{"title":"将超立方体嵌入环面和路径及/或循环的笛卡尔乘积,以尽量减少线长","authors":"Zhiyi Tang","doi":"10.1016/j.jcss.2024.103603","DOIUrl":null,"url":null,"abstract":"<div><div>Though embedding problems have been considered for several regular graphs <span><span>[1]</span></span>, <span><span>[2]</span></span>, <span><span>[3]</span></span>, it is still an open problem for hypercube into torus <span><span>[4]</span></span>, <span><span>[2]</span></span>. In the paper, we prove the conjecture mathematically and obtain the minimum wirelength of embedding for hypercube into Cartesian product of paths and/or cycles. In addition, we explain that Gray code embedding is an optimal strategy in such embedding problems.</div></div>","PeriodicalId":50224,"journal":{"name":"Journal of Computer and System Sciences","volume":"148 ","pages":"Article 103603"},"PeriodicalIF":1.1000,"publicationDate":"2024-11-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Embedding hypercubes into torus and Cartesian product of paths and/or cycles for minimizing wirelength\",\"authors\":\"Zhiyi Tang\",\"doi\":\"10.1016/j.jcss.2024.103603\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>Though embedding problems have been considered for several regular graphs <span><span>[1]</span></span>, <span><span>[2]</span></span>, <span><span>[3]</span></span>, it is still an open problem for hypercube into torus <span><span>[4]</span></span>, <span><span>[2]</span></span>. In the paper, we prove the conjecture mathematically and obtain the minimum wirelength of embedding for hypercube into Cartesian product of paths and/or cycles. In addition, we explain that Gray code embedding is an optimal strategy in such embedding problems.</div></div>\",\"PeriodicalId\":50224,\"journal\":{\"name\":\"Journal of Computer and System Sciences\",\"volume\":\"148 \",\"pages\":\"Article 103603\"},\"PeriodicalIF\":1.1000,\"publicationDate\":\"2024-11-13\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Computer and System Sciences\",\"FirstCategoryId\":\"94\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0022000024000989\",\"RegionNum\":3,\"RegionCategory\":\"计算机科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"BUSINESS, FINANCE\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Computer and System Sciences","FirstCategoryId":"94","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0022000024000989","RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"BUSINESS, FINANCE","Score":null,"Total":0}
Embedding hypercubes into torus and Cartesian product of paths and/or cycles for minimizing wirelength
Though embedding problems have been considered for several regular graphs [1], [2], [3], it is still an open problem for hypercube into torus [4], [2]. In the paper, we prove the conjecture mathematically and obtain the minimum wirelength of embedding for hypercube into Cartesian product of paths and/or cycles. In addition, we explain that Gray code embedding is an optimal strategy in such embedding problems.
期刊介绍:
The Journal of Computer and System Sciences publishes original research papers in computer science and related subjects in system science, with attention to the relevant mathematical theory. Applications-oriented papers may also be accepted and they are expected to contain deep analytic evaluation of the proposed solutions.
Research areas include traditional subjects such as:
• Theory of algorithms and computability
• Formal languages
• Automata theory
Contemporary subjects such as:
• Complexity theory
• Algorithmic Complexity
• Parallel & distributed computing
• Computer networks
• Neural networks
• Computational learning theory
• Database theory & practice
• Computer modeling of complex systems
• Security and Privacy.