In this problem, we consider a weighted interval scheduling problem with the 9 jobs shown below. Job 1, weight = 8 Job 2, weight = 20 Job 3, weight 10

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8.
In this problem, we consider a weighted interval scheduling problem with the
9 jobs shown below.
Job 1, weight = 8
Job 2, weight = 20
Job 3, weight = 10
Job 4, weight = 15
Job 5, weight = 12
%3D
Job 6, weight = 13
Job 7, weight = 10|
Job 8, weight = 15
Job 9, weight = 8
time
Recall that the objective is to select a set of compatible jobs (i.e., jobs that do not
overlap each other in time) for which the sum of the weights is maximized. The table
below gives the value of optimal solutions to subproblems of the original subproblem.
The variable j indicates the subproblem involving jobs {1,2, ...,j}; note that j = 0
corresponds to the empty set.
Using the table of the values of optimal solutions, starting from the rightmost part of
the table, draw the arrows that we use to reconstruct the optimal solution. Also, state
what this solution is (your answer will be a subset of {1, 2, ...,9}).
1 2 3
4
5
6
7
8 9
value
20
20
35
35
35
45
50
53
Transcribed Image Text:8. In this problem, we consider a weighted interval scheduling problem with the 9 jobs shown below. Job 1, weight = 8 Job 2, weight = 20 Job 3, weight = 10 Job 4, weight = 15 Job 5, weight = 12 %3D Job 6, weight = 13 Job 7, weight = 10| Job 8, weight = 15 Job 9, weight = 8 time Recall that the objective is to select a set of compatible jobs (i.e., jobs that do not overlap each other in time) for which the sum of the weights is maximized. The table below gives the value of optimal solutions to subproblems of the original subproblem. The variable j indicates the subproblem involving jobs {1,2, ...,j}; note that j = 0 corresponds to the empty set. Using the table of the values of optimal solutions, starting from the rightmost part of the table, draw the arrows that we use to reconstruct the optimal solution. Also, state what this solution is (your answer will be a subset of {1, 2, ...,9}). 1 2 3 4 5 6 7 8 9 value 20 20 35 35 35 45 50 53
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