Practice Tracing the Actual Solution - 43.1.4 | 43. Longest common subsequence - Part B | Data Structures and Algorithms in Python
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43.1.4 - Tracing the Actual Solution

Learning

Practice Questions

Test your understanding with targeted questions related to the topic.

Question 1

Easy

Define the Longest Common Subsequence (LCS).

πŸ’‘ Hint: Think about how subsequences maintain the original order.

Question 2

Easy

What happens when characters match in the LCS process?

πŸ’‘ Hint: Look for the definition of subsequence.

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 represent?

  • The longest common substring
  • The longest sequence maintaining order
  • The number of matching characters

πŸ’‘ Hint: Pay attention to the terms subsequence and substring.

Question 2

True or False: LCS can have multiple valid sequences.

  • True
  • False

πŸ’‘ Hint: Consider scenarios where characters can match differently.

Solve 1 more question and get performance evaluation

Challenge Problems

Push your limits with challenges.

Question 1

Analyze the sequences 'XMJYAUZ' and 'MZJAJAW' and find the LCS with a detailed explanation.

πŸ’‘ Hint: Focus on where matches occur and adjust for grid dependencies.

Question 2

Create a dynamic programming matrix for sequences 'ABCD' and 'AECDB' and backtrack to find LCS.

πŸ’‘ Hint: Keep track of choices for both sequences as you fill the rows and columns.

Challenge and get performance evaluation