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Practice Questions
Test your understanding with targeted questions related to the topic.
Question 1
Easy
Define the longest common subsequence (LCS).
💡 Hint: Break down the definition into parts: 'longest', 'subsequence', and 'order'.
Question 2
Easy
What does dynamic programming help with in problem-solving?
💡 Hint: Think of a way to avoid calculating the same thing multiple times.
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 strategy does LCS utilize to find similarities between sequences?
- Exact matching
- Dropping letters
- Random selection
💡 Hint: Consider the goal of finding the longest match, not just short ones.
Question 2
True or False: LCS can only be applied to genetic sequences.
- True
- False
💡 Hint: Think broadly about how LCS might be useful in texts or sentences.
Solve 1 more question and get performance evaluation
Challenge Problems
Push your limits with challenges.
Question 1
Given the sequences 'AGGTAB' and 'GXTXAYB', compute the LCS and explain how to arrive at your answer.
💡 Hint: Visualize a grid; track matching characters and build on previous results.
Question 2
Critique the efficiency of LCS utilizing brute force versus dynamic programming.
💡 Hint: Understand the relation between the size of input and the number of calculations involved.
Challenge and get performance evaluation