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Home > Floyd-Warshall algorithm


 

In computer science, the Floyd-Warshall algorithm is an algorithm to solve the All pairs shortest path problem in a weighted, directed graph by multiplying an adjacency matrix representation of the graph multiple times. The edges may have negative weights, but no negative weight cycles. The time complexity is Θ(|V|3).

The algorithm is based on the following observation: Assuming the vertices of a directed graph G are V = {1,2,3,4,.....,n}, consider a subset {1,2,3,...,k}. For any pair of vertices i,j in V, consider all paths from i to j whose intermediate vertices are all drawn from {1,2,...,k}, and p is a minimum weight path from among them. The algorithm exploits a relationship between path p and shortest paths from i to j with all intermediate vertices in the set {1,2,...,k-1}. The relationship depends on whether or not k is an intermediate vertex of path p.

Here is a pseudo-algorithm of the Floyd-Warshall algorithm:

W is a n-by-n matrix

FW(W) { n <- rows[W]; D0 <- W; for k <- 1 to n do for i <- 1 to n do for j <- 1 to n do dijk <- min(dijk-1, dikk-1+dkjk-1) return Dn }


This is also called the All-Pairs-Shortest-Path(APSP) algorithm.

1 Implementations

Implementation in C

2 External links

Graph algorithms

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