Introduction
- Dijkstra’s Algorithm was derived by a Dutch
- Computer Scientist ‘Edsger Dijkstra’ in 1956 and published in 1959.
- It’s a graph search algorithms that solve the single-source shortest path problem for a graph with nonnegative edge path costs, producing a shortest path tree.
- This algorithm is often used in routing and as subroutine in other graph algorithms.
How its work
- This algorithm finds the path with lowest cost
(i.e. the short path) between the
vertex and every other vertex.
For example:
If the vertices Of the graph represent cities
and edge path costs represent driving distance between pairs of cities connected
by a direct road, Dijkstra can be used to find the short road between one city
to all other cities.
- According to this algorithm to solve a given problem, we need to solve different part of problems.
Shortest Path
Negative Cost Edges:
1 Dijkstra’s algorithm assumes
positive cost edges
2 For some applications, negative cost
edges make sense
3 Shortest path not well defined if a
graph has a negative cost cycle
1 Topological Sort can be used for
solving the shortest path problem in directed a cyclic graphs
2 Bellman-Ford algorithm finds
shortest paths in a graph with negative cost edges (or reports the existence of
a negative cost cycle).
In some fields, artificial
intelligence in particular, Dijkstra's algorithm or a variant of it is known as
uniform cost search and formulated as an instance of the more general idea of
best first search.
Application of Dijkstra’s Algorithm
- Telephone Network
The vertices represents switching
station, the edges represents transmission line, and the weight of edges
represent the BW.
- Flight Agenda
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