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Practice Questions
Test your understanding with targeted questions related to the topic.
Question 1
Easy
Define Longest Common Subsequence in your own words.
💡 Hint: Think about patterns in sequences.
Question 2
Easy
What is dynamic programming?
💡 Hint: Consider how problems can be simplified.
Practice 4 more questions and get performance evaluation
Interactive Quizzes
Engage in quick quizzes to reinforce what you've learned and check your comprehension.
Question 1
What is the time complexity of finding LCS using dynamic programming?
- O(m*n)
- O(m+n)
- O(m^2)
💡 Hint: Remember how we build the solution.
Question 2
True or False: LCS can include characters that are not adjacent in given sequences.
- True
- False
💡 Hint: Think about the definition of a subsequence.
Solve and get performance evaluation
Challenge Problems
Push your limits with challenges.
Question 1
Suppose you have string A: 'ABCBDAB' and string B: 'BDCAB'. Calculate the LCS, and provide the DP table.
💡 Hint: Start with filling the first two rows based on matches and mismatches.
Question 2
Discuss how LCS can be extended to more than two sequences. What complexities arise?
💡 Hint: Consider expanding the dimension of the DP table for more sequences.
Challenge and get performance evaluation