Chapter 7: Networks, Paths and Trees Notes
Vertices, edges and degree, weighted and directed networks, shortest paths with the labelling method, and minimum spanning trees with Kruskal's and Prim's algorithms.
Sections
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7A The language of networks Mastered
Vertices, edges and degree, the sum of degrees rule, connected networks, and the difference between a walk, a trail, a path and a cycle.
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7B Weighted and directed networks Mastered
Weights on edges, one-way edges, turning a table or a map into a network diagram, and reading a network back into a table.
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7C Shortest paths Mastered
Finding the shortest path between two vertices of a weighted network, first by inspection and then with the labelling method (Dijkstra's algorithm).
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7D Minimum spanning trees Mastered
Trees and spanning trees, and finding a minimum spanning tree with Kruskal's algorithm and Prim's algorithm.
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7E Connector problems and best paths Mastered
Solving minimal connector problems with minimum spanning trees, and why the shortest path is not always in the tree or the best choice.
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