The dynamic programming approach for LCS utilizes a _______ to efficiently store and retrieve previously computed subproblems.

  • List
  • Queue
  • Stack
  • Table
The dynamic programming approach for finding the Longest Common Subsequence (LCS) utilizes a table to efficiently store and retrieve previously computed subproblems. This table is often a 2D array where each cell represents the length of the LCS for corresponding substrings.
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