Matrix: Pajek/GD06_theory
Description: Pajek network: Graph Drawing contest 2006
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| (undirected graph drawing) |
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| Matrix properties | |
| number of rows | 101 |
| number of columns | 101 |
| nonzeros | 380 |
| # strongly connected comp. | 1 |
| explicit zero entries | 0 |
| nonzero pattern symmetry | symmetric |
| numeric value symmetry | symmetric |
| type | binary |
| structure | symmetric |
| Cholesky candidate? | no |
| positive definite? | no |
| author | Graph Drawing Contest |
| editor | V. Batagelj |
| date | 2006 |
| kind | undirected graph |
| 2D/3D problem? | no |
Notes:
------------------------------------------------------------------------------ Pajek network converted to sparse adjacency matrix for inclusion in UF sparse matrix collection, Tim Davis. For Pajek datasets, See V. Batagelj & A. Mrvar, http://vlado.fmf.uni-lj.si/pub/networks/data/. ------------------------------------------------------------------------------ GD 2006 contest graph A: Theory http://gd2006.org/contest/details.php#theory graph in Pajek format transformed by Vladimir Batagelj, July 10, 2006
| SVD-based statistics: | |
| norm(A) | 6.78233 |
| min(svd(A)) | 4.89431e-48 |
| cond(A) | 1.38576e+48 |
| rank(A) | 20 |
| null space dimension | 81 |
| full numerical rank? | no |
| singular value gap | 5.07594e+14 |
| singular values (MAT file): | click here |
| SVD method used: | s = svd (full (A)) ; |
| status: | ok |

For a description of the statistics displayed above, click here.
Maintained by Tim Davis, last updated 12-Mar-2014.
Matrix pictures by cspy, a MATLAB function in the CSparse package.
Matrix graphs by Yifan Hu, AT&T Labs Visualization Group.