Graph Theory and Sparse Matrix Computation 在线电子书 pdf 下载 txt下载 epub 下载 mobi 下载 2024

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George, Alan; Gilbert, John R.; Liu, Joseph W. H. 作者

译者

1993-10 出版日期

245 页数

$ 111.87 价格

丛书系列

9780387941318 图书编码

Graph Theory and Sparse Matrix Computation 在线电子书图书标签: and Theory Sparse Matrix Graph Computation

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Graph Theory and Sparse Matrix Computation 在线电子书 epub 下载 mobi 下载 pdf 下载 txt 下载 2024

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When reality is modeled by computation, matrices are often the connection between the continuous physical world and the finite algorithmic one. Usually, the more detailed the model, the bigger the matrix, the better the answer, however, efficiency demands that every possible advantage be exploited. The articles in this volume are based on recent research on sparse matrix computations. This volume looks at graph theory as it connects to linear algebra, parallel computing, data structures, geometry, and both numerical and discrete algorithms. The articles are grouped into three general categories: graph models of symmetric matrices and factorizations, graph models of algorithms on nonsymmetric matrices, and parallel sparse matrix algorithms. This book will be a resource for the researcher or advanced student of either graphs or sparse matrices; it will be useful to mathematicians, numerical analysts and theoretical computer scientists alike.

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