Matrix: Mazaheri/bundle_adj
Description: sparse bundle adjustment problem, Univ Calgary
(undirected graph drawing) |
Matrix properties | |
number of rows | 513,351 |
number of columns | 513,351 |
nonzeros | 20,207,907 |
structural full rank? | yes |
structural rank | 513,351 |
# of blocks from dmperm | 46 |
# strongly connected comp. | 46 |
explicit zero entries | 144 |
nonzero pattern symmetry | symmetric |
numeric value symmetry | symmetric |
type | real |
structure | symmetric |
Cholesky candidate? | yes |
positive definite? | yes |
author | M. Mazaheri |
editor | T. Davis |
date | 2015 |
kind | computer vision problem |
2D/3D problem? | yes |
Additional fields | size and type |
b | full 513351-by-1 |
Notes:
Sparse bundle adjustment problem from Mehdi Mazaheri, University of Calgary A is symmetric positive definite, coming from bundle adjustment of 1700 images to optimize the trajectory of a multi-camera data acqusition system. The trajectory is a loop inside a building at the University of Calgary. Mehdi Mazaheri Dept of Geomatics, University of Calgary
Ordering statistics: | result |
nnz(chol(P*(A+A'+s*I)*P')) with AMD | 10,659,339 |
Cholesky flop count | 3.7e+08 |
nnz(L+U), no partial pivoting, with AMD | 20,805,327 |
nnz(V) for QR, upper bound nnz(L) for LU, with COLAMD | 1,732,207,548 |
nnz(R) for QR, upper bound nnz(U) for LU, with COLAMD | 2,681,108,649 |
Note that all matrix statistics (except nonzero pattern symmetry) exclude the 144 explicit zero entries.
For a description of the statistics displayed above, click here.
Maintained by Tim Davis, last updated 04-Jun-2015.
Matrix pictures by cspy, a MATLAB function in the CSparse package.
Matrix graphs by Yifan Hu, AT&T Labs Visualization Group.