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Test your understanding with targeted questions related to the topic.
Question 1
Easy
Define the term 'Longest Common Subsequence'.
💡 Hint: Think of how sequences can be similar.
Question 2
Easy
What does dynamic programming involve?
💡 Hint: Consider how you tackle complex homework assignments.
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 does the Longest Common Subsequence (LCS) allow?
💡 Hint: Think about flexibility in matching.
Question 2
True or False: Dynamic programming relies on solving problems from the top down.
💡 Hint: How do you usually approach breaking down tasks?
Solve 1 more question and get performance evaluation
Push your limits with challenges.
Question 1
Given two sequences X: 'AGGTAB' and Y: 'GXTXAYB', find the longest common subsequence.
💡 Hint: Construct an LCS matrix to visualize character matches.
Question 2
Analyze how the LCS would differ if both sequences contained repeated characters, such as X: 'AAB', Y: 'ABA'.
💡 Hint: Think about how the order of selection affects your results.
Challenge and get performance evaluation