Annals of Discrete Mathematics book series

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Threshold Graphs and Related Topics

(Annals of Discrete Mathematics)


By N.V.R. Mahadev, U.N. Peled




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  • Publisher: North Holland
  • Number Of Pages: 558
  • Publication Date: 1995-09-01
  • Binding: Hardcover
Product Description




Threshold graphs have a beautiful structure and possess many important mathematical properties. They have applications in many areas including computer science and psychology. Over the last 20 years the interest in threshold graphs has increased significantly, and the subject continues to attract much attention.
The book contains many open problems and research ideas which will appeal to graduate students and researchers interested in graph theory. But above all Threshold Graphs and Related Topics provides a valuable source of information for all those working in this field.



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Algorithmic Graph Theory and Perfect Graphs

Volume 57, Second Edition: Second Edition
(Annals of Discrete Mathematics)

By Martin Charles Golumbic





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  • Publisher: North Holland




    Number Of Pages: 340




    Publication Date: 2004-02-18

  • Binding: Hardcover

Product Description





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



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Submodular Functions and Optimization
, Volume 58, Second Edition: Second Edition
(Annals of Discrete Mathematics)

By Satoru Fujishige




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  • Publisher: Elsevier Science
  • Number Of Pages: 410
  • Publication Date: 2005-09-29
  • Binding: Hardcover
Product Description

It has widely been recognized that submodular functions play essential roles in efficiently solvable combinatorial optimization problems. Since the publication of the 1st edition of this book fifteen years ago, submodular functions have been showing further increasing importance in optimization, combinatorics, discrete mathematics, algorithmic computer science, and algorithmic economics, and there have been made remarkable developments of theory and algorithms in submodular functions. The 2nd edition of the book supplements the 1st edition with a lot of remarks and with new two chapters: "Submodular Function Minimization" and "Discrete Convex Analysis." The present 2nd edition is still a unique book on submodular functions, which is essential to students and researchers interested in combinatorial optimization, discrete mathematics, and discrete algorithms in the fields of mathematics, operations research, computer science, and economics.


Key features


- Self-contained exposition of the theory of submodular functions.

- Selected up-to-date materials substantial to future developments.

- Polyhedral description of Discrete Convex Analysis.

- Full description of submodular function minimization algorithms.

- Effective insertion of figures.

- Useful in applied mathematics, operations research, computer science, and economics.

- Self-contained exposition of the theory of submodular functions.
- Selected up-to-date materials substantial to future developments.
- Polyhedral description of Discrete Convex Analysis.
- Full description of submodular function minimization algorithms.
- Effective insertion of figures.
- Useful in applied mathematics, operations research, computer science, and economics
.



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