Practice Good Case and Solution Strategy - 43.1.1 | 43. Longest common subsequence - Part B | Data Structures and Algorithms in Python
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43.1.1 - Good Case and Solution Strategy

Learning

Practice Questions

Test your understanding with targeted questions related to the topic.

Question 1

Easy

What does LCS stand for?

πŸ’‘ Hint: Think about what sequences might share.

Question 2

Easy

If a_i is equal to b_j, what do we add?

πŸ’‘ Hint: Concept of matching!

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 main goal of the LCS problem?

  • Finding the length of two sequences
  • Identifying the longest subsequence
  • Maximizing the sum of sequences

πŸ’‘ Hint: Just think about what a subsequence is!

Question 2

If making a choice based on a mismatch, what is the expected action?

  • True
  • False

πŸ’‘ Hint: Like choosing between best outcomes!

Solve and get performance evaluation

Challenge Problems

Push your limits with challenges.

Question 1

Given the sequences 'XMJYAUZ' and 'MZJAWXU', use dynamic programming to find and trace the LCS.

πŸ’‘ Hint: Fill tables based on earlier discussed methods!

Question 2

How would you adjust the algorithm if you needed to find all possible LCS?

πŸ’‘ Hint: Adapt your path retracing method!

Challenge and get performance evaluation