Matrix: Pajek/GD96_c
Description: Pajek network: Graph Drawing contest 1996
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| (undirected graph drawing) |
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| Matrix properties | |
| number of rows | 65 |
| number of columns | 65 |
| nonzeros | 250 |
| # 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 | 1996 |
| kind | undirected graph |
| 2D/3D problem? | no |
| Additional fields | size and type |
| nodename | full 65-by-1 |
| coord | full 65-by-2 |
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/. ------------------------------------------------------------------------------ The original problem had 3D xyz coordinates, but all values of z were equal to 0, and have been removed. This graph has 2D coordinates.
| SVD-based statistics: | |
| norm(A) | 4.14108 |
| min(svd(A)) | 2.28069e-16 |
| cond(A) | 1.81572e+16 |
| rank(A) | 63 |
| null space dimension | 2 |
| full numerical rank? | no |
| singular value gap | 2.97374e+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.