Which dynamic programming technique is used to solve the problem of finding the

Practice Questions

Q1
Which dynamic programming technique is used to solve the problem of finding the minimum edit distance between two strings?
  1. Memoization
  2. Tabulation
  3. Greedy
  4. Backtracking

Questions & Step-by-Step Solutions

Which dynamic programming technique is used to solve the problem of finding the minimum edit distance between two strings?
  • Step 1: Understand the problem - The minimum edit distance is the number of operations needed to change one string into another.
  • Step 2: Identify the operations - The common operations are insertion, deletion, and substitution of characters.
  • Step 3: Create a table - Set up a 2D table where rows represent characters of the first string and columns represent characters of the second string.
  • Step 4: Initialize the table - Fill the first row and first column with numbers representing the cost of converting an empty string to the other string.
  • Step 5: Fill the table - For each cell in the table, calculate the minimum cost based on the three operations (insert, delete, substitute) and fill the table accordingly.
  • Step 6: Read the result - The value in the bottom-right cell of the table will give you the minimum edit distance between the two strings.
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