{"title":"Finding composition trees for multiple-valued functions","authors":"E. Dubrova, J. Muzio, B. Stengel","doi":"10.1109/ISMVL.1997.601368","DOIUrl":null,"url":null,"abstract":"The composition tree of a given function, when it exists, provides a representation of the function revealing all possible disjunctive decompositions, thereby suggesting a realization of the function at a minimal cost. Previously and independently, the authors had studied the class of multiple-valued functions that are fully sensitive to their variables. These functions are useful for test generation purposes, and almost all m-valued n-variable functions belong to this class as n increases. All functions in this class have composition trees. This paper presents a recursive algorithm for generating the composition tree for any function in this class. The construction proceeds top-down and makes immediate use of any encountered decomposition, which reduces the (in general exponential) computation time.","PeriodicalId":206024,"journal":{"name":"Proceedings 1997 27th International Symposium on Multiple- Valued Logic","volume":"67 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1997-05-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"13","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings 1997 27th International Symposium on Multiple- Valued Logic","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISMVL.1997.601368","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 13
Abstract
The composition tree of a given function, when it exists, provides a representation of the function revealing all possible disjunctive decompositions, thereby suggesting a realization of the function at a minimal cost. Previously and independently, the authors had studied the class of multiple-valued functions that are fully sensitive to their variables. These functions are useful for test generation purposes, and almost all m-valued n-variable functions belong to this class as n increases. All functions in this class have composition trees. This paper presents a recursive algorithm for generating the composition tree for any function in this class. The construction proceeds top-down and makes immediate use of any encountered decomposition, which reduces the (in general exponential) computation time.