Edit Distance

Algorithms and Data Structures: TheAlgorist.com

System Design: SystemsDesign.Cloud

Low Level Design: LowLevelDesign.io

Frontend Engineering: FrontendEngineering.io
Problem Statement:
In computer science, edit distance is a way of quantifying how dissimilar two strings (e.g., words) are to one another by counting the minimum number of operations required to transform one string into the other. There are three operations permitted on a word: replace, delete, insert. For example, the edit distance between "a" and "b" is 1, the edit distance between "abc" and "def" is 3.Solution:
Let dp[i][j] stands for the edit distance between two strings with length i and j, i.e., word1[0,...,i1] and word2[0,...,j1]. There is a relation between dp[i][j] and dp[i1][j1]. Let's say we transform from one string to another. The first string has length i and it's last character is "x"; the second string has length j and its last character is "y". The following diagram shows the relation. if x == y, then dp[i][j] == dp[i1][j1]
 if x != y, and we insert y for word1, then dp[i][j] = dp[i][j1] + 1
 if x != y, and we delete x for word1, then dp[i][j] = dp[i1][j] + 1
 if x != y, and we replace x with y for word1, then dp[i][j] = dp[i1][j1] + 1
 When x!=y, dp[i][j] is the min of the three situations.
 Initial condition: dp[i][0] = i, dp[0][j] = j
Java Code:
This is a Premium content.
Please subscribe to Algorithms course to access the code.
Python Code:
This is a Premium content.
Please subscribe to Algorithms course to access the code.
Instructor:
If you have any feedback, please use this form: https://thealgorists.com/Feedback.
Follow Us On LinkedIn