Practice Tracing Back the LCS - 4.6 | 4. Longest Common Subsequence | Design & Analysis of Algorithms - Vol 3
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Tracing Back the LCS

4.6 - Tracing Back the LCS

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Learning

Practice Questions

Test your understanding with targeted questions

Question 1 Easy

Define the term 'Longest Common Subsequence'.

💡 Hint: Think of how sequences can be similar.

Question 2 Easy

What does dynamic programming involve?

💡 Hint: Consider how you tackle complex homework assignments.

4 more questions available

Interactive Quizzes

Quick quizzes to reinforce your learning

Question 1

What does the Longest Common Subsequence (LCS) allow?

Exact character matching
Dropping characters to find sequences
Only contiguous sequences

💡 Hint: Think about flexibility in matching.

Question 2

True or False: Dynamic programming relies on solving problems from the top down.

True
False

💡 Hint: How do you usually approach breaking down tasks?

1 more question available

Challenge Problems

Push your limits with advanced challenges

Challenge 1 Hard

Given two sequences X: 'AGGTAB' and Y: 'GXTXAYB', find the longest common subsequence.

💡 Hint: Construct an LCS matrix to visualize character matches.

Challenge 2 Hard

Analyze how the LCS would differ if both sequences contained repeated characters, such as X: 'AAB', Y: 'ABA'.

💡 Hint: Think about how the order of selection affects your results.

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