Practice Inductive Structure (4.3) - Longest Common Subsequence - Design & Analysis of Algorithms

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6 sample questions

Question 1.
What is the Longest Common Subsequence (LCS)?
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It's related to finding similarities in sequences.
Question 2.
What technique is often used to optimize LCS calculation?
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Think about breaking down problems into smaller ones.
3Question 3.
What is the primary goal of the LCS algorithm?
- To find the longest substring
- To find the longest common subsequence
- To sort two sequences
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Focus on what LCS stands for.
4Question 4.
True or False: In the LCS problem, we can drop characters.
- True
- False
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Consider what makes the subsequence common.
Question 5.
Given the sequences A: 'ABCDEF' and B: 'AEBDF', calculate the longest common subsequence and explain your approach.
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Start from the first characters and build upon matches.
Question 6.
Write a function to evaluate LCS dynamically. Analyze its time complexity.
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Think about the double-loop structure you'll need to fill the entire table.

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