{"title":"改变步长对线性多步码的影响","authors":"L. Shampine, P. Bogacki","doi":"10.1137/0910060","DOIUrl":null,"url":null,"abstract":"In the usual convergence theory for linear multistep methods, a constant stepsize h is used. For a method of order p, the discretization error is proportional to $h^{p + 1} $. In a variable step code, it is necessary to predict what the discretization error would be if the stepsize were changed to $rh$. It is usual to say that the observed error will be altered by a factor of $r^{p + 1} $. Unfortunately this is not correct for multistep methods. The discrepancy arises in the fact that the usual theory does not model the way variable stepsize codes actually work. In this paper the correct behavior is determined for important classes of formulas and ways of changing stepsize.","PeriodicalId":200176,"journal":{"name":"Siam Journal on Scientific and Statistical Computing","volume":"33 4","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1989-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"12","resultStr":"{\"title\":\"The Effect of Changing the Stepsize in Linear Multistep Codes\",\"authors\":\"L. Shampine, P. Bogacki\",\"doi\":\"10.1137/0910060\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In the usual convergence theory for linear multistep methods, a constant stepsize h is used. For a method of order p, the discretization error is proportional to $h^{p + 1} $. In a variable step code, it is necessary to predict what the discretization error would be if the stepsize were changed to $rh$. It is usual to say that the observed error will be altered by a factor of $r^{p + 1} $. Unfortunately this is not correct for multistep methods. The discrepancy arises in the fact that the usual theory does not model the way variable stepsize codes actually work. In this paper the correct behavior is determined for important classes of formulas and ways of changing stepsize.\",\"PeriodicalId\":200176,\"journal\":{\"name\":\"Siam Journal on Scientific and Statistical Computing\",\"volume\":\"33 4\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1989-09-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"12\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Siam Journal on Scientific and Statistical Computing\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1137/0910060\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Siam Journal on Scientific and Statistical Computing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1137/0910060","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
The Effect of Changing the Stepsize in Linear Multistep Codes
In the usual convergence theory for linear multistep methods, a constant stepsize h is used. For a method of order p, the discretization error is proportional to $h^{p + 1} $. In a variable step code, it is necessary to predict what the discretization error would be if the stepsize were changed to $rh$. It is usual to say that the observed error will be altered by a factor of $r^{p + 1} $. Unfortunately this is not correct for multistep methods. The discrepancy arises in the fact that the usual theory does not model the way variable stepsize codes actually work. In this paper the correct behavior is determined for important classes of formulas and ways of changing stepsize.