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Practice Questions
Test your understanding with targeted questions related to the topic.
Question 1
Easy
What is the Longest Common Subsequence?
💡 Hint: Think of it as a continuous order without rearranging.
Question 2
Easy
What does dynamic programming achieve in solving LCS?
💡 Hint: Consider how we can use previous results to simplify current computations.
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 Sequential
- Longest Common Subsequence
- Longest Common Substring
💡 Hint: Think about the key terms in computer science related to sequences.
Question 2
True or False: A subsequence requires characters to be contiguous.
- True
- False
💡 Hint: Consider what happens between letters in a string.
Solve 1 more question and get performance evaluation
Challenge Problems
Push your limits with challenges.
Question 1
Given the strings 'abcdf' and 'acf', compute the LCS and explain your reasoning.
💡 Hint: Visualize matching pairs and keeping track of skipped characters.
Question 2
Formulate a dynamic programming algorithm for detecting the LCS between two sequences and analyze its complexity.
💡 Hint: Draw out the filling process, considering base cases when one string is empty.
Challenge and get performance evaluation