Graph Theory and Sparse Matrix Computation is popular PDF and ePub book, written by Alan George in 2012-12-06, it is a fantastic choice for those who relish reading online the Mathematics genre. Let's immerse ourselves in this engaging Mathematics book by exploring the summary and details provided below. Remember, Graph Theory and Sparse Matrix Computation can be Read Online from any device for your convenience.
Graph Theory and Sparse Matrix Computation Book PDF Summary
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.
Detail Book of Graph Theory and Sparse Matrix Computation PDF
- Author : Alan George
- Release : 06 December 2012
- Publisher : Springer Science & Business Media
- ISBN : 9781461383697
- Genre : Mathematics
- Total Page : 254 pages
- Language : English
- PDF File Size : 21,8 Mb
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