Matrix: Pajek/USpowerGrid
Description: Pajek network: US power grid
(undirected graph drawing) |
Matrix properties | |
number of rows | 4,941 |
number of columns | 4,941 |
nonzeros | 13,188 |
# 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 | P. Tsaparas |
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/. ------------------------------------------------------------------------------ US power grid - unweighted network from Panayiotis Tsaparas: http://www.cs.helsinki.fi/u/tsaparas/MACN2006/data-code.html adapted for Pajek, V. Batagelj, March 19, 2006 0 -> 4941
SVD-based statistics: | |
norm(A) | 7.48305 |
min(svd(A)) | 6.34037e-19 |
cond(A) | 1.18022e+19 |
rank(A) | 4,348 |
null space dimension | 593 |
full numerical rank? | no |
singular value gap | 3.91356e+12 |
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.