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Decision Maths Networks Prim’s Algorithm. Wiltshire Prim`s Algorithm In Lesson 1 we learnt about Kruskal`s algorithm, which was used to solve minimum.

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Presentation on theme: "Decision Maths Networks Prim’s Algorithm. Wiltshire Prim`s Algorithm In Lesson 1 we learnt about Kruskal`s algorithm, which was used to solve minimum."— Presentation transcript:

1 Decision Maths Networks Prim’s Algorithm

2 Wiltshire Prim`s Algorithm In Lesson 1 we learnt about Kruskal`s algorithm, which was used to solve minimum connector problems. Another method that can be used is Prim`s algorithm. Step 1 – Select any node Step 2 – Connect it to the nearest node Step 3 – Connect one node already selected to the nearest unconnected node. Step 4 – Repeat 3 until all nodes are connected.

3 Wiltshire Prim`s Algorithm Consider the example we looked at last lesson. Select any node you like. Lets select F.

4 Wiltshire Prim`s Algorithm Connect it to the nearest node. C and D are both 3 away so we can choose either. Lets select C.

5 Wiltshire Prim`s Algorithm The nearest node to either of F or C is D, which is only 3 away from F. So connect D to F.

6 Wiltshire Prim`s Algorithm The nearest to D, F or C is E which is 2 from D. So connect E to D.

7 Wiltshire Prim`s Algorithm The nearest to any of these four nodes is A which is 5 away from F. Connect A to F.

8 Wiltshire Prim`s Algorithm We now need to connect the last node, B. The shortest arc is AB, which is 2. Connect B to A.

9 Wiltshire Prim`s Algorithm All the nodes are now connected so this is the minimum connector or minimal spanning tree.

10 Wiltshire Distance Table The Network can also be represented as a table. The infinity symbol (∞) means there is no edge between the two nodes.

11 Wiltshire Prim`s on a Distance Table We are going to apply Prim`s algorithm to the distance table. This demonstrates how a computer could apply the algorithm. Prim`s is more suitable than Kruskal`s as computers have a problem recognising loops. As you go through the algorithm, see if you can relate the procedure to the last example.

12 Wiltshire Prim`s on a Distance Table Step 1 – Select any arbitrary node. Step 2 – Delete the row and loop the column that correspond to the node selected. Step 3 – Choose the smallest number in the loop. Step 4 –Delete the row that this smallest number is in. Step 5 – Loop the column that corresponds to the row just deleted. Step 6 –Choose the smallest number in any loop. Step 7 – Repeat steps 4, 5 and 6 until all rows have been deleted and columns looped.

13 Wiltshire Prim`s on a Distance Table Here I have chosen F. Delete the row. Loop the column. Select the smallest number in the loop.

14 Wiltshire Prim`s on a Distance Table Delete row C. Loop column C. Select the smallest number in any loop that is not crossed out.

15 Wiltshire Prim`s on a Distance Table Delete row D. Loop column D. Select the smallest number in any loop that is not crossed out.

16 Wiltshire Prim`s on a Distance Table Delete row E. Loop column E. Select the smallest number in any loop that is not crossed out.

17 Wiltshire Prim`s on a Distance Table Delete row A. Loop column A. Select the smallest number in any loop that is not crossed out.

18 Wiltshire Prim`s on a Distance Table Delete row B. Loop column B.

19 Wiltshire Prim`s on a Distance Table The algorithm is complete when all the columns have been looped and the rows crossed out. The circles show the edges in the minimum connector.

20 Wiltshire Prim`s on a Distance Table In this case they are AB, DE, AF, CF, DF Can you explain why this procedure is exactly the same as applying Prim`s algorithm?


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