CS112 Lab 11, April 15, 2010 Diane H. Theriault

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Presentation transcript:

CS112 Lab 11, April 15, Diane H. Theriault

Graphs You can’t throw a rock in Computer Science without hitting a graph Vertexes: the things in the graph Edges: the relationships/connectivity between things. G = (V,E) (Graph = (Vertexes, Edges))

Graph Implementations Adjacency lists – Each node has a list of other nodes it is connected to. (alternatives) – Adjacency matrix – Edge List

Constructing a Graph (Implementation) (Go through code on p. 432 for reading in a graph from a file.) raph.java.html raph.java.html

Traversals Most of the interesting things about graphs are tied up in how the nodes are connected to each other Techniques for walking through graphs: – Depth-first traversal – Breadth-first traversal

Depth-First Traversal (p. 437) Stack-based (recursive) (Example) epthFirstSearch.java.html epthFirstSearch.java.html

Breadth-First Traversal (p. 446) Queue-based (Example) eadthFirstPaths.java.html eadthFirstPaths.java.html