{"title":"为有效的符号表示生成排序的函数方法","authors":"M. R. Mercer, R. Kapur, D. Ross","doi":"10.1109/DAC.1992.227810","DOIUrl":null,"url":null,"abstract":"The authors present a functional approach to generating orderings for representing functions. They develop a cost function which closely mimics the ordered binary decision diagram operations and can be quickly computed. Using the cost as a metric for an ordering, an annealing procedure was used to arrive at good variable orderings. The results obtained by simulated annealing are compared to orderings generated from heuristics that use circuit topology to arrive at a variable ordering.<<ETX>>","PeriodicalId":162648,"journal":{"name":"[1992] Proceedings 29th ACM/IEEE Design Automation Conference","volume":"38 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1992-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"59","resultStr":"{\"title\":\"Functional approaches to generating orderings for efficient symbolic representations\",\"authors\":\"M. R. Mercer, R. Kapur, D. Ross\",\"doi\":\"10.1109/DAC.1992.227810\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The authors present a functional approach to generating orderings for representing functions. They develop a cost function which closely mimics the ordered binary decision diagram operations and can be quickly computed. Using the cost as a metric for an ordering, an annealing procedure was used to arrive at good variable orderings. The results obtained by simulated annealing are compared to orderings generated from heuristics that use circuit topology to arrive at a variable ordering.<<ETX>>\",\"PeriodicalId\":162648,\"journal\":{\"name\":\"[1992] Proceedings 29th ACM/IEEE Design Automation Conference\",\"volume\":\"38 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1992-07-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"59\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"[1992] Proceedings 29th ACM/IEEE Design Automation Conference\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/DAC.1992.227810\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"[1992] Proceedings 29th ACM/IEEE Design Automation Conference","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/DAC.1992.227810","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Functional approaches to generating orderings for efficient symbolic representations
The authors present a functional approach to generating orderings for representing functions. They develop a cost function which closely mimics the ordered binary decision diagram operations and can be quickly computed. Using the cost as a metric for an ordering, an annealing procedure was used to arrive at good variable orderings. The results obtained by simulated annealing are compared to orderings generated from heuristics that use circuit topology to arrive at a variable ordering.<>