Algorithmic graph theory and perfect graphs / Martin Charles Golumbic.

Format:

Book

Author/Creator:

Golumbic, Martin Charles, author.

Series:

Computer science and applied mathematics.

Computer Science and Applied Mathematics

Language:

English

Subjects (All):

Perfect graphs.

Physical Description:

1 online resource (307 p.)

Place of Publication:

New York, New York ; London, England : Academic Press, 1980.

Language Note:

English

Summary:

Algorithmic Graph Theory and Perfect Graphs

Contents:

Front Cover; Algorithmic Graph Theory and Perfect Graphs; Copyright Page; Dedication; Table of Contents; Foreword; Preface; Acknowledgments; List of Symbols; Chapter 1. Graph Theoretic Foundations ; 1. Basic Definitions and Notations; 2. Intersection Graphs; 3. Interval Graphs-A Sneak Preview of the Notions Coming Up; 4. Summary; Exercises; Bibliography; Chapter 2. The Design of Efficient Algorithms; 1. The Complexity of Computer Algorithms; 2. Data Structures; 3. How to Explore a Graph; 4. Transitive Tournaments and Topological Sorting; Exercises; Bibliography; Chapter 3. Perfect Graphs

1. The Star of the Show2. The Perfect Graph Theorem; 3. p-Critical and Partitionable Graphs; 4. A Polyhedral Characterization of Perfect Graphs; 5. A Polyhedral Characterization of p-Critical Graphs; 6. The Strong Perfect Graph Conjecture; Exercises; Bibliography; Chapter 4. Triangulated Graphs; 1. Introduction; 2. Characterizing Triangulated Graphs; 3. Recognizing Triangulated Graphs by Lexicographic Breadth-First Search; 4. The Complexity of Recognizing Triangulated Graphs; 5. Triangulated Graphs as Intersection Graphs; 6. Triangulated Graphs Are Perfect

7. Fast Algorithms for the COLORING, CLIQUE, STABLE SET, and CLIQUE-COVER Problems on Triangulated GraphsExercises; Bibliography; Chapter 5. Comparability Graphs; 1. Γ-Chains and Implication Classes; 2. Uniquely Partially Orderable Graphs; 3. The Number of Transitive Orientations; 4. Schemes and G-Decompositions-An Algorithm for Assigning Transitive Orientations; 5. The Γ*-Matroid of a Graph; 6. The Complexity of Comparability Graph Recognition; 7. Coloring and Other Problems on Comparability Graphs; 8. The Dimension of Partial Orders; Exercises; Bibliography; Chapter 6. Split Graphs

1. An Introduction to Chapters 6-8: Interval, Permutation, and Split Graphs2. Characterizing Split Graphs; 3. Degree Sequences and Split Graphs; Exercises; Bibliography; Chapter 7. Permutation Graphs; 1. Introduction; 2. Characterizing Permutation Graphs; 3. Permutation Labelings; 4. Applications; 5. Sorting a Permutation Using Queues in Parallel; Exercises; Bibliography; Chapter 8. Interval Graphs; 1. How It All Started; 2. Some Characterizations of Interval Graphs; 3. The Complexity of Consecutive 1's Testing; 4. Applications of Interval Graphs; 5. Preference and Indifference

6. Circular-Arc GraphsExercises; Bibliography; Chapter 9. Superperfect Graphs; 1. Coloring Weighted Graphs; 2. Superperfection; 3. An Infinite Class of Superperfect Noncomparability Graphs; 4. When Does Superperfect Equal Comparability?; 5. Composition of Superperfect Graphs; 6. A Representation Using the Consecutive 1's Property; Exercises; Bibliography; Chapter 10. Threshold Graphs; 1. The Threshold Dimension; 2. Degree Partition of Threshold Graphs; 3. A Characterization Using Permutations; 4. An Application to Synchronizing Parallel Processes; Exercises; Bibliography

Chapter 11. Not So Perfect Graphs

Notes:

Description based upon print version of record.

Includes bibliographical references at the end of each chapters and index.

Description based on print version record.

ISBN:

1-4832-7197-8