Randomized algorithms
Sorting permutations by block-interchanges
Information Processing Letters
Sorting by reversals is difficult
RECOMB '97 Proceedings of the first annual international conference on Computational molecular biology
SIAM Journal on Discrete Mathematics
An Extension of the String-to-String Correction Problem
Journal of the ACM (JACM)
Fast Probabilistic Algorithms for Verification of Polynomial Identities
Journal of the ACM (JACM)
Verifying candidate matches in sparse and wildcard matching
STOC '02 Proceedings of the thiry-fourth annual ACM symposium on Theory of computing
Computer architecture: a quantitative approach
Computer architecture: a quantitative approach
Information Processing Letters
Probabilistic algorithms for sparse polynomials
EUROSAM '79 Proceedings of the International Symposiumon on Symbolic and Algebraic Computation
CPM '96 Proceedings of the 7th Annual Symposium on Combinatorial Pattern Matching
Information and Computation
Rapid identification of repeated patterns in strings, trees and arrays
STOC '72 Proceedings of the fourth annual ACM symposium on Theory of computing
Pattern matching with address errors: rearrangement distances
SODA '06 Proceedings of the seventeenth annual ACM-SIAM symposium on Discrete algorithm
On the cost of interchange rearrangement in strings
ESA'07 Proceedings of the 15th annual European conference on Algorithms
Efficient computations of l1and l∞rearrangement distances
SPIRE'07 Proceedings of the 14th international conference on String processing and information retrieval
Approximate string matching with stuck address bits
SPIRE'10 Proceedings of the 17th international conference on String processing and information retrieval
Approximate string matching with stuck address bits
Theoretical Computer Science
String rearrangement metrics: a survey
Algorithms and Applications
Hi-index | 5.23 |
A string S@?@S^m can be viewed as a set of pairs S={(@s"i,i):i@?{0,...,m-1}}. We consider approximate pattern matching problems arising from the setting where errors are introduced to the location component (i), rather than the more traditional setting, where errors are introduced into the content itself (@s"i). In this paper, we consider the case where bits of i may be erroneously flipped, either in a consistent or transient manner. We formally define the corresponding approximate pattern matching problems, and provide efficient algorithms for their resolution, while introducing some novel techniques.