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

Graph Theory and Sparse Matrix Computation
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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.

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

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

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

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


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出版者:
作者:George, Alan; Gilbert, John R.; Liu, Joseph W. H.
出品人:
頁數:245
譯者:
出版時間:1993-10
價格:$ 111.87
裝幀:
isbn號碼:9780387941318
叢書系列:

圖書標籤: and  Theory  Sparse  Matrix  Graph  Computation   

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

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