Dynamic Programming 6

0. We wish to find the length of the longest common subsequence (LCS) of X[m] and Y[n] as l(m, n), where an incomplete recursive definition for the function l(i, j) to compute the length of the LCS of X[m] and Y[n] is given below: l(i, j) = 0, if either i = 0 or j = 0
= expr1, if i, j > 0 and x[i –1] = Y [j -1]
= expr2, if i, j > 0 and x[i – 1] ≠ Y[j –1]
Which one of the following options is correct?

  • Option : C
  • Explanation :
    Largest common subsequence is dynamic programming approach
Cancel reply

Your email address will not be published. Required fields are marked *


Cancel reply

Your email address will not be published. Required fields are marked *