{"title":"一个面向对象的库来管理收集的Schittkowski测试问题的非线性优化","authors":"J. Meza, Ricardo A. Oliva","doi":"10.1145/948542.948544","DOIUrl":null,"url":null,"abstract":"This paper describes a C++ library that allows handling these test problems in an object-oriented manner without replacing the original Fortran code. The class includes wrappers for evaluating the functions defining each problem, in addition to methods that allow the user to query whether certain features are present in a given test problem. This makes it possible to classify and select subsets of the problems according to criteria specific for the code being tested.","PeriodicalId":326471,"journal":{"name":"Richard Tapia Celebration of Diversity in Computing Conference","volume":"61 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2003-10-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":"{\"title\":\"An object oriented library to manage the collection of Schittkowski test problems for nonlinear optimization\",\"authors\":\"J. Meza, Ricardo A. Oliva\",\"doi\":\"10.1145/948542.948544\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper describes a C++ library that allows handling these test problems in an object-oriented manner without replacing the original Fortran code. The class includes wrappers for evaluating the functions defining each problem, in addition to methods that allow the user to query whether certain features are present in a given test problem. This makes it possible to classify and select subsets of the problems according to criteria specific for the code being tested.\",\"PeriodicalId\":326471,\"journal\":{\"name\":\"Richard Tapia Celebration of Diversity in Computing Conference\",\"volume\":\"61 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2003-10-15\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"4\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Richard Tapia Celebration of Diversity in Computing Conference\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/948542.948544\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Richard Tapia Celebration of Diversity in Computing Conference","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/948542.948544","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
An object oriented library to manage the collection of Schittkowski test problems for nonlinear optimization
This paper describes a C++ library that allows handling these test problems in an object-oriented manner without replacing the original Fortran code. The class includes wrappers for evaluating the functions defining each problem, in addition to methods that allow the user to query whether certain features are present in a given test problem. This makes it possible to classify and select subsets of the problems according to criteria specific for the code being tested.