Mount CMSC 451 : Lecture 11 Dynamic Programming : Longest Common

نویسنده

  • Dave Mount
چکیده

Strings: One important area of algorithm design is the study of algorithms for character strings. Finding patterns or similarities within strings is fundamental to various applications, ranging from document analysis to computational biology. One common measure of similarity between two strings is the lengths of their longest common subsequence. Today, we will consider an efficient solution to this problem based on dynamic programming.

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تاریخ انتشار 2017