2. Consider the following project network, where the number over each node is the time required for the corresponding activity. Consider the problem of finding the longest path (the largest total time) through this network from start to finish, since the longest path is the critical path. 0 START 5 3 B 3 1 + (C) 4 7 0 FINISH (a) For the dynamic programming formulation of this problem, how many stages are there, and what are the states for each stage? (b) Use dynamic programming to solve this problem. However, instead of using the usual tables, show your work graphically. In particular, fill in the values of the various f (Sn) under the corresponding nodes, and show the resulting optimal arc to traverse out of each node by drawing an arrowhead near the beginning of the arc. Then identify the optimal path (the longest path) by following these arrowheads from the Start node to the Finish node. If there is more than one optimal path, identify them all. (c) Use dynamic programming to solve this problem by constructing the usual tables for each stage.

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2. Consider the following project network, where the number over each node is the time required for the
corresponding activity. Consider the problem of finding the longest path (the largest total time)
through this network from start to finish, since the longest path is the critical path.
0
START
(B)
2
3
E
(K)
7
L
0
FINISH
(a) For the dynamic programming formulation of this problem, how many stages are there, and what are
the states for each stage?
(b) Use dynamic programming to solve this problem. However, instead of using the usual tables, show
your work graphically. In particular, fill in the values of the various fn (Sn) under the corresponding
nodes, and show the resulting optimal arc to traverse out of each node by drawing an arrowhead near
the beginning of the arc. Then identify the optimal path (the longest path) by following these
arrowheads from the Start node to the Finish node. If there is more than one optimal path, identify
them all.
(c) Use dynamic programming to solve this problem by constructing the usual tables for each stage.
Transcribed Image Text:2. Consider the following project network, where the number over each node is the time required for the corresponding activity. Consider the problem of finding the longest path (the largest total time) through this network from start to finish, since the longest path is the critical path. 0 START (B) 2 3 E (K) 7 L 0 FINISH (a) For the dynamic programming formulation of this problem, how many stages are there, and what are the states for each stage? (b) Use dynamic programming to solve this problem. However, instead of using the usual tables, show your work graphically. In particular, fill in the values of the various fn (Sn) under the corresponding nodes, and show the resulting optimal arc to traverse out of each node by drawing an arrowhead near the beginning of the arc. Then identify the optimal path (the longest path) by following these arrowheads from the Start node to the Finish node. If there is more than one optimal path, identify them all. (c) Use dynamic programming to solve this problem by constructing the usual tables for each stage.
Expert Solution
Step 1

To find:

(a) The number of stages and states for each stage.

(b) Use dynamic programming to solve this problem instead of usual tables.

(c) Use dynamic programming to solve this problem by usual tables.

 

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