Matrix properties
number of rows	33
number of columns	33
nonzeros	135
# strongly connected comp.	33
explicit zero entries	0
nonzero pattern symmetry	0%
numeric value symmetry	0%
type	integer
structure	unsymmetric
Cholesky candidate?	no
positive definite?	no

author	Graph Drawing Contest
editor	V. Batagelj
date	2001
kind	directed multigraph
2D/3D problem?	no

Additional fields	size and type
partition	full 33-by-1
nodename	full 33-by-4
coord	full 33-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 0.5, and have been removed.  This graph has 2D coordinates.                

SVD-based statistics:
norm(A)	8.11727
min(svd(A))	0
cond(A)	Inf
rank(A)	25
null space dimension	8
full numerical rank?	no
singular value gap	3.31863e+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.