Title
Efficient algorithms to compute compressed longest common substrings and compressed palindromes
Abstract
This paper studies two problems on compressed strings described interms of straight line programs (SLPs). One is tocompute the length of the longest common substring of two givenSLP-compressed strings, and the other is to compute all palindromesof a given SLP-compressed string. In order to solve these problemsefficiently (in polynomial time w.r.t. the compressed size)decompression is never feasible, since the decompressed size can beexponentially large. We develop combinatorial algorithms that solvethese problems in O(n4logn) timewith O(n3) space, and inO(n4) time withO(n2) space, respectively, where nis the size of the input SLP-compressed strings.
Year
DOI
Venue
2009
10.1016/j.tcs.2008.12.016
Theor. Comput. Sci.
Keywords
DocType
Volume
polynomial time w,input SLP-compressed string,SLP-compressed string,paper study,longest common substrings,combinatorial algorithm,efficient algorithm,Longest common substring,Straight line program,Palindromes,time withO,String processing algorithms,decompressed size,givenSLP-compressed string,Text compression,timewith O,longest common substring
Journal
410
Issue
ISSN
Citations 
8-10
Theoretical Computer Science
15
PageRank 
References 
Authors
0.67
14
6
Name
Order
Citations
PageRank
Wataru Matsubara1525.87
Shunsuke Inenaga259579.02
Akira Ishino3547.31
Ayumi Shinohara493688.28
Tomoyuki Nakamura5181.12
Kazuo Hashimoto630029.86