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Dijkstra's algorithm allows us to find the shortest path between any two vertices of a graph. It differs from the minimum spanning tree because the shortest distance between two vertices might not include all the vertices of the graph.

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Dijkstra-s-Algorithm-

Dijkstra's algorithm allows us to find the shortest path between any two vertices of a graph. It differs from the minimum spanning tree because the shortest distance between two vertices might not include all the vertices of the graph.

Input/Output of code –

image

Explanation of working of the code –

e1

Distance from node 1 to 2: 24

Distance or cost from node 1 to 4: 20

Distance or cost from node 3 to 1: 3

Distance or cost from node 4 to 1: 12

e2

Edge relaxation process

Suppose u = 1, v = 2, d(u, v) = 24

d= distance

d(u) = 0; distance from source to source is 0.

Initial d(v) = inf;

So, if d(v) > d(u, v) + d(u) : then

      d(v) = d(u, v) + d(u) 

example –

  if d(2) > d(1, 2) + d(1) then
  
        d(2) = d(1, 2) + d(1)  d(2) = 24 + 0 = 24

Using this relaxation process we find all the shortest distances:

So, our final result will be this 

Shortest distance from node 1 to 1: 0

Shortest distance from node 1 to 2: 24

Shortest distance from node 1 to 3: 3

Shortest distance from node 1 to 4: 15

e3

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Dijkstra's algorithm allows us to find the shortest path between any two vertices of a graph. It differs from the minimum spanning tree because the shortest distance between two vertices might not include all the vertices of the graph.

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