Graph Theory and Sparse Matrix Computation pdf epub mobi txt 電子書下載 2024

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

1993-10

245

$ 111.87

9780387941318

圖書標籤: and Theory Sparse Matrix Graph Computation

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发表于2024-12-23

Graph Theory and Sparse Matrix Computation epub 下載 mobi 下載 pdf 下載 txt 電子書下載 2024

Graph Theory and Sparse Matrix Computation pdf epub mobi txt 電子書下載 2024

圖書描述

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.

Graph Theory and Sparse Matrix Computation 下載 mobi epub pdf txt 電子書