Practice Tracing Back The Lcs (4.6) - Longest Common Subsequence - Design & Analysis of Algorithms

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6 sample questions

Question 1.
Define the term 'Longest Common Subsequence'.
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Think of how sequences can be similar.
Question 2.
What does dynamic programming involve?
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Consider how you tackle complex homework assignments.
3Question 3.
What does the Longest Common Subsequence (LCS) allow?
- Exact character matching
- Dropping characters to find sequences
- Only contiguous sequences
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Think about flexibility in matching.
4Question 4.
True or False: Dynamic programming relies on solving problems from the top down.
- True
- False
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How do you usually approach breaking down tasks?
Question 5.
Given two sequences X: 'AGGTAB' and Y: 'GXTXAYB', find the longest common subsequence.
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Construct an LCS matrix to visualize character matches.
Question 6.
Analyze how the LCS would differ if both sequences contained repeated characters, such as X: 'AAB', Y: 'ABA'.
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Think about how the order of selection affects your results.

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