Wagner-Fischer Edit Distance

The Wagner-Fischer algorithm is a dynamic programming method for calculating the Levenshtein distance (edit distance) between two strings. It determines the minimum number of single-character edits (insertions, deletions, or substitutions) needed to transform one string into another by filling a matrix where each cell represents the edit distance between prefixes of the two strings. The algorithm builds the solution incrementally, ensuring optimal substructure and overlapping subproblems for efficient computation.