Algebraic Graph Algorithms: A Practical Guide Using Python

Author:   K. Erciyes
Publisher:   Springer Nature Switzerland AG
Edition:   1st ed. 2021
ISBN:  

9783030878856


Pages:   221
Publication Date:   18 November 2021
Format:   Paperback
Availability:   Manufactured on demand   Availability explained
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Algebraic Graph Algorithms: A Practical Guide Using Python


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Overview

This textbook discusses the design and implementation of basic algebraic graph algorithms, and algebraic graph algorithms for complex networks, employing matroids whenever possible. The text describes the design of a simple parallel matrix algorithm kernel that can be used for parallel processing of algebraic graph algorithms. Example code is presented in pseudocode, together with case studies in Python and MPI. The text assumes readers have a background in graph theory and/or graph algorithms.

Full Product Details

Author:   K. Erciyes
Publisher:   Springer Nature Switzerland AG
Imprint:   Springer Nature Switzerland AG
Edition:   1st ed. 2021
Weight:   0.367kg
ISBN:  

9783030878856


ISBN 10:   3030878856
Pages:   221
Publication Date:   18 November 2021
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   Manufactured on demand   Availability explained
We will order this item for you from a manufactured on demand supplier.

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Reviews

The master's course 'Algorithms on graphs and networks' has become almost mandatory at most universities in the computer science department. The refereed manual may be the basis of such a course, including both lectures and practical training. (I. M. Erusalimskiy, zbMATH 1487.05001, 2022)


Author Information

Dr. Kayhan Erciyes is a full Professor in the Department of Software Engineering at Maltepe University, Istanbul, Turkey. His other publications include the Springer titles Discrete Mathematics and Graph Theory, Distributed Real-Time Systems, Guide to Graph Algorithms, Distributed and Sequential Algorithms for Bioinformatics, and Distributed Graph Algorithms for Computer Networks.

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