[Solved] When dynamic programming is applied to a problem, it takes far less time as compared to other methods that don’t take advantage of overlapping subproblems.

Computer Science Engineering (CSE)
Design and Analysis of Algorithms
When dynamic programming is applied to a...

Q.	When dynamic programming is applied to a problem, it takes far less time as compared to other methods that don’t take advantage of overlapping subproblems.
A.	true
B.	false
Answer» A. true
Explanation: dynamic programming calculates the value of a subproblem only once, while other methods that don’t take advantage of the overlapping subproblems property may calculate the value of the same subproblem several times. so, dynamic programming saves the time of recalculation and takes far less time as compared to other methods that don’t take advantage of the overlapping subproblems property.

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