Practice Dependency Complexity - 43.1.2 | 43. Longest common subsequence - Part B | Data Structures and Algorithms in Python
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43.1.2 - Dependency Complexity

Learning

Practice Questions

Test your understanding with targeted questions related to the topic.

Question 1

Easy

Define what is meant by 'Longest Common Subsequence'.

πŸ’‘ Hint: Think about subsequences and order.

Question 2

Easy

Explain what a dependency is in algorithm terms.

πŸ’‘ Hint: Consider how elements in a sequence relate to each other.

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 do we call the longest subsequence found in two sequences?

  • Common Subsequence
  • Longest Common Subsequence
  • Subsequence Comparison

πŸ’‘ Hint: Look for a term that includes both 'longest' and 'common'.

Question 2

Are dependencies essential for solving problems in LCS?

  • True
  • False

πŸ’‘ Hint: Think about how one character's presence affects another's matching.

Solve 1 more question and get performance evaluation

Challenge Problems

Push your limits with challenges.

Question 1

You are given two strings 'ABCBDAB' and 'BDCAB'. Find the longest common subsequence and explain your method step-by-step.

πŸ’‘ Hint: Visualize the matrix step by step.

Question 2

How would you approach finding LCS for sequences of length greater than 100 using dynamic programming?

πŸ’‘ Hint: Can you think of a technique that reduces computation time?

Challenge and get performance evaluation