{"title":"用微分变换法和费马配点法求解分数阶微分方程:公式收敛与误差分析","authors":"A. S. Mohamed","doi":"10.1002/nme.70099","DOIUrl":null,"url":null,"abstract":"<div>\n \n <p>This paper shows how to solve fractional differential equations (FDEs) with two methods: the differential transform method (DTM) and the Fermat collocation method (FCM). Provides a comprehensive overview of the formulation and features of both algorithms. The first method turns the differential equation and its boundary conditions into a series using a step-by-step process, then obtains the exact solution. The second method converts the equation into a set of simpler equations for the coefficients. We used Fermat polynomials (FPs) as the basis functions and evaluated the coefficients using matrix techniques. The paper also looks at how well these methods work and what kind of errors to expect. An analysis of the convergence behavior and the associated computational complexity is also presented in the paper. We solved many test problems using our methods and compared the errors with those obtained from other methods. The results of this comparison highlight the superior accuracy and effectiveness of the proposed techniques over alternative methods.</p>\n </div>","PeriodicalId":13699,"journal":{"name":"International Journal for Numerical Methods in Engineering","volume":"126 16","pages":""},"PeriodicalIF":2.9000,"publicationDate":"2025-08-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Solving Fractional Differential Equations Using Differential Transform Method and Fermat Collocation Method: Formulation Convergence and Error Analysis\",\"authors\":\"A. S. Mohamed\",\"doi\":\"10.1002/nme.70099\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div>\\n \\n <p>This paper shows how to solve fractional differential equations (FDEs) with two methods: the differential transform method (DTM) and the Fermat collocation method (FCM). Provides a comprehensive overview of the formulation and features of both algorithms. The first method turns the differential equation and its boundary conditions into a series using a step-by-step process, then obtains the exact solution. The second method converts the equation into a set of simpler equations for the coefficients. We used Fermat polynomials (FPs) as the basis functions and evaluated the coefficients using matrix techniques. The paper also looks at how well these methods work and what kind of errors to expect. An analysis of the convergence behavior and the associated computational complexity is also presented in the paper. We solved many test problems using our methods and compared the errors with those obtained from other methods. The results of this comparison highlight the superior accuracy and effectiveness of the proposed techniques over alternative methods.</p>\\n </div>\",\"PeriodicalId\":13699,\"journal\":{\"name\":\"International Journal for Numerical Methods in Engineering\",\"volume\":\"126 16\",\"pages\":\"\"},\"PeriodicalIF\":2.9000,\"publicationDate\":\"2025-08-25\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International Journal for Numerical Methods in Engineering\",\"FirstCategoryId\":\"5\",\"ListUrlMain\":\"https://onlinelibrary.wiley.com/doi/10.1002/nme.70099\",\"RegionNum\":3,\"RegionCategory\":\"工程技术\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"ENGINEERING, MULTIDISCIPLINARY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal for Numerical Methods in Engineering","FirstCategoryId":"5","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1002/nme.70099","RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENGINEERING, MULTIDISCIPLINARY","Score":null,"Total":0}
Solving Fractional Differential Equations Using Differential Transform Method and Fermat Collocation Method: Formulation Convergence and Error Analysis
This paper shows how to solve fractional differential equations (FDEs) with two methods: the differential transform method (DTM) and the Fermat collocation method (FCM). Provides a comprehensive overview of the formulation and features of both algorithms. The first method turns the differential equation and its boundary conditions into a series using a step-by-step process, then obtains the exact solution. The second method converts the equation into a set of simpler equations for the coefficients. We used Fermat polynomials (FPs) as the basis functions and evaluated the coefficients using matrix techniques. The paper also looks at how well these methods work and what kind of errors to expect. An analysis of the convergence behavior and the associated computational complexity is also presented in the paper. We solved many test problems using our methods and compared the errors with those obtained from other methods. The results of this comparison highlight the superior accuracy and effectiveness of the proposed techniques over alternative methods.
期刊介绍:
The International Journal for Numerical Methods in Engineering publishes original papers describing significant, novel developments in numerical methods that are applicable to engineering problems.
The Journal is known for welcoming contributions in a wide range of areas in computational engineering, including computational issues in model reduction, uncertainty quantification, verification and validation, inverse analysis and stochastic methods, optimisation, element technology, solution techniques and parallel computing, damage and fracture, mechanics at micro and nano-scales, low-speed fluid dynamics, fluid-structure interaction, electromagnetics, coupled diffusion phenomena, and error estimation and mesh generation. It is emphasized that this is by no means an exhaustive list, and particularly papers on multi-scale, multi-physics or multi-disciplinary problems, and on new, emerging topics are welcome.