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Item Details
| Title:
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PATH PROBLEMS IN NETWORKS
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| By: |
John Baras, George Theodorakopoulos, Jean Walrand |
| Format: |
Paperback |
| List price:
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£35.95 |
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We currently do not stock this item, please contact the publisher directly for
further information.
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| ISBN 10: |
1598299239 |
| ISBN 13: |
9781598299236 |
| Publisher: |
MORGAN & CLAYPOOL PUBLISHERS |
| Pub. date: |
2 February, 2010 |
| Series: |
Synthesis Lectures on Communication Networks |
| Pages: |
77 |
| Synopsis: |
The algebraic path problem is a generalization of the shortest path problem in graphs. Various instances of this abstract problem have appeared in the literature, and similar solutions have been independently discovered and rediscovered. The repeated appearance of a problem is evidence of its relevance. This book aims to help current and future researchers add this powerful tool to their arsenal, so that they can easily identify and use it in their own work. Path problems in networks can be conceptually divided into two parts: A distillation of the extensive theory behind the algebraic path problem, and an exposition of a broad range of applications. First of all, the shortest path problem is presented so as to fix terminology and concepts: existence and uniqueness of solutions, robustness to parameter changes, and centralized and distributed computation algorithms. Then, these concepts are generalized to the algebraic context of semirings. Methods for creating new semirings, useful for modeling new problems, are provided.A large part of the book is then devoted to numerous applications of the algebraic path problem, ranging from mobile network routing to BGP routing to social networks. These applications show what kind of problems can be modeled as algebraic path problems; they also serve as examples on how to go about modeling new problems. This monograph will be useful to network researchers, engineers, and graduate students. It can be used either as an introduction to the topic, or as a quick reference to the theoretical facts, algorithms, and application examples. The theoretical background assumed for the reader is that of a graduate or advanced undergraduate student in computer science or engineering. Some familiarity with algebra and algorithms is helpful, but not necessary. Algebra, in particular, is used as a convenient and concise language to describe problems that are essentially combinatorial. |
| Illustrations: |
black & white illustrations |
| Publication: |
US |
| Imprint: |
Morgan & Claypool Publishers |
| Returns: |
Non-returnable |
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