<p>This book presents a comprehensive review of key distributed graph algorithms for computer network applications, with a particular emphasis on practical implementation. Topics and features: introduces a range of fundamental graph algorithms, covering spanning trees, graph traversal algorithms, ro
Distributed Graph Algorithms for Computer Networks
โ Scribed by Kayhan Erciyes
- Publisher
- Springer
- Year
- 2013
- Tongue
- English
- Leaves
- 328
- Category
- Library
No coin nor oath required. For personal study only.
โฆ Synopsis
This hands-on textbook/reference presents a comprehensive review of key distributed graph algorithms for computer network applications, with a particular emphasis on practical implementation. Each chapter opens with a concise introduction to a specific problem, supporting the theory with numerous examples, before providing a list of relevant algorithms. These algorithms are described in detail from conceptual basis to pseudocode, complete with graph templates for the stepwise implementation of the algorithm, followed by its analysis.
๐ SIMILAR VOLUMES
Graph theory is an invaluable tool for the designer of algorithms for distributed systems. This hands-on textbook/reference presents a comprehensive review of key distributed graph algorithms for computer network applications, with a particular emphasis on practical implementation. Each chapter open
Graph theory is an invaluable tool for the designer of algorithms for distributed systems. This hands-on textbook/reference presents a comprehensive review of key distributed graph algorithms for computer network applications, with a particular emphasis on practical implementation. Each chapter open
Introduction -- Part I: Fundamental Algorithms -- Graphs -- The Computational Model -- Spanning Tree Construction -- Graph Traversals -- Minimal Spanning Trees -- Routing -- Self-Stabilization -- Part II: Graph Theoretical Algorithms -- Vertex Coloring -- Maximal Independent Sets -- Dominating Sets
This is the definitive guide to graph algorithms. Every algorithm is well documented with proofs and complexity estimates. A general knowledge of graph theory is presupposed. This is a very good thing, since then neither paper or time needs to be vasted on elementaries. There are heaps of introd
This is the definitive guide to graph algorithms. Every algorithm is well documented with proofs and complexity estimates. A general knowledge of graph theory is presupposed. This is a very good thing, since then neither paper or time needs to be vasted on elementaries. There are heaps of introd