Shortest Path from vertex 0 to vertex 1 is 0 2 3 1 Shortest Path from vertex 0 to vertex 2 is 0 2 Shortest Path from vertex 0 to vertex 3 is 0 2 3 Shortest Path from vertex 1 to vertex 0 is 1 0 Shortest Path from vertex 1 to vertex 2 is 1 0 2 Shortest Path from vertex 1 to vertex 3 is 1 0 2 3 Shortest Path from vertex 2 to vertex 0 is 2 3 1 0 Shortest Path from vertex 2 to vertex 1 is 2 3 1 Shortest Path from vertex 2 to vertex 3 is 2 3 Shortest Path from vertex 3 to vertex 0 is 3 1 0 Shortest Path from vertex 3 to vertex 1 is 3 1 Shortest Path from vertex 3 to vertex 2 is 3 1 0 2 We have already covered single-source shortest paths in separate posts. If the graph is dense i. Floyd—Warshall algorithm is an algorithm for finding shortest paths in a weighted graph with positive or negative edge weights but with no negative cycles. We update the cost matrix whenever we found a shorter path from i to j through vertex k. Since for a given k, we have already considered vertices [ The path [3, 1, 2] is not considered, because [1, 0, 2] is the shortest path encountered so far from 1 to 2.

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Shortest Path from vertex 0 to vertex 1 is 0 2 3 1 Shortest Path from vertex 0 to vertex 2 is 0 2 Shortest Path from vertex 0 to vertex 3 is 0 2 3 Shortest Path from vertex 1 to vertex 0 is 1 0 Shortest Path from vertex 1 to vertex 2 is 1 0 2 Shortest Path from vertex 1 to vertex 3 is 1 0 2 3 Shortest Path from vertex 2 to vertex 0 is 2 3 1 0 Shortest Path from vertex 2 to vertex 1 is 2 3 1 Shortest Path from vertex 2 to vertex 3 is 2 3 Shortest Path from vertex 3 to vertex 0 is 3 1 0 Shortest Path from vertex 3 to vertex 1 is 3 1 Shortest Path from vertex 3 to vertex 2 is 3 1 0 2 We have already covered single-source shortest paths in separate posts.

If the graph is dense i. Floyd—Warshall algorithm is an algorithm for finding shortest paths in a weighted graph with positive or negative edge weights but with no negative cycles. We update the cost matrix whenever we found a shorter path from i to j through vertex k.

Since for a given k, we have already considered vertices [ The path [3, 1, 2] is not considered, because [1, 0, 2] is the shortest path encountered so far from 1 to 2. The Floyd—Warshall algorithm is very simple to code and really efficient in practice. How this works? Initially, the length of the path i, i is zero.

A path [i, k…i] can only improve upon this if it has length less than zero, i. Thus, after the algorithm, i, i will be negative if there exists a negative-length path from i back to i.

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## Shortest Paths between all Pairs of Nodes

A single execution of the algorithm will find the lengths summed weights of the shortest paths between all pair of vertices. With a little variation, it can print the shortest path and can detect negative cycles in a graph. Floyd-Warshall is a Dynamic-Programming algorithm. These are adjacency matrices. The size of the matrices is going to be the total number of vertices. The Distance Matrix is going to store the minimum distance found so far between two vertices.

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## All pair shortest path problem(Floyd Warshall Algorithm), with C Program Example

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## Floyd-Warshall Algorithm

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## Floyd-Warshall Algorithm

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