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

  1. 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.

  2. 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.

  3. 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).

  4. 7D Minimum spanning trees Mastered

    Trees and spanning trees, and finding a minimum spanning tree with Kruskal's algorithm and Prim's algorithm.

  5. 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.

Formula sheet