Algorithms on Trees and Graphs: With Python Code (Texts in Computer Science)

Preface to the Second Edition
Preface to the First Edition
	References
Contents
blackPart I Introduction-1pt
1 Introduction
	1.1 Trees and Graphs
	1.2 Basic Data Structures
	1.3 Representation of Trees and Graphs
2 Algorithmic Techniques
	2.1 The Tree Edit Distance Problem
	2.2 Backtracking
	2.3 Branch-and-Bound
	2.4 Divide-and-Conquer
	2.5 Dynamic Programming
blackPart II Algorithms on Trees-1pt
3 Tree Traversal
	3.1 Preorder Traversal of a Tree
	3.2 Postorder Traversal of a Tree
	3.3 Top-Down Traversal of a Tree
	3.4 Bottom-Up Traversal of a Tree
	3.5 Applications
4 Tree Isomorphism
	4.1 Tree Isomorphism
		4.1.1 Ordered Tree Isomorphism
		4.1.2 Unordered Tree Isomorphism
	4.2 Subtree Isomorphism
		4.2.1 Top-Down Subtree Isomorphism
		4.2.2 Top-Down Unordered Subtree Isomorphism
		4.2.3 Bottom-Up Subtree Isomorphism
		4.2.4 Bottom-Up Unordered Subtree Isomorphism
	4.3 Maximum Common Subtree Isomorphism
		4.3.1 Top-Down Maximum Common Subtree Isomorphism
		4.3.2 Top-Down Unordered Maximum Common Subtree Isomorphism
		4.3.3 Bottom-Up Maximum Common Subtree Isomorphism
		4.3.4 Bottom-Up Unordered Maximum Common Subtree Isomorphism
	4.4 Applications
blackPart III Algorithms on Graphs-1pt
5 Graph Traversal
	5.1 Depth-First Traversal of a Graph
		5.1.1 Leftmost Depth-First Traversal of a Graph
	5.2 Breadth-First Traversal of a Graph
	5.3 Applications
6 Clique, Independent Set, and Vertex Cover
	6.1 Cliques, Maximal Cliques, and Maximum Cliques
	6.2 Maximal and Maximum Independent Sets
	6.3 Minimal and Minimum Vertex Covers
	6.4 Applications
7 Graph Isomorphism
	7.1 Graph Isomorphism
		7.1.1 An Algorithm for Graph Isomorphism
	7.2 Graph Automorphism
	7.3 Subgraph Isomorphism
		7.3.1 An Algorithm for Subgraph Isomorphism
	7.4 Maximal Common Subgraph Isomorphism
		7.4.1 An Algorithm for Maximal Common Subgraph Isomorphism
	7.5 Applications
A Implementation of the Algorithms  in Python
	A.1  Introduction
		A.1.1  Basic Data Structures
		A.1.2  Representation of Trees and Graphs
	A.2  Algorithmic Techniques
		A.2.1  The Tree Edit Distance Problem
		A.2.2  Backtracking
		A.2.3  Branch-and-Bound
		A.2.4  Divide-and-Conquer
		A.2.5  Dynamic Programming
	A.3  Tree Traversal
		A.3.1  Preorder Traversal of a Tree
		A.3.2  Postorder Traversal of a Tree
		A.3.3  Top-Down Traversal of a Tree
		A.3.4  Bottom-Up Traversal of a Tree
		A.3.5  Applications
	A.4  Tree Isomorphism
		A.4.1  Tree Isomorphism
		A.4.2  Subtree Isomorphism
		A.4.3  Maximum Common Subtree Isomorphism
	A.5  Graph Traversal
		A.5.1  Depth-First Traversal of a Graph
		A.5.2  Breadth-First Traversal of a Graph
		A.5.3  Applications
	A.6  Clique, Independent Set, and Vertex Cover
		A.6.1  Cliques, Maximal Cliques, and Maximum Cliques
		A.6.2  Maximal and Maximum Independent Sets
		A.6.3  Minimal and Minimum Vertex Covers
	A.7  Graph Isomorphism
		A.7.1  Graph Isomorphism
		A.7.2  Graph Automorphism
		A.7.3  Subgraph Isomorphism
		A.7.4  Maximal Common Subgraph Isomorphism
B Solutions to All Problems
	B.1  Introduction
	B.2  Algorithmic Techniques
	B.3  Tree Traversal
	B.4  Tree Isomorphism
	B.5  Graph Traversal
	B.6  Clique, Independent Set, and Vertex Cover
	B.7  Graph Isomorphism
C Citing Publications
Index