) Using either Prim's or Kruskal's algorithms, determine the cost of the minimum spannin tree which will connect all the vertices of the graph below. State which algorithm you used. 5) Sketch the minimum spanning tree. 5 F 4 2 2 B 1 8 K 13 m 7 H 4 2 2 7 3 1 12 16 M

Advanced Engineering Mathematics
10th Edition
ISBN:9780470458365
Author:Erwin Kreyszig
Publisher:Erwin Kreyszig
Chapter2: Second-order Linear Odes
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### Task Description

#### a) 
Using either Prim’s or Kruskal’s algorithms, determine the cost of the minimum spanning tree which will connect all the vertices of the graph below. State which algorithm you used.

#### b) 
Sketch the minimum spanning tree.

### Graph Details

The graph is composed of the following vertices and edges along with their respective weights:

- **Vertices:** A, B, C, D, E, F, G, H, I, J, K, L, M
- **Edges and Weights:**
  - A - B : 2
  - A - F : 5
  - A - G : 2
  - B - C : 13
  - B - G : 8
  - C - D : 2
  - D - E : 1
  - D - I : 7
  - E - I : 12
  - E - M : 6
  - F - J : 4
  - G - H : 5
  - G - K : 1
  - H - I : 2
  - H - L : 4
  - I - M : 2
  - J - K : 4
  - K - L : 7
  - L - M : 3

### Exploring Algorithms: Prim's and Kruskal's

For effective problem-solving, you can focus on two popular algorithms for finding a minimum spanning tree (MST): **Prim’s Algorithm** and **Kruskal’s Algorithm**. Both aim to connect all vertices with the minimum total edge weight, but they differ in approach:
- **Prim’s Algorithm** starts from an arbitrary node and grows the MST by adding the smallest-weight edge from the existing tree to a vertex outside the tree.
- **Kruskal’s Algorithm** sorts all edges by weight and adds the smallest edge to the MST, ensuring no cycles are formed.

### Suggested Steps to Solve:

1. **Initialize** a starting point (for Prim’s) or sort edges (for Kruskal’s).
2. **Iterate** through the process, adding edges one by one to form the MST while avoiding cycles.
3. **Calculate the total weight** of the selected edges to determine the cost of the MST.

To achieve a comprehensive understanding, visualize the MST by sketching out the selected edges on the
Transcribed Image Text:### Task Description #### a) Using either Prim’s or Kruskal’s algorithms, determine the cost of the minimum spanning tree which will connect all the vertices of the graph below. State which algorithm you used. #### b) Sketch the minimum spanning tree. ### Graph Details The graph is composed of the following vertices and edges along with their respective weights: - **Vertices:** A, B, C, D, E, F, G, H, I, J, K, L, M - **Edges and Weights:** - A - B : 2 - A - F : 5 - A - G : 2 - B - C : 13 - B - G : 8 - C - D : 2 - D - E : 1 - D - I : 7 - E - I : 12 - E - M : 6 - F - J : 4 - G - H : 5 - G - K : 1 - H - I : 2 - H - L : 4 - I - M : 2 - J - K : 4 - K - L : 7 - L - M : 3 ### Exploring Algorithms: Prim's and Kruskal's For effective problem-solving, you can focus on two popular algorithms for finding a minimum spanning tree (MST): **Prim’s Algorithm** and **Kruskal’s Algorithm**. Both aim to connect all vertices with the minimum total edge weight, but they differ in approach: - **Prim’s Algorithm** starts from an arbitrary node and grows the MST by adding the smallest-weight edge from the existing tree to a vertex outside the tree. - **Kruskal’s Algorithm** sorts all edges by weight and adds the smallest edge to the MST, ensuring no cycles are formed. ### Suggested Steps to Solve: 1. **Initialize** a starting point (for Prim’s) or sort edges (for Kruskal’s). 2. **Iterate** through the process, adding edges one by one to form the MST while avoiding cycles. 3. **Calculate the total weight** of the selected edges to determine the cost of the MST. To achieve a comprehensive understanding, visualize the MST by sketching out the selected edges on the
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