Question: What is dynamic programming commonly used for in algorithm design?
Answer:
Dynamic programming is commonly used for solving problems by breaking them into smaller subproblems and caching their solutions to avoid redundant computation.
MCQ: What is dynamic programming commonly used for in algorithm design?
Explanation:
Dynamic programming is commonly used for solving problems by breaking them into smaller subproblems and caching their solutions to avoid redundant computation.
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Related Questions
- 1. What is memoization in the context of dynamic programming?
- 2. Which dynamic programming technique typically uses a table to store and retrieve solutions to subproblems?
- 3. In dynamic programming, what does "optimal substructure" mean?
- 4. What is the primary advantage of dynamic programming over brute-force methods?
- 5. What is a greedy algorithm in algorithm design?
- 6. In the context of greedy algorithms, what is a "greedy choice property"?
- 7. Which classic greedy algorithm is used to solve the problem of finding the minimum number of coins needed to make change for a given amount of money?
- 8. What is the primary drawback of greedy algorithms?
- 9. What is a "cycle" in a directed graph?
- 10. Which algorithm is commonly used to find the shortest path between nodes in a weighted graph?
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