Let us start with a brief introduction of the bellman ford algorithm.
Bellman Ford's algorithm is used to find the shortest paths from the source vertex to all other vertices in a weighted graph. It depends on the following concept: Shortest path contains at most n−1 edges, because the shortest path couldn't have a cycle.
So why shortest path shouldn't have a cycle
?
There is no need to pass a vertex again, because the shortest path
to all other vertices could be found without the need for a second
visit for any vertices.
Algorithm Steps:
Since Bellman Ford is a single source shortest path algorithm, so let us pick one vertex to start with. Let that vertex be z.
Each column represents the distance from the source node and the parent from which the node gets the distance. We iterate n-1 = 7-1 = 6 times.
NOTE:
Credits: The images provided are from google
sheets and draw.io websites. I have provided them for a better
understanding of the problem.
Please provide a feedback and clarify if further if you wish
to.
FURTHER READING: Try reading Floyd–Warshall's
Algorithm for finding the shortest path between all pairs of
vertices.
It also looks like your question is dependent on some previous question, in such cases please provide the complete question. Also try to restructure the table according to your specific need.
Thanks, Happy to help.
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