{"title":"参数化复杂性:与实际计算的主要思想和联系","authors":"M. Fellows","doi":"10.1007/3-540-36383-1_3","DOIUrl":null,"url":null,"abstract":"","PeriodicalId":53707,"journal":{"name":"Journal of Experimental Algorithmics","volume":"73 1","pages":"1-19"},"PeriodicalIF":0.0000,"publicationDate":"2000-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"51","resultStr":"{\"title\":\"Parameterized Complexity: The Main Ideas and Connections to Practical Computing\",\"authors\":\"M. Fellows\",\"doi\":\"10.1007/3-540-36383-1_3\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"\",\"PeriodicalId\":53707,\"journal\":{\"name\":\"Journal of Experimental Algorithmics\",\"volume\":\"73 1\",\"pages\":\"1-19\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2000-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"51\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Experimental Algorithmics\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1007/3-540-36383-1_3\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"Mathematics\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Experimental Algorithmics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1007/3-540-36383-1_3","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"Mathematics","Score":null,"Total":0}
期刊介绍:
The ACM JEA is a high-quality, refereed, archival journal devoted to the study of discrete algorithms and data structures through a combination of experimentation and classical analysis and design techniques. It focuses on the following areas in algorithms and data structures: ■combinatorial optimization ■computational biology ■computational geometry ■graph manipulation ■graphics ■heuristics ■network design ■parallel processing ■routing and scheduling ■searching and sorting ■VLSI design