This book looks at graph theory as it connects to linear algebra, parallel computing, data structures, geometry, and both numerical and discrete 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 analysis and theoretical computer scientists alike.
| ISBN: | 9781461383710 |
| Publication date: | 24th October 2011 |
| Author: | Alan George, John R Gilbert, Joseph WH Liu |
| Publisher: | Springer an imprint of Springer New York |
| Format: | Paperback |
| Pagination: | 245 pages |
| Series: | The IMA Volumes in Mathematics and Its Applications |
| Genres: |
Discrete mathematics Numerical analysis |
This book looks at graph theory as it connects to linear algebra, parallel computing, data structures, geometry, and both numerical and discrete 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 analysis and theoretical computer scientists alike.
Graph Theory and Sparse Matrix Computation features in the following genres: Discrete mathematics, Numerical analysis
Paperback. Not Available.
Graph Theory and Sparse Matrix Computation was written by Alan George, John R Gilbert, Joseph WH Liu and published by Springer an imprint of Springer New York
Graph Theory and Sparse Matrix Computation has 245 pages
Yes it is part of The IMA Volumes in Mathematics and Its Applications series