Figure 2

# Digraphs with n = 1024 vertices and various arc densities with the number of relaxations of algorithms divided by R F W .

## Contexts in source publication

**Context 1**

... chose the constant 60 so that the plots of the Tree algorithm and the added function start at the same initial point, namely at 2 8 vertices. The results of the second experiment for = 1024 vertices and sizes of the arc set varying between n 2 /10 and 8n 2 /10 are shown in Figure 2. In Figure 1 we see a significant reduction of relaxations which also implies the decrease of running time of the Tree and Hourglass algorithms. ...

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... Consequently, we are not solving n, where n is a number of nodes, unrelated SSSP problems, but one single all-pairs shortest path problem (APSP). The traditional algorithm solving this problem is a dynamic-programming centralized Floyd-Warshall algorithm ( [44,48]). Indeed, some attempts were made to make it parallel, and most of them applied techniques used in parallel matrix multiplication (cf. [49]). ...

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The Floyd‐Warshall algorithm is the most popular algorithm for determining the shortest paths between all vertex pairs in a graph. It is a very simple and an elegant algorithm. However, for graphs without any negative weighted edges, using Dijkstra's shortest path algorithm for every vertex as a source vertex to produce all‐pairs shortest paths works significantly better than the Floyd‐Warshall algorithm, especially for large graphs. Furthermore, for graphs with negative weighted edges, with no negative cycle, in general Johnson's algorithm also performs better than the Floyd‐Warshall algorithm for large graphs. Johnson's algorithm first transforms the graph into a non‐negative one by using the Bellman‐Ford algorithm, then applies the Dijkstra's algorithm to the transformed graph. Thus, mainly, the Floyd‐Warshall algorithm is quite inefficient, especially for large graphs. In this paper, we show a simple improvement on the Floyd‐Warshall algorithm that will increases its efficiency, especially for very sparse graphs (i.e., the number of its edges is less than the number of its vertices), so it can be used instead of more complicated alternatives. We also show that our approach is also very effective for denser disconnected graphs. Since the new algorithm modifies the original Floyd‐Warshall algorithm, it is mainly aimed for directed graphs without negative cycles. Most programmers prefer to implement the Floyd‐Warshall algorithm over more complicated but more efficient alternatives for solving all‐pairs shortest path problems. In this work, we show that without the addition of any complicated data structures, the performance of the Floyd‐Warshall algorithm can be improved very easily. Our practical approach works even better than its alternatives for large sparse graphs.

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