Fibonacci heaps and their uses in improved network optimization algorithms
Journal of the ACM (JACM)
Parameterized pattern matching: algorithms and applications
Journal of Computer and System Sciences
Parameterized Duplication in Strings: Algorithms and an Application to Software Maintenance
SIAM Journal on Computing
A Decomposition Theorem for Maximum Weight Bipartite Matchings
SIAM Journal on Computing
Approximate parameterized matching
ACM Transactions on Algorithms (TALG)
δ γ --- Parameterized Matching
SPIRE '08 Proceedings of the 15th International Symposium on String Processing and Information Retrieval
Counting Parameterized Border Arrays for a Binary Alphabet
LATA '09 Proceedings of the 3rd International Conference on Language and Automata Theory and Applications
Parameterized matching on non-linear structures
Information Processing Letters
Information Processing Letters
Verifying a parameterized border array in O(n1.5) time
CPM'10 Proceedings of the 21st annual conference on Combinatorial pattern matching
Parameterized searching with mismatches for run-length encoded strings
SPIRE'10 Proceedings of the 17th international conference on String processing and information retrieval
Verifying and enumerating parameterized border arrays
Theoretical Computer Science
Parameterized searching with mismatches for run-length encoded strings
Theoretical Computer Science
Information Sciences: an International Journal
Journal of Discrete Algorithms
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The problem of approximate parameterized string searching consists of finding, for a given text t=t"1t"2...t"n and pattern p=p"1p"2...p"m over respective alphabets @S"t and @S"p, the injection @p"i from @S"p to @S"t maximizing the number of matches between @p"i(p) and t"it"i"+"1...t"i"+"m"-"1(i=1,2,...,n-m+1). We examine the special case where both strings are run-length encoded, and further restrict to the case where one of the alphabets is binary. For this case, we give a construction working in time O(n+(r"pxr"t)@a(r"t)log(r"t)), where r"p and r"t denote the number of runs in the corresponding encodings for y and x, respectively, and @a is the inverse of the Ackermann's function.