{"title":"单向波动方程的有限差分稳定性分析","authors":"K. Habib","doi":"10.56557/ajomcor/2022/v29i37974","DOIUrl":null,"url":null,"abstract":"There are many problems in the field of science, engineering and technology which can be solved by differential equations formulation. In this paper we consider the convergence of finite difference method Lax -Wondroff one step, Lax- Wondroff two step methods and Backward time central space for solving one dimensional, time-dependent hyperbolic equation with Drichlet boundary condition. We present the derivation of the schemes and develop a computer program using python software to implement it. By the support of the numerical problems convergence of the schemes have been determined. The explicit scheme is convergent and conditionally stable and implicit scheme is convergent and unconditionally stable for any value of growth factor G .","PeriodicalId":200824,"journal":{"name":"Asian Journal of Mathematics and Computer Research","volume":"21 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-12-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"STABILITY ANALYSIS OF FINITE DIFFERENCE METHOD FOR ONE WAY WAVE EQUATION\",\"authors\":\"K. Habib\",\"doi\":\"10.56557/ajomcor/2022/v29i37974\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"There are many problems in the field of science, engineering and technology which can be solved by differential equations formulation. In this paper we consider the convergence of finite difference method Lax -Wondroff one step, Lax- Wondroff two step methods and Backward time central space for solving one dimensional, time-dependent hyperbolic equation with Drichlet boundary condition. We present the derivation of the schemes and develop a computer program using python software to implement it. By the support of the numerical problems convergence of the schemes have been determined. The explicit scheme is convergent and conditionally stable and implicit scheme is convergent and unconditionally stable for any value of growth factor G .\",\"PeriodicalId\":200824,\"journal\":{\"name\":\"Asian Journal of Mathematics and Computer Research\",\"volume\":\"21 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-12-16\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Asian Journal of Mathematics and Computer Research\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.56557/ajomcor/2022/v29i37974\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Asian Journal of Mathematics and Computer Research","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.56557/ajomcor/2022/v29i37974","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
STABILITY ANALYSIS OF FINITE DIFFERENCE METHOD FOR ONE WAY WAVE EQUATION
There are many problems in the field of science, engineering and technology which can be solved by differential equations formulation. In this paper we consider the convergence of finite difference method Lax -Wondroff one step, Lax- Wondroff two step methods and Backward time central space for solving one dimensional, time-dependent hyperbolic equation with Drichlet boundary condition. We present the derivation of the schemes and develop a computer program using python software to implement it. By the support of the numerical problems convergence of the schemes have been determined. The explicit scheme is convergent and conditionally stable and implicit scheme is convergent and unconditionally stable for any value of growth factor G .