Deck 20: Minimal Spanning Tree

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سؤال
It is possible for minimal spanning tree problems to have alternative optimal solutions.
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سؤال
The numbers on this network represent times to distribute a message. Use the minimal spanning tree algorithm to determine how messages should be passed in order to minimize total time. The numbers on this network represent times to distribute a message. Use the minimal spanning tree algorithm to determine how messages should be passed in order to minimize total time.  <div style=padding-top: 35px>
سؤال
What are some other criteria (measures), besides distance, that might be minimized in a minimal spanning tree problem? Provide an example situation for each criterion.
سؤال
Find the minimal spanning tree for this network. Find the minimal spanning tree for this network.  <div style=padding-top: 35px>
سؤال
The minimal spanning tree algorithm will lead to an optimal solution regardless of which node is chosen at the start of the algorithm.
سؤال
The minimal spanning tree algorithm is considered to be:

A)a greedy algorithm.
B)an arc algorithm.
C)a non-optimal algorithm.
D)a non-feasible algorithm.
سؤال
For the following eight cities with the given distances, find the minimal spanning tree path. For the following eight cities with the given distances, find the minimal spanning tree path.  <div style=padding-top: 35px>
سؤال
For a network consisting of N nodes, a minimal spanning tree will consist of:

A)N -2 arcs.
B)N -1 arcs.
C)N arcs.
D)N + 1 arcs.
سؤال
Find the minimal spanning tree for this network. Find the minimal spanning tree for this network.  <div style=padding-top: 35px>
سؤال
The minimal spanning tree algorithm will:

A)sometimes fail to produce a feasible solution.
B)always produce a feasible, but not necessarily optimal, solution.
C)always produce an optimal solution.
D)always produce an optimal, but not necessarily feasible, solution.
سؤال
What is a greedy algorithm? What is an example of a greedy algorithm?
سؤال
The minimum spanning tree allows a person to visit every node without backtracking.
سؤال
The minimum spanning tree algorithm is considered a heuristic.
سؤال
The arcs in a minimal spanning tree problem can be measured in terms of criteria other than distance.
سؤال
The minimal spanning tree algorithm has connected nodes 8 and 9. Node 8 could be connected to nodes 11 (distance 6) and 12 (distance 5) and node 9 could be connected to node 12 (distance 3) and node 13 (distance 2). Which will you do next?

A)connect 8 to 11
B)connect 8 to 12
C)connect 9 to 12
D)connect 9 to 13
سؤال
Consider a minimal spanning tree problem in which pipe must be laid to connect sprinklers on a golf course. When represented with a network,

A)the pipes are the arcs and the sprinklers are the nodes.
B)the pipes are the nodes and the sprinklers are the arcs.
C)the pipes and the sprinklers are the tree.
D)each sprinkler must be connected to every other sprinkler.
سؤال
In the minimal spanning tree algorithm, you must consider the unconnected nodes that can be reached from any of the connected nodes, rather than arbitrarily considering only one of the connected nodes.
سؤال
Cases in which a greedy algorithm provides the optimal solution are rare.
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Deck 20: Minimal Spanning Tree
1
It is possible for minimal spanning tree problems to have alternative optimal solutions.
True
2
The numbers on this network represent times to distribute a message. Use the minimal spanning tree algorithm to determine how messages should be passed in order to minimize total time. The numbers on this network represent times to distribute a message. Use the minimal spanning tree algorithm to determine how messages should be passed in order to minimize total time.
3
What are some other criteria (measures), besides distance, that might be minimized in a minimal spanning tree problem? Provide an example situation for each criterion.
Answer not provided.
4
Find the minimal spanning tree for this network. Find the minimal spanning tree for this network.
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5
The minimal spanning tree algorithm will lead to an optimal solution regardless of which node is chosen at the start of the algorithm.
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6
The minimal spanning tree algorithm is considered to be:

A)a greedy algorithm.
B)an arc algorithm.
C)a non-optimal algorithm.
D)a non-feasible algorithm.
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7
For the following eight cities with the given distances, find the minimal spanning tree path. For the following eight cities with the given distances, find the minimal spanning tree path.
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8
For a network consisting of N nodes, a minimal spanning tree will consist of:

A)N -2 arcs.
B)N -1 arcs.
C)N arcs.
D)N + 1 arcs.
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9
Find the minimal spanning tree for this network. Find the minimal spanning tree for this network.
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10
The minimal spanning tree algorithm will:

A)sometimes fail to produce a feasible solution.
B)always produce a feasible, but not necessarily optimal, solution.
C)always produce an optimal solution.
D)always produce an optimal, but not necessarily feasible, solution.
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11
What is a greedy algorithm? What is an example of a greedy algorithm?
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12
The minimum spanning tree allows a person to visit every node without backtracking.
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13
The minimum spanning tree algorithm is considered a heuristic.
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14
The arcs in a minimal spanning tree problem can be measured in terms of criteria other than distance.
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15
The minimal spanning tree algorithm has connected nodes 8 and 9. Node 8 could be connected to nodes 11 (distance 6) and 12 (distance 5) and node 9 could be connected to node 12 (distance 3) and node 13 (distance 2). Which will you do next?

A)connect 8 to 11
B)connect 8 to 12
C)connect 9 to 12
D)connect 9 to 13
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16
Consider a minimal spanning tree problem in which pipe must be laid to connect sprinklers on a golf course. When represented with a network,

A)the pipes are the arcs and the sprinklers are the nodes.
B)the pipes are the nodes and the sprinklers are the arcs.
C)the pipes and the sprinklers are the tree.
D)each sprinkler must be connected to every other sprinkler.
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17
In the minimal spanning tree algorithm, you must consider the unconnected nodes that can be reached from any of the connected nodes, rather than arbitrarily considering only one of the connected nodes.
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18
Cases in which a greedy algorithm provides the optimal solution are rare.
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