{"title":"Extracting explicit coefficient formulas: A robust approach to the laplace residual power series method","authors":"","doi":"10.1016/j.aej.2024.08.091","DOIUrl":null,"url":null,"abstract":"<div><p>This work presents a novel advancement to the Laplace Residual Power Series Method (LRPSM) for solving fractional differential equations by specifically utilizing the Caputo fractional derivative. The conventional LRPSM relies on iterative calculations of the residual function to determine the series coefficients. We address this limitation by deriving a direct formula that yields all coefficients at once. This innovation significantly streamlines the computational process compared to the traditional LRPSM, leading to a more efficient method.</p></div>","PeriodicalId":7484,"journal":{"name":"alexandria engineering journal","volume":null,"pages":null},"PeriodicalIF":6.2000,"publicationDate":"2024-09-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S1110016824009888/pdfft?md5=d3e591329c35bded22686c9a4da5c693&pid=1-s2.0-S1110016824009888-main.pdf","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"alexandria engineering journal","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1110016824009888","RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENGINEERING, MULTIDISCIPLINARY","Score":null,"Total":0}
引用次数: 0
Abstract
This work presents a novel advancement to the Laplace Residual Power Series Method (LRPSM) for solving fractional differential equations by specifically utilizing the Caputo fractional derivative. The conventional LRPSM relies on iterative calculations of the residual function to determine the series coefficients. We address this limitation by deriving a direct formula that yields all coefficients at once. This innovation significantly streamlines the computational process compared to the traditional LRPSM, leading to a more efficient method.
期刊介绍:
Alexandria Engineering Journal is an international journal devoted to publishing high quality papers in the field of engineering and applied science. Alexandria Engineering Journal is cited in the Engineering Information Services (EIS) and the Chemical Abstracts (CA). The papers published in Alexandria Engineering Journal are grouped into five sections, according to the following classification:
• Mechanical, Production, Marine and Textile Engineering
• Electrical Engineering, Computer Science and Nuclear Engineering
• Civil and Architecture Engineering
• Chemical Engineering and Applied Sciences
• Environmental Engineering