All pairs shortest paths Video Lecture | Algorithms - Computer Science Engineering (CSE)

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FAQs on All pairs shortest paths Video Lecture - Algorithms - Computer Science Engineering (CSE)

1. What is the significance of finding all pairs shortest paths in a graph?
Ans. Finding all pairs shortest paths in a graph is essential in various applications such as network routing, traffic management, and social network analysis. It helps in determining the shortest path between every pair of vertices in the graph.
2. How is the Floyd-Warshall algorithm used to find all pairs shortest paths?
Ans. The Floyd-Warshall algorithm is a dynamic programming approach that computes the shortest path between all pairs of vertices in a weighted graph. It uses a matrix to store the shortest distances and updates the matrix iteratively until all pairs are considered.
3. Can the Floyd-Warshall algorithm handle negative edge weights in a graph?
Ans. Yes, the Floyd-Warshall algorithm can handle negative edge weights in a graph. It can detect negative cycles and return them as part of the output if they exist. However, the algorithm may not produce correct results if negative cycles are present in the graph.
4. How does the time complexity of the Floyd-Warshall algorithm compare to other algorithms for finding all pairs shortest paths?
Ans. The time complexity of the Floyd-Warshall algorithm is O(V^3), where V is the number of vertices in the graph. This makes it less efficient than some other algorithms like Dijkstra's algorithm for finding single source shortest paths, but more effective for computing all pairs shortest paths.
5. What are some practical applications of the all pairs shortest paths problem in real-world scenarios?
Ans. The all pairs shortest paths problem has applications in various fields such as transportation planning, logistics optimization, and social network analysis. It is used to determine the most efficient routes, minimize travel time, and understand the connectivity between different entities in a network.
81 videos|80 docs|33 tests
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