5 B 40 E 5 5 30 6. 35 D 8 H A LA 19 11 12 23 50 20 10 F F K B D F 6. 3. 3. 6. 2. 2. 2. 9, 2. 4.
5 B 40 E 5 5 30 6. 35 D 8 H A LA 19 11 12 23 50 20 10 F F K B D F 6. 3. 3. 6. 2. 2. 2. 9, 2. 4.
Computer Networking: A Top-Down Approach (7th Edition)
7th Edition
ISBN:9780133594140
Author:James Kurose, Keith Ross
Publisher:James Kurose, Keith Ross
Chapter1: Computer Networks And The Internet
Section: Chapter Questions
Problem R1RQ: What is the difference between a host and an end system? List several different types of end...
Related questions
Question
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Transcribed Image Text:В
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![4.74. Give an algorithm (or two) for finding a marimum weight spanning tree. Find a
maximum weight spanning tree for each of the three graphs above.](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F7071178f-afef-4ac0-98b1-2b0472d13bc3%2F076ebbb6-be37-4301-a730-e788442fae89%2F6qp8l88_processed.png&w=3840&q=75)
Transcribed Image Text:4.74. Give an algorithm (or two) for finding a marimum weight spanning tree. Find a
maximum weight spanning tree for each of the three graphs above.
Expert Solution
![](/static/compass_v2/shared-icons/check-mark.png)
Step 1
MAXIMUM WEIGHT SPANNING TREES:
A spanning tree that has maximum weight is called a maximum spanning tree.
We can find this maximum weight spanning tree using Kruskal’s algorithm.
KRUSKAL’S ALGORITHM:
It is a greedy algorithm that is used to find the minimum or maximum spanning tree.
STEPS:
- Initially, only the vertices without edges are drawn.
- Then the edges are arranged in descending order based on their costs.
- The edge with the maximum cost is added to the tree.
- This process is continued for n-1 times until any loop is formed in the tree.
- The output of Kruskal’s algorithm is a single tree.
The algorithm’s time complexity is O(mlogn)
Where n is the number of nodes,
m is the number of edges.
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