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

IF 12.1 2区 工程技术 Q1 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS
Muhammad Umer, Paweł Olejnik
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引用次数: 0

摘要

本文综述了用于求解对称和非对称动力学问题的现代近似解析方法,包括格林函数摄动法、正则摄动法、Adomian分解法、待定系数法、poincar - lindstedt法和多尺度分析法。每种方法的适用性是根据其目的、约束、数学领域和可访问性来评估的。实例应用演示了求解过程和每种方法的有效性,并与数值结果验证了解析解的准确性和稳定性。优点、缺点和适当应用的比较以表格形式呈现,以帮助选择适合特定问题的方法。最后,本评估强调了未来的趋势和潜在的应用在工程和应用科学。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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.

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来源期刊
CiteScore
19.80
自引率
4.10%
发文量
153
审稿时长
>12 weeks
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.
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