Algebraic Graph Algorithms: A Practical Guide Using Python


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Description

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.



Author: K. Erciyes
Publisher: Springer
Published: 11/18/2021
Pages: 221
Binding Type: Paperback
Weight: 0.74lbs
Size: 9.21h x 6.14w x 0.50d
ISBN13: 9783030878856
ISBN10: 3030878856
BISAC Categories:
- Computers | Programming | Algorithms
- Computers | Data Science | General
- Mathematics | Applied

About the Author
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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