Distributed Graph Algorithms for Computer Networks
Price | $55.20 - $79.99
|
Rating | |
Author | Kayhan Erciyes |
Publisher | Springer |
Published | 2013 |
Pages | 324 |
Language | English |
Format | Paper book / ebook (PDF) |
ISBN-10 | 1447151720 |
ISBN-13 | 9781447151722 |
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.
- Kayhan Erciyes
4 5 2
Similar Books
Calculus for Computer Graphics
by John Vince
Students studying computer animation and computer games have to be familiar with geometry, matrices, vectors, rotation transforms, quaternions, curves and surfaces, and as computer graphics software becomes increasingly sophisticated, calculus is also being used to resolve its associated problems.The author draws upon his experience in te...
Price: $52.55 | Publisher: Springer | Release: 2013
Mathematical Structures for Computer Graphics
by Steven J. Janke
Mathematical Structures for Computer Graphics presents an accessible and intuitive approach to the mathematical ideas and techniques necessary for two- and three-dimensional computer graphics. Focusing on the significant mathematical results, the book establishes key algorithms used to build complex graphics scenes.Written for readers wit...
Price: $72.75 | Publisher: Wiley | Release: 2014
An Introduction to Computer Networks
by Peter L Dordal
An Introduction to Computer Networks, a free and open general-purpose computer-networking free book, complete with diagrams and exercises. It covers the LAN, internetworking and transport layers, focusing primarily on TCP/IP. Particular attention is paid to congestion; other special topics include queuing, real-time traffic, network manag...
Free ebook | Publisher: Self-publishing | Release: 2020
by Larry Peterson, Bruce Davie
Computer Networks: A Systems Approach, Sixth Edition, explores the key principles of computer networking, using real world examples from network and protocol design. Using the Internet as the primary example, this best-selling classic textbook explains various protocols and networking technologies. The systems-oriented approach encourages...
Price: $48.30 | Free ebook | Publisher: Self-publishing | Release: 2019
Practical Machine Learning for Computer Vision
by Valliappa Lakshmanan, Martin Görner, Ryan Gillard
This practical book shows you how to employ machine learning models to extract information from images. ML engineers and data scientists will learn how to solve a variety of image problems including classification, object detection, autoencoders, image generation, counting, and captioning with proven ML techniques. This book provides a gr...
Price: $59.54 | Publisher: O'Reilly Media | Release: 2021
Modern Algorithms for Image Processing
by Vladimir Kovalevsky
Utilize modern methods for digital image processing and take advantage of the many time-saving templates provided for all of the projects in this book.Modern Algorithms for Image Processing approaches the topic of image processing through teaching by example. Throughout the book, you will create projects that resolve typical problems that...
Price: $37.99 | Publisher: Apress | Release: 2019
by Mark Needham, Amy Hodler
Learn how graph algorithms can help you leverage relationships within your data to develop intelligent solutions and enhance your machine learning models. With this practical guide,developers and data scientists will discover how graph analytics deliver value, whether they're used for building dynamic network models or forecasting re...
Price: $45.63 | Free ebook | Publisher: O'Reilly Media | Release: 2019
Data Science Algorithms in a Week, 2nd Edition
by David Natingga
Machine learning applications are highly automated and self-modifying, and continue to improve over time with minimal human intervention, as they learn from the trained data. To address the complex nature of various real-world data problems, specialized machine learning algorithms have been developed. Through algorithmic and statistical a...
Price: $39.99 | Publisher: Packt Publishing | Release: 2018