{"title":"线性非齐次中性受电弓方程的全几何网格变系数BDF方法","authors":"Zhixiang Jin , Chengjian Zhang","doi":"10.1016/j.amc.2025.129412","DOIUrl":null,"url":null,"abstract":"<div><div>This paper deals with numerical computation and analysis for the initial value problems (IVPs) of linear nonhomogeneous neutral pantograph equations. For solving this kind of IVPs, a class of extended <em>k</em>-step variable-coefficient backward differentiation formula (BDF) methods with fully-geometric grid are constructed. It is proved under the suitable conditions that an extended <em>k</em>-step variable-coefficient BDF method can arrive at <em>k</em>-order accuracy and is asymptotically stable. With a series of numerical experiments, the computational effectiveness and theoretical results of the presented methods are further confirmed.</div></div>","PeriodicalId":55496,"journal":{"name":"Applied Mathematics and Computation","volume":"499 ","pages":"Article 129412"},"PeriodicalIF":3.5000,"publicationDate":"2025-03-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Variable-coefficient BDF methods with fully-geometric grid for linear nonhomogeneous neutral pantograph equations\",\"authors\":\"Zhixiang Jin , Chengjian Zhang\",\"doi\":\"10.1016/j.amc.2025.129412\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>This paper deals with numerical computation and analysis for the initial value problems (IVPs) of linear nonhomogeneous neutral pantograph equations. For solving this kind of IVPs, a class of extended <em>k</em>-step variable-coefficient backward differentiation formula (BDF) methods with fully-geometric grid are constructed. It is proved under the suitable conditions that an extended <em>k</em>-step variable-coefficient BDF method can arrive at <em>k</em>-order accuracy and is asymptotically stable. With a series of numerical experiments, the computational effectiveness and theoretical results of the presented methods are further confirmed.</div></div>\",\"PeriodicalId\":55496,\"journal\":{\"name\":\"Applied Mathematics and Computation\",\"volume\":\"499 \",\"pages\":\"Article 129412\"},\"PeriodicalIF\":3.5000,\"publicationDate\":\"2025-03-20\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Applied Mathematics and Computation\",\"FirstCategoryId\":\"100\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0096300325001390\",\"RegionNum\":2,\"RegionCategory\":\"数学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"MATHEMATICS, APPLIED\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Applied Mathematics and Computation","FirstCategoryId":"100","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0096300325001390","RegionNum":2,"RegionCategory":"数学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"MATHEMATICS, APPLIED","Score":null,"Total":0}
Variable-coefficient BDF methods with fully-geometric grid for linear nonhomogeneous neutral pantograph equations
This paper deals with numerical computation and analysis for the initial value problems (IVPs) of linear nonhomogeneous neutral pantograph equations. For solving this kind of IVPs, a class of extended k-step variable-coefficient backward differentiation formula (BDF) methods with fully-geometric grid are constructed. It is proved under the suitable conditions that an extended k-step variable-coefficient BDF method can arrive at k-order accuracy and is asymptotically stable. With a series of numerical experiments, the computational effectiveness and theoretical results of the presented methods are further confirmed.
期刊介绍:
Applied Mathematics and Computation addresses work at the interface between applied mathematics, numerical computation, and applications of systems – oriented ideas to the physical, biological, social, and behavioral sciences, and emphasizes papers of a computational nature focusing on new algorithms, their analysis and numerical results.
In addition to presenting research papers, Applied Mathematics and Computation publishes review articles and single–topics issues.