Explain the concept of backtracking in the Dijkstra Algorithm.

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Explain the concept of backtracking in the Dijkstra Algorithm.

In the Dijkstra Algorithm, backtracking refers to the process of tracing back the shortest path from the destination vertex to the source vertex after the algorithm has found the shortest path. It is an essential step to determine the actual path taken to reach the destination.

Once the algorithm has completed its execution and all the shortest distances to each vertex have been calculated, the backtracking process begins. Starting from the destination vertex, we move backwards through the graph, following the predecessor pointers that were set during the algorithm's execution.

The predecessor pointers store the previous vertex in the shortest path from the source vertex to the current vertex. By following these pointers, we can reconstruct the shortest path from the destination vertex back to the source vertex.

During the backtracking process, we keep track of the vertices visited in reverse order, starting from the destination vertex and moving towards the source vertex. This allows us to obtain the correct sequence of vertices that form the shortest path.

The backtracking process continues until we reach the source vertex. At this point, we have successfully reconstructed the shortest path from the source to the destination vertex.

Backtracking is crucial in the Dijkstra Algorithm as it provides the actual path taken to reach the destination vertex. Without backtracking, we would only have the shortest distance but not the specific sequence of vertices that form the shortest path.

Overall, backtracking in the Dijkstra Algorithm is the process of tracing back the shortest path from the destination vertex to the source vertex by following the predecessor pointers. It allows us to determine the actual path taken and is essential for understanding the route chosen in finding the shortest path.