Reference no: EM132747932
Question 1. Write a program to solve the Longest Common Subsequence problem using dynamic programming as discussed in class. For example, if the input is X = ABCBDAB and Y = BDCABA, then the output of your program should be BCBA.
Question 2. Suppose you need to create a work plan, and each week you have to choose a job to undertake. The set of possible jobs is divided into low-stress and high-stress jobs.
If you select a low-stress job in week i, then you get a revenue of 1 dollars; if you select a high-stress job, you get a revenue of hi dollars. The catch, however, is that in order for you to take on a high-stress job in week i, it's required that you rest in week i - 1 because you need a full week of prep time to get ready for the stress level (It's okay to choose a high-stress job in week 1.) On the other hand, you can take a low-stress job in week i even if you have done a job (of either type) in week i-1.
So, given a sequence of n weeks, a plan is specified by a choice of "low-stress", "high-stress" or "none" for each of the n weeks, with the constraint that if "high-stress" is chosen for week i > 1, then "none" must be chosen for week i - 1. The value of the plan is determined in the natural way; for each i, you add /i to the value if you choose "low-stress" in week i, and you add hi to the value if you choose "high-stress" in week i. (You add 0 if you choose "none" in week i.)
Example: Suppose n=4, and the values of /i and h are given by the following table. Then the plan of the maximum value would be to choose "none" in week 1, a high stress job in week 2, and low-stress jobs in weeks 3 and 4. The value of this plan would be 0+50+10+10=70.
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i
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Week 1
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Week 2
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Week 3
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Week 4
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/
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10
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1
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10
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10
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h
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5
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50
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5
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1
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Design a dynamic programming algorithm to find the value of the optimal plan. Implement your algorithm using any programming language you prefer.