Hirschberg's Algorithm

Hirschberg's algorithm, named after its inventor Dan Hirschberg, is a dynamic programming algorithm that finds the optimal sequence alignment between two strings, measuring optimality by Levenshtein distance, which quantifies the total cost of the insertions, replacements, deletions and null actions needed to transform one string into another. It is a more space efficient variant of the Needleman-Wunsch algorithm and is widely used in computational biology to find maximal global alignments of DNA and protein sequences.