Question: Which dynamic programming technique typically uses a table to store and retrieve solutions to subproblems?
Answer:
Tabulation is a dynamic programming technique that typically uses a table to store and retrieve solutions to subproblems.
MCQ: Which dynamic programming technique typically uses a table to store and retrieve solutions to subproblems?
Correct Answer:
A. Greedy algorithm
Explanation:
Tabulation is a dynamic programming technique that typically uses a table to store and retrieve solutions to subproblems.
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Related Questions
- 1. In dynamic programming, what does "optimal substructure" mean?
- 2. What is the primary advantage of dynamic programming over brute-force methods?
- 3. What is a greedy algorithm in algorithm design?
- 4. In the context of greedy algorithms, what is a "greedy choice property"?
- 5. 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?
- 6. What is the primary drawback of greedy algorithms?
- 7. What is a "cycle" in a directed graph?
- 8. Which algorithm is commonly used to find the shortest path between nodes in a weighted graph?
- 9. What is a "topological sort" of a directed acyclic graph (DAG)?
- 10. What is a "spanning tree" of a graph?
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