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Lab 6: Dijkstra's Algorithm, Due: Wed, 28nd March, During Lab

In this lab you will implement dijkstra's shortest path algorithm as described in Fig 4.8. You can use the HeapDict priority queue implementation that works like a dictionary, and supports both insert and decrease key operations by simply setting the dictionary key to a given value. It also supports the delete min operation via popitem.

Your script should take a input a graph with weights, and a starting vertex \(v\), and it should output the shortest path length from \(v\) to all vertices in the graph, and you should also output the short path as a list of vertices (using the prev pointers in Fig 4.8).

The input graph will be specified as a pair of edges and weights; the example graph shown in Fig 4.9 is available as: Attach:example.txt.

For example, the first line 1 2 4 means that the directed edge (1,2) has weight 4.

The output should be as shown in Fig 4.9 when called with 1 as the source node, as follows:
1: 0, [ 1 ]
2: 3, [ 1,4,2 ]
3: 5, [ 1,4,2,3 ]
4: 2, [ 1,4 ]
5: 6, [ 1,4,2,5 ]
The format per line is vertex id: distance from \(v\), shortest path from \(v\)

Test your code on the following dataset: Attach:rome99.txt. This graph contains a large portion of the directed road network of the city of Rome, Italy, from 1999. The graph contains 3353 vertices and 8870 edges.

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Page last modified on March 22, 2018, at 08:55 PM