{"title":"自动发现循环程序的非线性排序函数","authors":"Yi Li","doi":"10.1109/ICCSIT.2009.5234919","DOIUrl":null,"url":null,"abstract":"We present a method for the synthesis of non-linear ranking function of a program loop. Based on the region-based search, it reduces the non-linear ranking function discovering to the inequality checking. The inequality prover BOTTEMA then can be utilized to check validity for inequalities. In contrast to other approaches, the new approach can also discover the ranking function with the radicals due to BOTTEMA's distinct features. Several interesting examples are given to illustrate our technique.","PeriodicalId":342396,"journal":{"name":"2009 2nd IEEE International Conference on Computer Science and Information Technology","volume":"13 3 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2009-09-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"6","resultStr":"{\"title\":\"Automatic discovery of non-linear ranking functions of loop programs\",\"authors\":\"Yi Li\",\"doi\":\"10.1109/ICCSIT.2009.5234919\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"We present a method for the synthesis of non-linear ranking function of a program loop. Based on the region-based search, it reduces the non-linear ranking function discovering to the inequality checking. The inequality prover BOTTEMA then can be utilized to check validity for inequalities. In contrast to other approaches, the new approach can also discover the ranking function with the radicals due to BOTTEMA's distinct features. Several interesting examples are given to illustrate our technique.\",\"PeriodicalId\":342396,\"journal\":{\"name\":\"2009 2nd IEEE International Conference on Computer Science and Information Technology\",\"volume\":\"13 3 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2009-09-11\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"6\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2009 2nd IEEE International Conference on Computer Science and Information Technology\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICCSIT.2009.5234919\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2009 2nd IEEE International Conference on Computer Science and Information Technology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCSIT.2009.5234919","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Automatic discovery of non-linear ranking functions of loop programs
We present a method for the synthesis of non-linear ranking function of a program loop. Based on the region-based search, it reduces the non-linear ranking function discovering to the inequality checking. The inequality prover BOTTEMA then can be utilized to check validity for inequalities. In contrast to other approaches, the new approach can also discover the ranking function with the radicals due to BOTTEMA's distinct features. Several interesting examples are given to illustrate our technique.