{"title":"An efficient Tau approach for solving a class of third-kind Volterra integral equations with proportional delays","authors":"E. Aourir , H. Laeli Dastjerdi , M. Oudani","doi":"10.1016/j.cam.2026.117370","DOIUrl":null,"url":null,"abstract":"<div><div>This work presents a new algorithm for solving a kind of Volterra delay integral equations of the third kind (VDIEs). Using the Tau method and generalized polynomial bases, our developed method is a robust approach for solving these equations. Specifically, we employ simple matrix operations to enhance the Tau approach. The underlying strategy leverages orthogonal polynomial bases to change the original equation into a matrix-vector form. Such a transformation makes the third-kind VDIEs easier to handle by turning them into a set of algebraic equations. Importantly, this method exhibits good stability, reduces memory usage, and is computationally cost-effective. The paper details the algorithm’s formulation and shows its capability to provide approximate polynomial solutions. We perform a thorough error estimation to check the method’s accuracy. To demonstrate its practical effectiveness, we use several numerical examples. The obtained results highlight the performance of the method and prove its alignment with theoretical error predictions. Furthermore, a comparative analysis with analytical solutions and alternative methods reaffirms the efficiency of the developed approach.</div></div>","PeriodicalId":50226,"journal":{"name":"Journal of Computational and Applied Mathematics","volume":"483 ","pages":"Article 117370"},"PeriodicalIF":2.4000,"publicationDate":"2026-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Computational and Applied Mathematics","FirstCategoryId":"100","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0377042726000361","RegionNum":2,"RegionCategory":"数学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2026/1/19 0:00:00","PubModel":"Epub","JCR":"Q1","JCRName":"MATHEMATICS, APPLIED","Score":null,"Total":0}
引用次数: 0
Abstract
This work presents a new algorithm for solving a kind of Volterra delay integral equations of the third kind (VDIEs). Using the Tau method and generalized polynomial bases, our developed method is a robust approach for solving these equations. Specifically, we employ simple matrix operations to enhance the Tau approach. The underlying strategy leverages orthogonal polynomial bases to change the original equation into a matrix-vector form. Such a transformation makes the third-kind VDIEs easier to handle by turning them into a set of algebraic equations. Importantly, this method exhibits good stability, reduces memory usage, and is computationally cost-effective. The paper details the algorithm’s formulation and shows its capability to provide approximate polynomial solutions. We perform a thorough error estimation to check the method’s accuracy. To demonstrate its practical effectiveness, we use several numerical examples. The obtained results highlight the performance of the method and prove its alignment with theoretical error predictions. Furthermore, a comparative analysis with analytical solutions and alternative methods reaffirms the efficiency of the developed approach.
期刊介绍:
The Journal of Computational and Applied Mathematics publishes original papers of high scientific value in all areas of computational and applied mathematics. The main interest of the Journal is in papers that describe and analyze new computational techniques for solving scientific or engineering problems. Also the improved analysis, including the effectiveness and applicability, of existing methods and algorithms is of importance. The computational efficiency (e.g. the convergence, stability, accuracy, ...) should be proved and illustrated by nontrivial numerical examples. Papers describing only variants of existing methods, without adding significant new computational properties are not of interest.
The audience consists of: applied mathematicians, numerical analysts, computational scientists and engineers.