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This chapter introduces graphs as diagrams for solving puzzles. Careful definitions specify the language of graph theory: vertices, edges, degrees, paths, circuits, Euler paths, Hamilton paths, and so on. Then our interest returns to trees, with algorithms for depth-first traversal and for breadth-first traversal.
Algorithms for constructing a minimum connector and finding shortest paths joining two specified vertices are given for edge-weighted graphs. Finally, for directed graphs, we give Dijkstra’s Algorithm for shortest dipaths and the Floyd-Warshall Algorithm for the distance matrix.
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- Graphs and Trees
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