks
期刊最新文献
Combined buoyancy and Marangoni convective heat transport of CNT-water nanofluid in an open chamber with influence of magnetic field and isothermal solid block Hydromagnetic blood flow through a channel of varying width bounded by porous media of finite thickness Application of the Atangana–Baleanu operator in Caputo sense for numerical solutions of the time-fractional Burgers–Fisher equation using finite difference approaches A rational optimal block hybrid method for enhanced accuracy in solving Lane–Emden equations Multi-parameter-based Box–Behnken design for optimizing energy transfer rate of Darcy–Forchheimer drag and mixed convective nanofluid flow over a permeable vertical surface with activation energy
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1