{"title":"一个用于常微分方程系统积分的学习程序","authors":"L. Gallaher, I. E. Perlin","doi":"10.1145/2402536.2402573","DOIUrl":null,"url":null,"abstract":"In our previous work [1, 2], an effort was made to determine which of the many methods and orders available for the numerical integration of ordinary differential equations was best. While it was possible to show that, under certain circumstances, some methods and orders outperformed others, no one method was clearly superior under all circumstances.","PeriodicalId":148361,"journal":{"name":"Symposium on Interactive Systems for Experimental Applied Mathematics","volume":"17 3","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1967-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"A learning program for the integration of systems of ordinary differential equations\",\"authors\":\"L. Gallaher, I. E. Perlin\",\"doi\":\"10.1145/2402536.2402573\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In our previous work [1, 2], an effort was made to determine which of the many methods and orders available for the numerical integration of ordinary differential equations was best. While it was possible to show that, under certain circumstances, some methods and orders outperformed others, no one method was clearly superior under all circumstances.\",\"PeriodicalId\":148361,\"journal\":{\"name\":\"Symposium on Interactive Systems for Experimental Applied Mathematics\",\"volume\":\"17 3\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1967-08-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Symposium on Interactive Systems for Experimental Applied Mathematics\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/2402536.2402573\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Symposium on Interactive Systems for Experimental Applied Mathematics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/2402536.2402573","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A learning program for the integration of systems of ordinary differential equations
In our previous work [1, 2], an effort was made to determine which of the many methods and orders available for the numerical integration of ordinary differential equations was best. While it was possible to show that, under certain circumstances, some methods and orders outperformed others, no one method was clearly superior under all circumstances.
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