Fikret Gölgeleyen , Ismet Gölgeleyen , Muhammed Hasdemir
{"title":"A hybrid solution method for an inverse problem for the general transport equation","authors":"Fikret Gölgeleyen , Ismet Gölgeleyen , Muhammed Hasdemir","doi":"10.1016/j.camwa.2025.05.014","DOIUrl":null,"url":null,"abstract":"<div><div>In this work, we deal with an inverse source problem for a general transport equation. First, we discuss the solvability of the problem. Next, in order to solve the problem, we propose a new hybrid numerical algorithm which is based on the finite difference method, Newton-Cotes formula, Lagrange polynomial approximation and composite trapezoidal rule. The proposed method is tested on several examples and the results show that the relative errors in the computation are sufficiently small and the algorithm is robust to data noises.</div></div>","PeriodicalId":55218,"journal":{"name":"Computers & Mathematics with Applications","volume":"192 ","pages":"Pages 172-188"},"PeriodicalIF":2.9000,"publicationDate":"2025-05-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Computers & Mathematics with Applications","FirstCategoryId":"100","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0898122125002135","RegionNum":2,"RegionCategory":"数学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"MATHEMATICS, APPLIED","Score":null,"Total":0}
引用次数: 0
Abstract
In this work, we deal with an inverse source problem for a general transport equation. First, we discuss the solvability of the problem. Next, in order to solve the problem, we propose a new hybrid numerical algorithm which is based on the finite difference method, Newton-Cotes formula, Lagrange polynomial approximation and composite trapezoidal rule. The proposed method is tested on several examples and the results show that the relative errors in the computation are sufficiently small and the algorithm is robust to data noises.
期刊介绍:
Computers & Mathematics with Applications provides a medium of exchange for those engaged in fields contributing to building successful simulations for science and engineering using Partial Differential Equations (PDEs).