Introduction to 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
Beyond the flow decomposition barrier
Journal of the ACM (JACM)
SIAM Journal on Discrete Mathematics
An Extension of the String-to-String Correction Problem
Journal of the ACM (JACM)
Computer architecture: a quantitative approach
Computer architecture: a quantitative approach
Information Processing Letters
CPM '96 Proceedings of the 7th Annual Symposium on Combinatorial Pattern Matching
Information and Computation
Pattern matching with address errors: rearrangement distances
SODA '06 Proceedings of the seventeenth annual ACM-SIAM symposium on Discrete algorithm
Improving VoD server efficiency with bittorrent
Proceedings of the 15th international conference on Multimedia
Approximate String Matching with Address Bit Errors
CPM '08 Proceedings of the 19th annual symposium on Combinatorial Pattern Matching
Pattern matching with address errors: Rearrangement distances
Journal of Computer and System Sciences
Interchange rearrangement: The element-cost model
Theoretical Computer Science
Efficient computations of l1 and l∞ rearrangement distances
Theoretical Computer Science
Approximate string matching with address bit errors
Theoretical Computer Science
On the Cost of Interchange Rearrangement in Strings
SIAM Journal on Computing
CPM'06 Proceedings of the 17th Annual conference on Combinatorial Pattern Matching
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"i,i)|s"i@?S,i@?{0,...,m-1}}. We follow the recent work on pattern matching with address errors and 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 to the content itself (s"i). Specifically, we continue the work on string matching in the presence of address bit errors. In this paper, we consider the case where bits of i may be stuck, either in a consistent or transient manner. We formally define the corresponding approximate pattern matching problems, and provide efficient algorithms for their resolution.