35. Use the Breadth-First Spanning Tree Search Algorithm to find a spanning tree of K. Start from vertex j. Remember, we start with vertex j being labeled 0. h g K6 a. Vertices that should be labeled as step 1: b. Vertices that should be labeled as step 2: c. Vertices that should be labeled as step 3: d 0 d. Vertices that should be labeled as step 4: e. Edges that need to be removed to get a spanning tree:

Computer Networking: A Top-Down Approach (7th Edition)
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Author:James Kurose, Keith Ross
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Chapter1: Computer Networks And The Internet
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35. Use the Breadth-First Spanning Tree Search Algorithm to find a spanning tree of K
Start from vertex j. Remember, we start with vertex j being labeled 0.
b
h
00
g
K6
d
0
a. Vertices that should be labeled as step 1:
b. Vertices that should be labeled as step 2:
c. Vertices that should be labeled as step 3:
d. Vertices that should be labeled as step 4:
e. Edges that need to be removed to get a spanning tree:
Transcribed Image Text:35. Use the Breadth-First Spanning Tree Search Algorithm to find a spanning tree of K Start from vertex j. Remember, we start with vertex j being labeled 0. b h 00 g K6 d 0 a. Vertices that should be labeled as step 1: b. Vertices that should be labeled as step 2: c. Vertices that should be labeled as step 3: d. Vertices that should be labeled as step 4: e. Edges that need to be removed to get a spanning tree:
Expert Solution
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How do I find a spanning tree of a graph using a breadth-first search?

Consider connecting a vertex to the "parent" vertex that "found" this vertex. Then, since every vertex is visited eventually, there is a path leading back to the source vertex.

By picking 22 vertices ?,?

 and their paths to the source vertex, we see that there is a path between ? and ?. Hence the graph is connected. Every vertex other than the source vertex generates an edge, so this graph has ?1 nodes. As such, it is a spanning tree of the original graph.

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