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Algebraic Graph Algorithms A Practical Guide Using Python
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Springer

Algebraic Graph Algorithms: A Practical Guide Using Python

$2.00

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Author(s)

K. Erciyes

Publisher

Springer

ISBN-10

3030878856

ISBN-13

978-3030878856

Pages

229

Language

English

Edition

1st ed. 2021 edition | November 18, 2021

File Size

2 MB

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$46

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ISBN: 978-3030878856 SKU: BS1340 Categories: Mathematics, Basic Sciences, Computer Science, Engineering Tags: Algebraic, Algebraic Graph Algorithms, Algorithms, Graph, Mathematics, Python
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Description

Algebraic Graph Algorithms: A Practical Guide Using Python

Algebraic Graph Algorithms: A Practical Guide Using Python (Undergraduate Topics in Computer Science) 1st ed. 2021 Edition:

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.


Additional ISBNs:

∗ Print ISBN: 3030878864, 978-3030878863, 9783030878863

Table of Contents

Contents

1. Introduction
2. Graphs, Matrices and Matroids
3. Parallel Matrix Algorithm Kernel
4. Basic Graph Algorithms
5. Connectivity, Matching and Matroids
6. Subgraph Search
7. Analysis of Large Graphs
8. Clustering in Complex Networks
9. Kronecker Graphs
10. Sample Algorithms for Complex Networks.

About the Author

Kayhan Erciyes

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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