
Applied Combinatorics
by Alan Tucker
6th Edition
Publisher: Wiley
Book Details
| Print ISBN | 9780470458389 |
| eText ISBN | 9781118324516 |
| Publisher | Wiley |
| Publishing Year | 2012 |
| Edition | 6th Edition |
| Language | English |
| Pages | 496 |
Applied Combinatorics, 6th Edition is an academic textbook focused on the foundational methods of graph theory and enumeration. Authored by Alan Tucker, this volume provides structured instruction designed to build problem-solving skills in discrete mathematics across university curricula.
The text divides its subject matter into two primary analytical domains. The graph theory chapters examine basic elements of graph theory, covering circuits, graph coloring, trees, searching techniques, network algorithms, and graph games. The enumeration chapters present systematic procedures for counting arrangements and selections, generating functions, recurrence relations, inclusion-exclusion principles, and Polya's enumeration formula.
Designed for institutional flexibility, the content fits variable academic schedules including one-quarter, two-quarter, and one-semester course options. The instructional level accommodates a diverse student demographic, serving students ranging from sophomores to beginning graduate students.
Table of Contents
Chapter 1: Elements of Graph Theory
- • 1.1 Graph Models
- • 1.2 Isomorphism
- • 1.3 Edge Counting
- • 1.4 Planar Graphs
- • 1.5 Summary and References
- • Supplementary Exercises
Chapter 2: Covering Circuits and Graph Coloring
- • 2.1 Euler Cycles
- • 2.2 Hamilton Circuits
- • 2.3 Graph Coloring
- • 2.4 Coloring Theorems
- • 2.5 Summary and References
- • Supplement: Graph Model for Instant Insanity
- • Supplement Exercises
Chapter 3: Trees and Searching
- • 3.1 Properties of Trees
- • 3.2 Search Trees and Spanning Trees
- • 3.3 The Traveling Salesperson Problem
- • 3.4 Tree Analysis of Sorting Algorithms
- • 3.5 Summary and References
Chapter 4: Network Algorithms
- • 4.1 Shortest Paths
- • 4.2 Minimum Spanning Trees
- • 4.3 Network Flows
- • 4.4 Algorithmic Matching
- • 4.5 The Transportation Problem
- • 4.6 Summary and References
Chapter 5: General Counting Methods for Arrangements and Selections
- • 5.1 Two Basic Counting Principles
- • 5.2 Simple Arrangements and Selections
- • 5.3 Arrangements and Selections with Repetitions
- • 5.4 Distributions
- • 5.5 Binomial Identities
- • 5.6 Summary and References
- • Supplement: Selected Solutions to Problems in Chapter 5
Chapter 6: Generating Functions
- • 6.1 Generating Function Models
- • 6.2 Calculating Coefficients of Generating Functions
- • 6.3 Partitions
- • 6.4 Exponential Generating Functions
- • 6.5 A Summation Method
- • 6.6 Summary and References
Chapter 7: Recurrence Relations
- • 7.1 Recurrence Relation Models
- • 7.2 Divide-and-Conquer Relations
- • 7.3 Solution of Linear Recurrence Relations
- • 7.4 Solution of Inhomogeneous Recurrence Relations
- • 7.5 Solutions with Generating Functions
- • 7.6 Summary and References
Chapter 8: Inclusion–Exclusion
- • 8.1 Counting with Venn Diagrams
- • 8.2 Inclusion–Exclusion Formula
- • 8.3 Restricted Positions and Rook Polynomials
- • 8.4 Summary and Reference
Chapter 9: Polya’s Enumeration Formula
- • 9.1 Equivalence and Symmetry Groups
- • 9.2 Burnside’s Theorem
- • 9.3 The Cycle Index
- • 9.4 Polya’s Formula
- • 9.5 Summary and References
Chapter 10: Games with Graphs
- • 10.1 Progressively Finite Games
- • 10.2 Nim-Type Games
- • 10.3 Summary and References
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