2010
DOI: 10.1142/s0129054110007647
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Finding All Approximate Gapped Palindromes

Abstract: We study the problem of finding all maximal approximate gapped palindromes in a string. More specifically, given a string S of length n, a parameter q ≥ 0 and a threshold k > 0, the problem is to identify all substrings in S of the form uvw such that (1) the Levenshtein distance between ur and w is at most k, where ur is the reverse of u and (2) v is a string of length q. The best previous work requires O(k2n) time. In this paper, we propose an O(kn)-time algorithm for this problem by utilizing an increment… Show more

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Cited by 14 publications
(13 citation statements)
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“…The main idea in both [13] and [11] is the efficient computation of the so-called h-waves. In the standard dynamic programming matrix for two strings x and y, we say that a cell…”
Section: Verification Schemementioning
confidence: 99%
“…The main idea in both [13] and [11] is the efficient computation of the so-called h-waves. In the standard dynamic programming matrix for two strings x and y, we say that a cell…”
Section: Verification Schemementioning
confidence: 99%
“…[14]. Several problems were considered such as, enumeration of exact gapped palindromes of a string [10] and also enumeration of approximate gapped palindromes [7,13], finding maximal length of long armed or and constrained length gapped palindrome [5].…”
Section: Introductionmentioning
confidence: 99%
“…We present an equally efficient approach for computing all maximal palindromes under the edit distance. After our conference publication [1], we have learnt about alternative algorithms computing this type of maximal approximate palindromes [22,16]. The approach of [22] works in O(n · δ 2 ) time.…”
Section: Introductionmentioning
confidence: 99%