{"title":"二叉搜索树的平衡方法","authors":"J. Cannady","doi":"10.1145/503643.503684","DOIUrl":null,"url":null,"abstract":"Binary search trees have received a great deal of attention in recent years. As a result of this interest, several methods have been developed for balancing them; namely, random, height-balanced, bounded-balance, and weight-balanced trees. These methods which include weighted and non-weighted binary search trees are grouped into two classes: 1) dynamic balancing and 2) total restructuring. The rational and properties of the more significant methods are discussed and compared with other tree balancing algorithms. These comparisons provide insight about the conditions under which an algorithm is appropriate.","PeriodicalId":166583,"journal":{"name":"Proceedings of the 16th annual Southeast regional conference","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1978-04-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"Balancing methods for binary search trees\",\"authors\":\"J. Cannady\",\"doi\":\"10.1145/503643.503684\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Binary search trees have received a great deal of attention in recent years. As a result of this interest, several methods have been developed for balancing them; namely, random, height-balanced, bounded-balance, and weight-balanced trees. These methods which include weighted and non-weighted binary search trees are grouped into two classes: 1) dynamic balancing and 2) total restructuring. The rational and properties of the more significant methods are discussed and compared with other tree balancing algorithms. These comparisons provide insight about the conditions under which an algorithm is appropriate.\",\"PeriodicalId\":166583,\"journal\":{\"name\":\"Proceedings of the 16th annual Southeast regional conference\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1978-04-13\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the 16th annual Southeast regional conference\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/503643.503684\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 16th annual Southeast regional conference","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/503643.503684","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Binary search trees have received a great deal of attention in recent years. As a result of this interest, several methods have been developed for balancing them; namely, random, height-balanced, bounded-balance, and weight-balanced trees. These methods which include weighted and non-weighted binary search trees are grouped into two classes: 1) dynamic balancing and 2) total restructuring. The rational and properties of the more significant methods are discussed and compared with other tree balancing algorithms. These comparisons provide insight about the conditions under which an algorithm is appropriate.