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Test your understanding with targeted questions related to the topic.
Question 1
Easy
Define Longest Common Subsequence.
💡 Hint: Think about how sequences can match but still differ.
Question 2
Easy
What does dynamic programming help achieve in LCS computation?
💡 Hint: Remember the method of breaking down problems.
Practice 4 more questions and get performance evaluation
Engage in quick quizzes to reinforce what you've learned and check your comprehension.
Question 1
What is the primary function of the Longest Common Subsequence (LCS)?
💡 Hint: Consider the goal of matching instead of sorting.
Question 2
True or False: In LCS, the order of characters does not matter.
💡 Hint: Think about how subsequences are defined.
Solve 2 more questions and get performance evaluation
Push your limits with challenges.
Question 1
You have two words, 'ABCDGH' and 'AEDFHR'. Calculate the LCS and explain your reasoning.
💡 Hint: Look for the longest matching order.
Question 2
Describe how you would implement LCS using dynamic programming and address any challenges you might face.
💡 Hint: Focus on how to manage the boundaries and tracking of indices.
Challenge and get performance evaluation