{"title":"非线性微分方程的近似解析方法:工程中摄动、分解和系数法的综述","authors":"Muhammad Umer, Paweł Olejnik","doi":"10.1007/s11831-025-10221-y","DOIUrl":null,"url":null,"abstract":"<div><p>This paper reviews modern approximate analytical methods for solving symmetric and non-symmetric dynamical problems, including the Perturbation Method using the Green function, the Regular Perturbation Method, the Adomian Decomposition Method, the Undetermined Coefficient Method, the Poincaré-Lindstedt Method, and Multiple-Scale Analysis. The applicability of each method is assessed based on its purpose, constraints, mathematical domain, and accessibility. Example applications demonstrate the solution process and the effectiveness of each method, with analytical solutions verified against numerical results for accuracy and stability. A comparison of the advantages, disadvantages, and suitable applications is presented in tabular form to aid in selecting the appropriate method for specific problems. Finally, this evaluation highlights future trends and potential applications in engineering and applied sciences.</p></div>","PeriodicalId":55473,"journal":{"name":"Archives of Computational Methods in Engineering","volume":"32 5","pages":"2767 - 2798"},"PeriodicalIF":12.1000,"publicationDate":"2025-01-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Approximate Analytical Approaches to Nonlinear Differential Equations: A Review of Perturbation, Decomposition and Coefficient Methods in Engineering\",\"authors\":\"Muhammad Umer, Paweł Olejnik\",\"doi\":\"10.1007/s11831-025-10221-y\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>This paper reviews modern approximate analytical methods for solving symmetric and non-symmetric dynamical problems, including the Perturbation Method using the Green function, the Regular Perturbation Method, the Adomian Decomposition Method, the Undetermined Coefficient Method, the Poincaré-Lindstedt Method, and Multiple-Scale Analysis. The applicability of each method is assessed based on its purpose, constraints, mathematical domain, and accessibility. Example applications demonstrate the solution process and the effectiveness of each method, with analytical solutions verified against numerical results for accuracy and stability. A comparison of the advantages, disadvantages, and suitable applications is presented in tabular form to aid in selecting the appropriate method for specific problems. Finally, this evaluation highlights future trends and potential applications in engineering and applied sciences.</p></div>\",\"PeriodicalId\":55473,\"journal\":{\"name\":\"Archives of Computational Methods in Engineering\",\"volume\":\"32 5\",\"pages\":\"2767 - 2798\"},\"PeriodicalIF\":12.1000,\"publicationDate\":\"2025-01-17\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Archives of Computational Methods in Engineering\",\"FirstCategoryId\":\"5\",\"ListUrlMain\":\"https://link.springer.com/article/10.1007/s11831-025-10221-y\",\"RegionNum\":2,\"RegionCategory\":\"工程技术\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Archives of Computational Methods in Engineering","FirstCategoryId":"5","ListUrlMain":"https://link.springer.com/article/10.1007/s11831-025-10221-y","RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS","Score":null,"Total":0}
Approximate Analytical Approaches to Nonlinear Differential Equations: A Review of Perturbation, Decomposition and Coefficient Methods in Engineering
This paper reviews modern approximate analytical methods for solving symmetric and non-symmetric dynamical problems, including the Perturbation Method using the Green function, the Regular Perturbation Method, the Adomian Decomposition Method, the Undetermined Coefficient Method, the Poincaré-Lindstedt Method, and Multiple-Scale Analysis. The applicability of each method is assessed based on its purpose, constraints, mathematical domain, and accessibility. Example applications demonstrate the solution process and the effectiveness of each method, with analytical solutions verified against numerical results for accuracy and stability. A comparison of the advantages, disadvantages, and suitable applications is presented in tabular form to aid in selecting the appropriate method for specific problems. Finally, this evaluation highlights future trends and potential applications in engineering and applied sciences.
期刊介绍:
Archives of Computational Methods in Engineering
Aim and Scope:
Archives of Computational Methods in Engineering serves as an active forum for disseminating research and advanced practices in computational engineering, particularly focusing on mechanics and related fields. The journal emphasizes extended state-of-the-art reviews in selected areas, a unique feature of its publication.
Review Format:
Reviews published in the journal offer:
A survey of current literature
Critical exposition of topics in their full complexity
By organizing the information in this manner, readers can quickly grasp the focus, coverage, and unique features of the Archives of Computational Methods in Engineering.