Q. What is the main advantage of using dynamic programming over naive recursive solutions?
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A.
It is always faster.
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B.
It uses less memory.
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C.
It avoids redundant calculations.
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D.
It is easier to implement.
Solution
The main advantage of using dynamic programming is that it avoids redundant calculations by storing results of subproblems.
Correct Answer:
C
— It avoids redundant calculations.
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Q. What is the primary characteristic of dynamic programming?
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A.
It uses recursion only.
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B.
It solves problems by breaking them down into simpler subproblems.
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C.
It is only applicable to optimization problems.
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D.
It requires a sorted input.
Solution
Dynamic programming solves problems by breaking them down into simpler subproblems and storing the results to avoid redundant calculations.
Correct Answer:
B
— It solves problems by breaking them down into simpler subproblems.
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Q. Which dynamic programming problem involves finding the minimum cost to reach the last cell in a grid?
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A.
Longest increasing subsequence.
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B.
Edit distance.
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C.
Minimum path sum.
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D.
Subset sum problem.
Solution
The minimum path sum problem involves finding the minimum cost to reach the last cell in a grid by summing the weights of the cells.
Correct Answer:
C
— Minimum path sum.
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