Edit Distance Cannot Be Computed in Strongly Subquadratic Time (unless SETH is false) 论文
2015引用 260
Algorithms and Data CompressionNetwork Packet Processing and OptimizationDNA and Biological Computing
摘要
The edit distance (a.k.a. the Levenshtein distance) between two strings is defined as the minimum number of insertions, deletions or substitutions of symbols needed to transform one string into another. The problem of computing the edit distance between two strings is a classical computational task, with a well-known algorithm based on dynamic programming. Unfortunately, all known algorithms for this problem run in nearly quadratic time.