I need help with the adjacent matrix and initial path matrix and just like a quick explanation of the solution.

Database System Concepts
7th Edition
ISBN:9780078022159
Author:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
Publisher:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
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I need help with the following directional graph using Floyd warshall algorithm. I need help with the adjacent matrix and initial path matrix and just like a quick explanation of the solution. Thank you.

**CS 324 Fall 2022**

**Assignment: Graph Shortest Path Analysis**

**Objective:**
Use the graph to create the initial Adjacency Matrix and initialize the Path Matrix. Then, trace through the Floyd-Warshall algorithm to find the shortest paths between all pairs of vertices.

---

**Diagram Description:**

The graph consists of four vertices, labeled 0, 1, 2, and 3. The edges between these vertices have the following weights:

- From 0 to 1: Weight 15
- From 0 to 3: Weight 5
- From 1 to 2: Weight 3
- From 2 to 3: Weight 2
- From 3 to 0: Weight 11
- From 3 to 2: Weight 1

**Adjacency Matrix:**

```
      0  1  2  3
0   [        ]
1   [        ]
2   [        ]
3   [        ]
```

**Initial Path Matrix:**

```
      0  1  2  3
0   [        ]
1   [        ]
2   [        ]
3   [        ]
```

**Notes:**
- Populate the matrices by analyzing the weights of the direct edges between vertices.
- Use the Floyd-Warshall algorithm for computing shortest paths in dense networks. It updates the matrix iteratively, accounting for shorter paths through intermediate vertices.

**Instructions:**
1. Fill in the Adjacency Matrix based on direct edge weights.
2. Initialize the Path Matrix similarly.
3. Apply the Floyd-Warshall algorithm step-by-step, updating matrices as new shorter paths are identified.

**Thru Vertex 0:**

For tracing changes through vertex 0, update paths and matrices accordingly. 

**Example Matex Generation Steps:**
1. Start with direct paths as shown in the initial graph.
2. Check each pair of vertices to see if a shorter path exists through vertex 0.
3. Update matrices after verifying all vertex connections.

**Conclusion:**
The final matrices will reflect the shortest paths between all pairs of vertices based on the graph's initial configuration. Use these matrices to support algorithmic efficiency and correctness conclusions.

---

**Additional Resources:**
- [Floyd-Warshall Algorithm Explanation]
- [Graph Theory Basics]
- [Example Problems & Solutions]
Transcribed Image Text:**CS 324 Fall 2022** **Assignment: Graph Shortest Path Analysis** **Objective:** Use the graph to create the initial Adjacency Matrix and initialize the Path Matrix. Then, trace through the Floyd-Warshall algorithm to find the shortest paths between all pairs of vertices. --- **Diagram Description:** The graph consists of four vertices, labeled 0, 1, 2, and 3. The edges between these vertices have the following weights: - From 0 to 1: Weight 15 - From 0 to 3: Weight 5 - From 1 to 2: Weight 3 - From 2 to 3: Weight 2 - From 3 to 0: Weight 11 - From 3 to 2: Weight 1 **Adjacency Matrix:** ``` 0 1 2 3 0 [ ] 1 [ ] 2 [ ] 3 [ ] ``` **Initial Path Matrix:** ``` 0 1 2 3 0 [ ] 1 [ ] 2 [ ] 3 [ ] ``` **Notes:** - Populate the matrices by analyzing the weights of the direct edges between vertices. - Use the Floyd-Warshall algorithm for computing shortest paths in dense networks. It updates the matrix iteratively, accounting for shorter paths through intermediate vertices. **Instructions:** 1. Fill in the Adjacency Matrix based on direct edge weights. 2. Initialize the Path Matrix similarly. 3. Apply the Floyd-Warshall algorithm step-by-step, updating matrices as new shorter paths are identified. **Thru Vertex 0:** For tracing changes through vertex 0, update paths and matrices accordingly. **Example Matex Generation Steps:** 1. Start with direct paths as shown in the initial graph. 2. Check each pair of vertices to see if a shorter path exists through vertex 0. 3. Update matrices after verifying all vertex connections. **Conclusion:** The final matrices will reflect the shortest paths between all pairs of vertices based on the graph's initial configuration. Use these matrices to support algorithmic efficiency and correctness conclusions. --- **Additional Resources:** - [Floyd-Warshall Algorithm Explanation] - [Graph Theory Basics] - [Example Problems & Solutions]
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