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For a weighted graph G (V,E,w), the single-source shortest paths problem is to find the shortest paths from a vertex v E V to all
For a weighted graph G (V,E,w), the single-source shortest paths problem is to find the shortest paths from a vertex v E V to all other vertices in V. A shortest path from u to v is a minimum-weight path. Figure 1 describes the Dijkstra's algorithm which solves the single-source shortest path problem on both directed and undirected graphs with nonnegative weights 2. 3. 4. 5. 6. begin VT for all v E (V -Vr) do if (s, a?) exists set I [u] := w(s, u): else set e find a vertex u sich that 1 [u) := min {1 [11v6 (V-Vr)); for all E (V VT) do while WT begin V do 8. 10. 12. 13. 14. endwhile Figure 1: Dijkstra's single source shortest path algorithm Specifications: 1. Implement a sequential version of the Dijkstra's algorithm in C 2. Implement a parallel version of the Dijkstra's algorithm using OpenMP 3. Compare the performance of the implementations increasing the number of graph's nodes
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