Practice Interesting Applications - 4.2 | 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 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

Interactive Quizzes

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)?

  • Finding the shortest subsequence
  • Identifying the longest ordered matching subsequence
  • Sorting characters in order

💡 Hint: Consider the goal of matching instead of sorting.

Question 2

True or False: In LCS, the order of characters does not matter.

  • True
  • False

💡 Hint: Think about how subsequences are defined.

Solve 2 more questions and get performance evaluation

Challenge Problems

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