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erciyes k algebraic graph algorithms guide using python 2021

Type:: E-books
Files:: 1
Size:: 3.1 MB
Uploaded On:: Nov. 18, 2021, 12:39 p.m.
Added By:: andryold1
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Info Hash:: 9BD131BEE67CB3DA86E69E3D611D8BEED49451C1

Textbook in PDF format 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. Introduction Background A Short Review of Python Basic Matrix Computations Graphs, Matrices and Matroids Parallel and Sparse Matrix Computations Graph Algorithms Trees Shortest Paths Connectivity and Matching Subgraph Search Large Graph Analysis Graph Partitioning and Clustering

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Erciyes K. Algebraic Graph Algorithms...Guide Using Python 2021.pdf 3.1 MB

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erciyes k algebraic graph algorithms guide using python 2021

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