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Introduction to Random Graphs
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Comprehensive primer on random graph theory.
If you're delving into the world of graphs and probability, "Introduction to Random Graphs" acts as your academic springboard. Frieze and Karoński methodically guide you from foundational concepts to intricate applications, providing ample exercises to solidify your understanding. It's a go-to resource for anyone in computer science or mathematics looking to grasp the probabilistic structures governing complex networks.
Note: While we do our best to ensure the accuracy of cover images, ISBNs may at times be reused for different editions of the same title which may hence appear as a different cover.
New
Introduction to Random Graphs
Regular price
Compare to estimated retail price: S$102.46
- Unit price
- / per
The item you've got your eye on is secondhand. You probably already know that, but just in case!
The estimated retail price shown next to any listed item represents the first-hand prices we've seen elsewhere, or the estimated original retail price of a comparable item of the same quality, construction and material offered elsewhere in new condition.
ISBN: 9781107118508
Publisher: Cambridge University Press
Date of Publication: 2016-02-01
Format: Hardcover
Related Collections:
Science
Goodreads rating: 3.0
(rated by 4 readers)
Description
From social networks such as Facebook, the World Wide Web and the Internet, to the complex interactions between proteins in the cells of our bodies, we constantly face the challenge of understanding the structure and development of networks. The theory of random graphs provides a framework for this understanding, and in this book the authors give a gentle introduction to the basic tools for understanding and applying the theory. Part I includes sufficient material, including exercises, for a one semester course at the advanced undergraduate or beginning graduate level. The reader is then well prepared for the more advanced topics in Parts II and III. A final part provides a quick introduction to the background material needed. All those interested in discrete mathematics, computer science or applied probability and their applications will find this an ideal introduction to the subject.
Condition guide
Book Condition Guide
Books in Like New Condition
This book may contain very minor cosmetic defects, but it is in pristine condition. There should be no yellowing, no foxing, no water damage, and no annotations of any kind on the cover and the pages. For paperbacks, there should not be any crease marks on the spine. This book is good as new — lucky you!
*Books may be missing bundle media (e.g. CD, e-book code), if included.
Books in Very Good Condition
This book has been used, but it is still in a clean condition. There should be no foxing or annotations of any kind on the inner pages, but a sparse amount may be present on the cover, title pages, or outside edges of the book. There should be no water damage of any kind. For paperbacks, there may be light crease marks on the spine.
*Books may be missing bundle media (e.g. CD, e-book code), if included.
Books in Good Condition
We do our best to ensure the quality of our books, but there is no escaping the wear and tear that comes with time. Slight foxing and some annotations may be present on the pages and the cover. There should be no water damage of any kind. For paperbacks, there may be several crease marks on the spine.
*Books may be missing bundle media (e.g. CD, e-book code), if included.
Books in Well Read Condition
This is a well-read book, which means that the previous owner probably really enjoyed it! The cover and pages may include moderate foxing and annotations, but the text is not obscured and still readable. Moderate cosmetic defects and minor water damage may be present on the edges of the book. For paperbacks, there may be multiple crease marks on the spine.
*Books may be missing bundle media (e.g. CD, e-book code), if included.
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Comprehensive primer on random graph theory.
If you're delving into the world of graphs and probability, "Introduction to Random Graphs" acts as your academic springboard. Frieze and Karoński methodically guide you from foundational concepts to intricate applications, providing ample exercises to solidify your understanding. It's a go-to resource for anyone in computer science or mathematics looking to grasp the probabilistic structures governing complex networks.
Note: While we do our best to ensure the accuracy of cover images, ISBNs may at times be reused for different editions of the same title which may hence appear as a different cover.
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