Algorithmic Graph Theory and Perfect Graphs

Nonfiction, Science & Nature, Mathematics, Discrete Mathematics, Computers, General Computing
Cover of the book Algorithmic Graph Theory and Perfect Graphs by Martin Charles Golumbic, Elsevier Science
View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart
Author: Martin Charles Golumbic ISBN: 9780080526966
Publisher: Elsevier Science Publication: February 4, 2004
Imprint: North Holland Language: English
Author: Martin Charles Golumbic
ISBN: 9780080526966
Publisher: Elsevier Science
Publication: February 4, 2004
Imprint: North Holland
Language: English

Algorithmic Graph Theory and Perfect Graphs, first published in 1980, has become the classic introduction to the field. This new Annals edition continues to convey the message that intersection graph models are a necessary and important tool for solving real-world problems. It remains a stepping stone from which the reader may embark on one of many fascinating research trails.

The past twenty years have been an amazingly fruitful period of research in algorithmic graph theory and structured families of graphs. Especially important have been the theory and applications of new intersection graph models such as generalizations of permutation graphs and interval graphs. These have lead to new families of perfect graphs and many algorithmic results. These are surveyed in the new Epilogue chapter in this second edition.

  • New edition of the "Classic" book on the topic
  • Wonderful introduction to a rich research area
  • Leading author in the field of algorithmic graph theory
  • Beautifully written for the new mathematician or computer scientist
  • Comprehensive treatment
View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

Algorithmic Graph Theory and Perfect Graphs, first published in 1980, has become the classic introduction to the field. This new Annals edition continues to convey the message that intersection graph models are a necessary and important tool for solving real-world problems. It remains a stepping stone from which the reader may embark on one of many fascinating research trails.

The past twenty years have been an amazingly fruitful period of research in algorithmic graph theory and structured families of graphs. Especially important have been the theory and applications of new intersection graph models such as generalizations of permutation graphs and interval graphs. These have lead to new families of perfect graphs and many algorithmic results. These are surveyed in the new Epilogue chapter in this second edition.

More books from Elsevier Science

Cover of the book Hidden Semi-Markov Models by Martin Charles Golumbic
Cover of the book Initiation to Global Finslerian Geometry by Martin Charles Golumbic
Cover of the book Chemical Product Design: Towards a Perspective through Case Studies by Martin Charles Golumbic
Cover of the book Veterinary Vaccines and Diagnostics by Martin Charles Golumbic
Cover of the book Integrated and Participatory Water Resources Management - Theory by Martin Charles Golumbic
Cover of the book A Generalized Framework of Linear Multivariable Control by Martin Charles Golumbic
Cover of the book Geometry with Trigonometry by Martin Charles Golumbic
Cover of the book Psychophysiology of the Frontal Lobes by Martin Charles Golumbic
Cover of the book Neurobiology of Abnormal Emotion and Motivated Behaviors by Martin Charles Golumbic
Cover of the book High Performance Textiles and Their Applications by Martin Charles Golumbic
Cover of the book Bioenergetics 2 by Martin Charles Golumbic
Cover of the book Data Virtualization for Business Intelligence Systems by Martin Charles Golumbic
Cover of the book Germanium-Based Technologies by Martin Charles Golumbic
Cover of the book Human Stem Cell Manual by Martin Charles Golumbic
Cover of the book Steamed Breads by Martin Charles Golumbic
We use our own "cookies" and third party cookies to improve services and to see statistical information. By using this website, you agree to our Privacy Policy