Practice Week 7: Dynamic Programming (1.6.7) - Design and Analysis of Algorithms

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9 questions

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4 cards from this section. Quick, good the night before a test.
Exercise
6 questions · about 4 min · pass mark 70%. Hints available.
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Quiz
3 questions · about 2 min · pass mark 70%. Hints available.
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6 sample questions

Question 1.
Define dynamic programming.
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Think about how computations can be optimized.
Question 2.
What does overlapping subproblems refer to?
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Consider the Fibonacci sequence for illustration.
3Question 3.
What is the main benefit of dynamic programming?
- Avoids redundancy
- Increases complexity
- Only works with numbers
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Think about the efficiency aspect.
4Question 4.
True or False: In dynamic programming, tabulation and memoization are two approaches that achieve the same effect.
- True
- False
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Reflect on how each method processes the problems.
Question 5.
Implement a dynamic programming solution to compute the nth Fibonacci number. Explain the process.
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Store previously calculated Fibonacci results to avoid redundant calculations.
Question 6.
Describe how you would approach the Longest Common Subsequence problem using dynamic programming.
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Focus on character matches and utilize values from adjacent cells.

5 more questions in this section. Enroll free to practise them all.