{"title":"论在本科数值方法课程中使用解释语言PIL的经验","authors":"J. Muskat, Francis E. Sullivan, Paul R. Borman","doi":"10.1145/2402536.2402574","DOIUrl":null,"url":null,"abstract":"The University of Pittsburgh's numerical calculus course acquaints students with various algorithms for interpolation, functional approximation, numerical differentiation and integration, and solving nonlinear equations. Computational and coding efficiency, regions and rates of convergence, and effects of errors are stressed.","PeriodicalId":148361,"journal":{"name":"Symposium on Interactive Systems for Experimental Applied Mathematics","volume":"52 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1967-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"On experiences with PIL, an interpretive language, in an undergraduate numerical methods course\",\"authors\":\"J. Muskat, Francis E. Sullivan, Paul R. Borman\",\"doi\":\"10.1145/2402536.2402574\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The University of Pittsburgh's numerical calculus course acquaints students with various algorithms for interpolation, functional approximation, numerical differentiation and integration, and solving nonlinear equations. Computational and coding efficiency, regions and rates of convergence, and effects of errors are stressed.\",\"PeriodicalId\":148361,\"journal\":{\"name\":\"Symposium on Interactive Systems for Experimental Applied Mathematics\",\"volume\":\"52 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1967-08-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Symposium on Interactive Systems for Experimental Applied Mathematics\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/2402536.2402574\",\"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/10.1145/2402536.2402574","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
On experiences with PIL, an interpretive language, in an undergraduate numerical methods course
The University of Pittsburgh's numerical calculus course acquaints students with various algorithms for interpolation, functional approximation, numerical differentiation and integration, and solving nonlinear equations. Computational and coding efficiency, regions and rates of convergence, and effects of errors are stressed.
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