{"title":"A survey of heuristics for matrix bandwidth reduction","authors":"S.L. Gonzaga de Oliveira","doi":"10.1016/j.cosrev.2025.100724","DOIUrl":null,"url":null,"abstract":"<div><div>This paper surveys heuristic methods for matrix bandwidth reduction, including low-cost methods and metaheuristics. This optimization min–max problem represents a demanding problem for heuristic methods. This paper poses the graph layout problem with its formal definition. The study also considers the application domains in which practitioners employ the linear graph layout problem on general matrices. Furthermore, this paper focuses on the techniques and procedures that provide excellent results and provides an extensive perspective of approaches to devise heuristics for matrix bandwidth reduction. Thus, this paper surveys the most significant research in the field and examines the current state-of-the-art heuristics for the bandwidth reduction problem.</div></div>","PeriodicalId":48633,"journal":{"name":"Computer Science Review","volume":"56 ","pages":"Article 100724"},"PeriodicalIF":12.7000,"publicationDate":"2025-02-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Computer Science Review","FirstCategoryId":"94","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1574013725000012","RegionNum":1,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"COMPUTER SCIENCE, INFORMATION SYSTEMS","Score":null,"Total":0}
引用次数: 0
Abstract
This paper surveys heuristic methods for matrix bandwidth reduction, including low-cost methods and metaheuristics. This optimization min–max problem represents a demanding problem for heuristic methods. This paper poses the graph layout problem with its formal definition. The study also considers the application domains in which practitioners employ the linear graph layout problem on general matrices. Furthermore, this paper focuses on the techniques and procedures that provide excellent results and provides an extensive perspective of approaches to devise heuristics for matrix bandwidth reduction. Thus, this paper surveys the most significant research in the field and examines the current state-of-the-art heuristics for the bandwidth reduction problem.
期刊介绍:
Computer Science Review, a publication dedicated to research surveys and expository overviews of open problems in computer science, targets a broad audience within the field seeking comprehensive insights into the latest developments. The journal welcomes articles from various fields as long as their content impacts the advancement of computer science. In particular, articles that review the application of well-known Computer Science methods to other areas are in scope only if these articles advance the fundamental understanding of those methods.