ISSN:
1432-0541
Keywords:
Key words. Parallel algorithms, Randomized (Las Vegas) string matching, %String Matching on Finite State Machines, Approximate Matching, Checking string matching algorithms.
Source:
Springer Online Journal Archives 1860-2000
Topics:
Computer Science
,
Mathematics
Notes:
Abstract. Consider a text string of length n, a pattern string of length m, and a match vector of length n which declares each location in the text to be either a mismatch (the pattern does not occur beginning at that location in the text) or a potential match (the pattern may occur beginning at that location in the text). Some of the potential matches could be false, i.e., the pattern may not occur beginning at some location in the text declared to be a potential match. We investigate the complexity of two problems in this context, namely, checking if there is any false match, and identifying all the false matches in the match vector. We present an algorithm on the CRCW PRAM that checks if there exists a false match in O(1) time using O(n) processors. This algorithm does not require preprocessing the pattern. Therefore, checking for false matches is provably simpler than string matching since string matching takes $\Omega(\log\log m)$ time on the CRCW PRAM. We use this simple algorithm to convert the Karp—Rabin Monte Carlo type string-matching algorithm into a Las Vegas type algorithm without asymptotic loss in complexity. We also present an efficient algorithm for identifying all the false matches and, as a consequence, show that string-matching algorithms take $\Omega(\log\log m)$ time even given the flexibility to output a few false matches.
Type of Medium:
Electronic Resource
URL:
http://dx.doi.org/10.1007/PL00009168
