Practice LCS Code Implementation - 4..7 | 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

What is the main difference between LCS and exact string matching?

💡 Hint: Think about the flexibility of matching.

Question 2

Easy

Explain what dynamic programming means in the context of LCS.

💡 Hint: How does it avoid repeated calculations?

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 LCS stand for?

  • Longest Common Subword
  • Longest Common Subsequence
  • Longest Character Sequence

💡 Hint: Look at context about matching sequences.

Question 2

Dynamic programming can significantly improve LCS calculations. True or False?

  • True
  • False

💡 Hint: Think about efficiency in complex problems.

Solve 3 more questions and get performance evaluation

Challenge Problems

Push your limits with challenges.

Question 1

Given two strings, 'abcde' and 'ace', find the length of their LCS and show the sequence.

💡 Hint: Consider dynamic programming to calculate the outputs efficiently.

Question 2

Calculate the LCS for 'AGGTAB' and 'GXTXAYB' and explain the steps taken.

💡 Hint: Fill the table and observe how matches build the length.

Challenge and get performance evaluation