The document discusses edit distance and how it can be used to measure the distance between strings by minimizing the number of edits needed to transform one string into the other. It presents an efficient dynamic programming algorithm to calculate edit distance and describes how the dynamic programming table can be constructed and used to reconstruct the edit sequence. It also discusses how the algorithm can be customized for applications like substring matching, longest common subsequence, and finding maximum monotone subsequences.