Practice Tracing Back the LCS - 4.6 | 4. Longest Common Subsequence | Design & Analysis of Algorithms - Vol 3
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Practice Questions

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

Interactive Quizzes

Engage in quick quizzes to reinforce what you've learned and check your comprehension.

Question 1

What does the Longest Common Subsequence (LCS) allow?

  • Exact character matching
  • Dropping characters to find sequences
  • Only contiguous sequences

💡 Hint: Think about flexibility in matching.

Question 2

True or False: Dynamic programming relies on solving problems from the top down.

  • True
  • False

💡 Hint: How do you usually approach breaking down tasks?

Solve 1 more question and get performance evaluation

Challenge Problems

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