Practice Inductive Structure - 43.1.4 | 43. Longest common subsequence - Part A | Data Structures and Algorithms in Python
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Practice Questions

Test your understanding with targeted questions related to the topic.

Question 1

Easy

Define what an inductive structure is.

πŸ’‘ Hint: It simplifies problem-solving.

Question 2

Easy

What does dynamic programming do?

πŸ’‘ Hint: Think about optimization.

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 dynamic programming primarily aim to accomplish?

  • Minimize space
  • Avoid redundancy
  • Increase computation time

πŸ’‘ Hint: Think about efficiency.

Question 2

Is the longest common subsequence always found in the respective order of characters?

  • True
  • False

πŸ’‘ Hint: Think about how subsequences are formed.

Solve and get performance evaluation

Challenge Problems

Push your limits with challenges.

Question 1

Given the sequences 'ABCBDAB' and 'BDCAB', find the longest common subsequence and explain your reasoning.

πŸ’‘ Hint: Use a table to track matches and lengths.

Question 2

Create an algorithm in Python that uses dynamic programming to find the longest common subsequence of any two strings provided as input.

πŸ’‘ Hint: Check for matching characters and build upon prior results.

Challenge and get performance evaluation