DocumentCode
2547930
Title
A survey of longest common subsequence algorithms
Author
Bergroth, L. ; Hakonen, H. ; Raita, T.
Author_Institution
Dept. of Comput. Sci., Turku Univ., Finland
fYear
2000
fDate
2000
Firstpage
39
Lastpage
48
Abstract
The aim of this paper is to give a comprehensive comparison of well-known longest common subsequence algorithms (for two input strings) and study their behaviour in various application environments. The performance of the methods depends heavily on the properties of the problem instance as well as the supporting data structures used in the implementation. We want to make also a clear distinction between methods that determine the actual lcs and those calculating only its length, since the execution time and more importantly, the space demand depends crucially on the type of the task. To our knowledge, this is the first time this kind of survey has been done. Due to the page limits, the paper gives only a coarse overview of the performance of the algorithms; more detailed studies are reported elsewhere
Keywords
data structures; software performance evaluation; string matching; algorithm performance; data structures; execution time; longest common subsequence algorithms; string comparison; string matching; Application software; Books; Computer science; Costs; DNA; Data structures; Dictionaries; Error correction; Proteins; Sequences;
fLanguage
English
Publisher
ieee
Conference_Titel
String Processing and Information Retrieval, 2000. SPIRE 2000. Proceedings. Seventh International Symposium on
Conference_Location
A Curuna
Print_ISBN
0-7695-0746-8
Type
conf
DOI
10.1109/SPIRE.2000.878178
Filename
878178
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