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Sahni
Data Structures, Algorithms and Applications in C++, 2nd ed.
: Chapter 16 Graphs

graph data structure

terminology:
vertex, edge, adjacent, incident, degree, cycle, path, connected component, and spanning tree

types:
undirected / directed / weighted

representation:
adjacent matrix / array adjacency lists /  linked adjacency lists

standard graph search methods:
breadth-first / depth-first search

algorithms:



16.1 Definitions

graph
: an ordered pair of finite sets of vertices (or nodes or points) and edges (or arcs or lines)

http://en.wikipedia.org/wiki/Graph_(data_structure)

loop
: self-edge

digraph
: directed graph

network
: weighted undirected graph or digraph


16.2 Applications and More Definitions

example 16.1: path problems

example 16.2: spanning trees

A graph is connected iff there is a path between every pair of vertices in the graph.

cycle
: simiple path with the same start and end vertex

tree
: a connected undirected graph that contains no cycles

spanning tree
: a subgraph of a graph that contains all the vertices of the graph and is a tree

example 16.3: interpreters

bipartite graphs


16.3 Properties

http://en.wikipedia.org/wiki/List_of_graph_theory_topics

in-degree
out-degree

complete digraph


16.4 The ADT graph
16.5 Representation of Unweighted Graphs

adjacency matrix
linked adjacency list
array adjacency list

http://en.wikipedia.org/wiki/Adjacency_matrix

http://en.wikipedia.org/wiki/Adjacency_list
16.6 Representation of Weighted Graphs


cost-adjacency-matrix


16.7 Class Implementations

 
16.8 Graph Search Methods

cp. level-order traversal of a binary tree
http://en.wikipedia.org/wiki/Binary_search_tree#Traversal

cp. pre-order traversal of a binary tree
 
 


 
posted by maetel