We show that the edit distance between two run-length encoded strings of compressed lengths m and n respectively, can be computed in O(mn log(mn)) time. This improves the previous record by a factor of O(n/log(mn)). The running time of our algorithm is within subpolynomial factors of being optimal, subject to the standard SETH-hardness assumption. This effectively closes a line of algorithmic research first started in 1993
Given two strings $A[1..n]$ and $B[1..m]$, and a set of operations allowed to edit the strings, the ...
© 2018 Society for Industrial and Applied Mathematics. The edit distance (a.k.a. the Levenshtein dis...
The edit distance between two rooted ordered trees with $n$ nodes labeled from an alphabet~$\Sigma$ ...
[[abstract]]We propose a new algorithm for computing the edit distance of an uncompressed string aga...
[[abstract]]We propose a new algorithm for computing the edit distance of an uncompressed string aga...
[[abstract]]We propose a new algorithm for computing the edit distance of an uncompressed string aga...
[[abstract]]We propose a new algorithm for computing the edit distance of an uncompressed string aga...
[[abstract]]We propose a new algorithm for computing the edit distance of an uncompressed string aga...
[[abstract]]We propose a new algorithm for computing the edit distance of an uncompressed string aga...
The edit distance problem is a classical fundamental problem in computer science in general, and in ...
We show how to compute the edit distance between two strings of length n up to a factor of 2Õ( log ...
Data compression can be used to simultaneously reduce memory, communication and computation requirem...
Data compression can be used to simultaneously reduce memory, communication and computation requirem...
Data compression can be used to simultaneously reduce memory, communication and computation requirem...
Data compression can be used to simultaneously reduce memory, communication and computation requirem...
Given two strings $A[1..n]$ and $B[1..m]$, and a set of operations allowed to edit the strings, the ...
© 2018 Society for Industrial and Applied Mathematics. The edit distance (a.k.a. the Levenshtein dis...
The edit distance between two rooted ordered trees with $n$ nodes labeled from an alphabet~$\Sigma$ ...
[[abstract]]We propose a new algorithm for computing the edit distance of an uncompressed string aga...
[[abstract]]We propose a new algorithm for computing the edit distance of an uncompressed string aga...
[[abstract]]We propose a new algorithm for computing the edit distance of an uncompressed string aga...
[[abstract]]We propose a new algorithm for computing the edit distance of an uncompressed string aga...
[[abstract]]We propose a new algorithm for computing the edit distance of an uncompressed string aga...
[[abstract]]We propose a new algorithm for computing the edit distance of an uncompressed string aga...
The edit distance problem is a classical fundamental problem in computer science in general, and in ...
We show how to compute the edit distance between two strings of length n up to a factor of 2Õ( log ...
Data compression can be used to simultaneously reduce memory, communication and computation requirem...
Data compression can be used to simultaneously reduce memory, communication and computation requirem...
Data compression can be used to simultaneously reduce memory, communication and computation requirem...
Data compression can be used to simultaneously reduce memory, communication and computation requirem...
Given two strings $A[1..n]$ and $B[1..m]$, and a set of operations allowed to edit the strings, the ...
© 2018 Society for Industrial and Applied Mathematics. The edit distance (a.k.a. the Levenshtein dis...
The edit distance between two rooted ordered trees with $n$ nodes labeled from an alphabet~$\Sigma$ ...