Which algorithm is used for longest common subsequence?
In this example, we have two strings X = BACDB and Y = BDCB to find the longest common subsequence. Following the algorithm LCS-Length-Table-Formulation (as stated above), we have calculated table C (shown on the left hand side) and table B (shown on the right hand side).
Which problems can be solved using the longest subsequence problem?
C. D. Explanation: both recursion and dynamic programming can be used to solve the longest subsequence problem.
What is the length of the longest common subsequence of strings str1 and str2?
LCS(m,n) is length of longest common subsequence of str1 and str2. start comparing strings from their right end. if m or n is 0, return 0. if str1[m-1] == str2[n-1] (if end characters match) , return 1+LCS(m-1,n-1).
What is longest common subsequence LCS )? Explain with algorithm?
The longest common subsequence (LCS) is defined as the longest subsequence that is common to all the given sequences, provided that the elements of the subsequence are not required to occupy consecutive positions within the original sequences.
How do you find the longest common subsequence in a string?
In order to find the longest common subsequence, start from the last element and follow the direction of the arrow. The elements corresponding to () symbol form the longest common subsequence.
Which of the following is the longest common subsequence between the strings Hbcfgmnapq and Cbhgrsfnmq Mcq?
Discussion Forum
| Que. | Which of the following is the longest common subsequence between the strings “hbcfgmnapq” and “cbhgrsfnmq”? |
|---|---|
| b. | cfnq |
| c. | bfmq |
| d. | all of the mentioned |
| Answer:all of the mentioned |
Which of the following methods can be used to solve the matrix chain multiplication problem?
1. Which of the following methods can be used to solve the matrix chain multiplication problem? Explanation: Dynamic Programming, Brute force, Recursion methods can be used to solve the matrix chain multiplication problem.
Which of the following is the longest common subsequence between the strings Abcdgh and Aedfhr?
algorithm Dynamic Programming Longest Common Subsequence If we are given with the two strings we have to find the longest common sub-sequence present in both of them. LCS for input Sequences “ABCDGH” and “AEDFHR” is “ADH” of length 3.
How do you find the longest subsequence give an example?
The Longest Increasing Subsequence (LIS) problem is to find the length of the longest subsequence of a given sequence such that all elements of the subsequence are sorted in increasing order. For example, the length of LIS for {10, 22, 9, 33, 21, 50, 41, 60, 80} is 6 and LIS is {10, 22, 33, 50, 60, 80}.
Which of the following is the longest common subsequence between the strings Hbcfgmnapq?
| Q. | Which of the following is the longest common subsequence between the strings “hbcfgmnapq” and “cbhgrsfnmq”? |
|---|---|
| C. | bfmq |
| D. | fgmna |
| Answer» d. fgmna | |
| Explanation: the length of the longest common subsequence is 4. but ‘fgmna’ is not the longest common subsequence as its length is 5. |