Algorithmic graph theory and perfect graphs / / Martin Charles Golumbic

• Autore: Golumbic Martin Charles
• Pubblicazione: New York, New York ; ; London, England : , : Academic Press, , 1980; ©1980
• Descrizione fisica: 1 online resource (307 p.)
• Disciplina: 511/.5
• Soggetto topico: Perfect graphs
• Note generali: Description based upon print version of record.
• Nota di bibliografia: Includes bibliographical references at the end of each chapters and index.
• Nota di contenuto: 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
• Sommario/riassunto: Algorithmic Graph Theory and Perfect Graphs
• Titolo autorizzato: Algorithmic graph theory and perfect graphs
• ISBN: 1-4832-7197-8
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Lingua di pubblicazione: Inglese
• Record Nr.: 9910811710303321
• Lo trovi qui: Univ. Federico II
• Serie: Computer science and applied mathematics.