March 2013
Intermediate to advanced
748 pages
21h 42m
English
book
Data Structures and Algorithms in Python
by Michael T. Goodrich, Roberto Tamassia, Michael H. Goldwasser
Content preview from Data Structures and Algorithms in Python
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Chapter 14
Graph Algorithms
Contents
14.2 Data Structures for Graphs
14.2.2 Adjacency List Structure
14.2.3 Adjacency Map Structure
14.2.4 Adjacency Matrix Structure
14.3.2 DFS Implementation and Extensions
14.1 Graphs
A graph is a way of representing relationships that exist between pairs of objects. That is, a graph is a set of objects, called vertices, together with a collection of pairwise connections between them, called edges. Graphs have applications in modeling many domains, including mapping, transportation, computer networks, and electrical engineering. By the way, this notion of a “graph” should not be confused with bar charts and function plots, as these kinds of “graphs” are unrelated to the topic of this chapter.
Viewed abstractly, a graph G is simply a set V of vertices and a collection E of pairs of vertices from V, called edges. Thus, a graph is a way of representing connections or relationships between ...
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I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.