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Use the graph as in but now the dots (vertices) are locations inthecity of Stockholm, and the dashed lines are paths between the locations (edges). The numbers now show the length (in meters) of the paths. The goal here is to find the shortest path between location A and location D! Use the steps of Dijkstras algorithm to find the minimal distance spanning tree from A to all other locations in fig 1! Build up the minimal distance tree from vertex A by adding one edge and one vertex at a time (and report every new graph as it builds up), always picking the new edge and new vertex which attaches to the current tree and gives the minimum distance to vertex A (remember to avoid circuits!). When you have built up the total minimal distance spanning tree from vertex A, containing all vertices of the graph, answer what the minimal distance from vertex A to vertex D is and which path this corresponds to!

Use the graph as in but now the dots (vertices) are locations inthecity of Stockholm, and the dashed lines are paths between the locations (edges). The numbers now show the length (in meters) of the paths. The goal here is to find the shortest path between location A and location D! Use the steps of Dijkstras algorithm to find the minimal distance spanning tree from A to all other locations in fig 1! Build up the minimal distance tree from vertex A by adding one edge and one vertex at a time (and report every new graph as it builds up), always picking the new edge and new vertex which attaches to the current tree and gives the minimum distance to vertex A (remember to avoid circuits!). When you have built up the total minimal distance spanning tree from vertex A, containing all vertices of the graph, answer what the minimal distance from vertex A to vertex D is and which path this corresponds to!

Advanced Engineering Mathematics
Advanced Engineering Mathematics
10th Edition
ISBN:9780470458365
Author:Erwin Kreyszig
Publisher:Erwin Kreyszig
Chapter2: Second-order Linear Odes
Section: Chapter Questions
Problem 1RQ
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A 39 B á 38 62 5 F 42 G ß. В 40 20 14 a D C Fig 1 a=10*a B=10*b, where a = 1 and b = 2 Use the graph as in but now the dots (vertices) are locations inthecity of Stockholm, and the dashed lines are paths between the locations (edges). The numbers now show the length (in meters) of the paths. The goal here is to find the shortest path between location A and location D! Use the steps of Dijkstras algorithm to find the minimal distance spanning tree from A to all other locations in fig 1! Build up the minimal distance tree from vertex A by adding one edge and one vertex at a time (and report every new graph as it builds up), always picking the new edge and new vertex which attaches to the current tree and gives the minimum distance to vertex A (remember to avoid circuits!). When you have built up the total minimal distance spanning tree from vertex A, containing all vertices of the graph, answer what the minimal distance from vertex A to vertex D is and which path this corresponds to!
Transcribed Image Text:A 39 B á 38 62 5 F 42 G ß. В 40 20 14 a D C Fig 1 a=10*a B=10*b, where a = 1 and b = 2 Use the graph as in but now the dots (vertices) are locations inthecity of Stockholm, and the dashed lines are paths between the locations (edges). The numbers now show the length (in meters) of the paths. The goal here is to find the shortest path between location A and location D! Use the steps of Dijkstras algorithm to find the minimal distance spanning tree from A to all other locations in fig 1! Build up the minimal distance tree from vertex A by adding one edge and one vertex at a time (and report every new graph as it builds up), always picking the new edge and new vertex which attaches to the current tree and gives the minimum distance to vertex A (remember to avoid circuits!). When you have built up the total minimal distance spanning tree from vertex A, containing all vertices of the graph, answer what the minimal distance from vertex A to vertex D is and which path this corresponds to!
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