{"title":"Kleene tdd的分解研究","authors":"Y. Iguchi, Tsutomu Sasao, M. Matsuura","doi":"10.1109/ATS.1997.643964","DOIUrl":null,"url":null,"abstract":"Kleene-TDDs are useful for evaluating logic functions in the presence of unknown inputs, 0 or 1. Although Kleene-TDD-based logic simulation is promising, the size of Kleene-TDD for an n-variable function is O(3/sup n//n). Thus, when n is large, the Kleene-TDDs are often too large to build. In this paper, we propose several methods to decompose Kleene-TDDs. By using this method, we can generate smaller Kleene-TDDs for sub-functions independently to reduce the necessary memory. Preliminary experimental results show that the effectiveness of the presented approach.","PeriodicalId":330767,"journal":{"name":"Proceedings Sixth Asian Test Symposium (ATS'97)","volume":"127 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1997-11-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"On decomposition of Kleene TDDs\",\"authors\":\"Y. Iguchi, Tsutomu Sasao, M. Matsuura\",\"doi\":\"10.1109/ATS.1997.643964\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Kleene-TDDs are useful for evaluating logic functions in the presence of unknown inputs, 0 or 1. Although Kleene-TDD-based logic simulation is promising, the size of Kleene-TDD for an n-variable function is O(3/sup n//n). Thus, when n is large, the Kleene-TDDs are often too large to build. In this paper, we propose several methods to decompose Kleene-TDDs. By using this method, we can generate smaller Kleene-TDDs for sub-functions independently to reduce the necessary memory. Preliminary experimental results show that the effectiveness of the presented approach.\",\"PeriodicalId\":330767,\"journal\":{\"name\":\"Proceedings Sixth Asian Test Symposium (ATS'97)\",\"volume\":\"127 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1997-11-17\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings Sixth Asian Test Symposium (ATS'97)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ATS.1997.643964\",\"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 Sixth Asian Test Symposium (ATS'97)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ATS.1997.643964","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Kleene-TDDs are useful for evaluating logic functions in the presence of unknown inputs, 0 or 1. Although Kleene-TDD-based logic simulation is promising, the size of Kleene-TDD for an n-variable function is O(3/sup n//n). Thus, when n is large, the Kleene-TDDs are often too large to build. In this paper, we propose several methods to decompose Kleene-TDDs. By using this method, we can generate smaller Kleene-TDDs for sub-functions independently to reduce the necessary memory. Preliminary experimental results show that the effectiveness of the presented approach.