Q. What is dynamic programming primarily used for?
A.
To solve problems with overlapping subproblems
B.
To sort data efficiently
C.
To manage memory allocation
D.
To perform binary search
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Solution
Dynamic programming is used to solve problems that can be broken down into overlapping subproblems, allowing for the reuse of previously computed results.
Correct Answer:
A
— To solve problems with overlapping subproblems
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Q. Which of the following is a characteristic of dynamic programming?
A.
It always uses recursion
B.
It requires a greedy approach
C.
It stores results of subproblems
D.
It is only applicable to optimization problems
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Solution
Dynamic programming is characterized by storing the results of subproblems to avoid redundant calculations, which improves efficiency.
Correct Answer:
C
— It stores results of subproblems
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Q. Which of the following is an example of a problem that can be solved using dynamic programming?
A.
Finding the maximum sum of a contiguous subarray
B.
Finding the maximum element in an array
C.
Sorting an array of integers
D.
Searching for an element in an unsorted array
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Solution
Finding the maximum sum of a contiguous subarray can be solved using dynamic programming, specifically with Kadane's algorithm.
Correct Answer:
A
— Finding the maximum sum of a contiguous subarray
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Q. Which of the following is NOT a step in the dynamic programming approach?
A.
Characterizing the structure of an optimal solution
B.
Recursively solving the problem
C.
Storing the results of subproblems
D.
Constructing a solution from optimal subsolutions
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Solution
While recursion can be used in dynamic programming, it is not a necessary step; dynamic programming can also be implemented iteratively.
Correct Answer:
B
— Recursively solving the problem
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