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Graphs and Homomorphisms
Contributor(s): Hell, Pavol (Author), Nesetril, Jaroslav (Author)
ISBN: 0198528175     ISBN-13: 9780198528173
Publisher: Oxford University Press, USA
OUR PRICE:   $161.50  
Product Type: Hardcover - Other Formats
Published: September 2004
Qty:
Annotation: This is a book about graph homomorphisms. Graph theory is now an established discipline but the study of graph homomorphisms has only recently begun to gain wide acceptance and interest. The subject gives a useful perspective in areas such as graph reconstruction, products, fractional and
circular colorings, and has applications in complexity theory, artificial intelligence, telecommunication, and, most recently, statistical physics.
Based on the authors' lecture notes for graduate courses, this book can be used as a textbook for a second course in graph theory at 4th year or master's level and has been used for courses at Simon Fraser University (Vancouver), Charles University (Prague), ETH (Zurich), and UFRJ (Rio de Janeiro).
The exercises vary in difficulty. The first few are usually intended to give the reader an opportunity to practice the concepts introduced in the chapter; the later ones explore related concepts, or even introduce new ones. For the harder exercises hints and references are provided.
The authors are well known for their research in this area and the book will be invaluable to graduate students and researchers alike.
Additional Information
BISAC Categories:
- Mathematics | Graphic Methods
Dewey: 511.5
LCCN: 2004533593
Series: Oxford Lecture Series in Mathematics and Its Applications
Physical Information: 0.73" H x 6.34" W x 9.6" (1.24 lbs) 260 pages
 
Descriptions, Reviews, Etc.
Publisher Description:
This is a book about graph homomorphisms. Graph theory is now an established discipline but the study of graph homomorphisms has only recently begun to gain wide acceptance and interest. The subject gives a useful perspective in areas such as graph reconstruction, products, fractional and
circular colorings, and has applications in complexity theory, artificial intelligence, telecommunication, and, most recently, statistical physics.

Based on the authors' lecture notes for graduate courses, this book can be used as a textbook for a second course in graph theory at 4th year or master's level and has been used for courses at Simon Fraser University (Vancouver), Charles University (Prague), ETH (Zurich), and UFRJ (Rio de Janeiro).

The exercises vary in difficulty. The first few are usually intended to give the reader an opportunity to practice the concepts introduced in the chapter; the later ones explore related concepts, or even introduce new ones. For the harder exercises hints and references are provided.

The authors are well known for their research in this area and the book will be invaluable to graduate students and researchers alike.