Matrix: Pereyra/landmark
Description: Matrix from Victor Pereyra, Stanford University
(bipartite graph drawing) |
Matrix properties | |
number of rows | 71,952 |
number of columns | 2,704 |
nonzeros | 1,146,848 |
structural full rank? | no |
structural rank | 2,673 |
# of blocks from dmperm | 5 |
# strongly connected comp. | 32 |
explicit zero entries | 4,384 |
nonzero pattern symmetry | 0% |
numeric value symmetry | 0% |
type | real |
structure | rectangular |
Cholesky candidate? | no |
positive definite? | no |
author | V. Pereyra |
editor | T. Davis |
date | 2003 |
kind | least squares problem |
2D/3D problem? | no |
Ordering statistics: | result |
nnz(V) for QR, upper bound nnz(L) for LU, with COLAMD | 119,169,475 |
nnz(R) for QR, upper bound nnz(U) for LU, with COLAMD | 1,544,068 |
Note that all matrix statistics (except nonzero pattern symmetry) exclude the 4384 explicit zero entries.
SVD-based statistics: | |
norm(A) | 5.68648 |
min(svd(A)) | 0 |
cond(A) | Inf |
rank(A) | 2,671 |
sprank(A)-rank(A) | 2 |
null space dimension | 33 |
full numerical rank? | no |
singular value gap | 1634.09 |
singular values (MAT file): | click here |
SVD method used: | s = svd (full (R)) ; where [~,R,E] = spqr (A) with droptol of zero |
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.