Please explain! Dynamic Programming can be used to solve numerous real-life optimization problems. Consider these six problems.Five of these six problems have elegant and efficient solutions using Dynamic Programming, but one of these problems does not. Which of these six problems cannot be solved using Dynamic Programming? Choice 1 of 6: Given a rod, and a set of prices p[i] for each cut of length i, determine how to cut the rods to maximize your profit Choice 2 of 6: Given a rod, and a set of prices p[i] for each cut of length i, determine how to cut the rods to minimize your profit Choice 3 of 6: Given a graph, determine the shortest path from the start vertex to the end vertex without repeating any edges Choice 4 of 6: Given a graph, determine the longest path from the start vertex to the end vertex without repeating any edges Choice 5 of 6: Given a sequence of integers, determine the longest increasing subsequence of that sequence Choice 6 of 6: Given a sequence of integers, determine the longest decreasing subsequence of that sequence
Please explain!
Dynamic
Consider these six problems.Five of these six problems have elegant and efficient solutions using Dynamic Programming, but one of these problems does not.
Which of these six problems cannot be solved using Dynamic Programming?
Choice 1 of 6:
Given a rod, and a set of prices p[i] for each cut of length i, determine how to cut the rods to maximize your profit
Choice 2 of 6: Given a rod, and a set of prices p[i] for each cut of length i, determine how to cut the rods to minimize your profit
Choice 3 of 6: Given a graph, determine the shortest path from the start vertex to the end vertex without repeating any edges
Choice 4 of 6: Given a graph, determine the longest path from the start vertex to the end vertex without repeating any edges
Choice 5 of 6: Given a sequence of integers, determine the longest increasing subsequence of that sequence
Choice 6 of 6: Given a sequence of integers, determine the longest decreasing subsequence of that sequence
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