Matrix: Janna/Transport
Description: 3D finite element flow and transport
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| Matrix properties | |
| number of rows | 1,602,111 |
| number of columns | 1,602,111 |
| nonzeros | 23,487,281 |
| structural full rank? | yes |
| structural rank | 1,602,111 |
| # of blocks from dmperm | 962 |
| # strongly connected comp. | 962 |
| explicit zero entries | 13,450 |
| nonzero pattern symmetry | symmetric |
| numeric value symmetry | 0% |
| type | real |
| structure | unsymmetric |
| Cholesky candidate? | no |
| positive definite? | no |
| author | C. Janna, M. Ferronato, G. Pini |
| editor | T. Davis |
| date | 2012 |
| kind | structural problem |
| 2D/3D problem? | yes |
Notes:
Authors: Carlo Janna, Massimiliano Ferronato, Giorgio Pini
Matrix type: Unsymmetric
# equations: 1,602,111
# non-zeroes: 23,500,731
Problem description: 3D Finite Element flow and transport
The matrix Transport has been obtained by a FE tetrahedral
discretization of a density driven coupled flow and transport.
Further information can be found in the following papers:
1) A. Mazzia, and M. Putti. High order Godunov mixed methods on
tetrahedral meshes for density driven flow simulations in porous
media. Journal of Computational Physics 208 (2005), pp. 154-174.
2) M. Ferronato, C. Janna and G. Pini. A generalized Block FSAI
preconditioner for unsymmetric indefinite matrices. Journal of
Computational and Applied Mathematics (2012), submitted.
| Ordering statistics: | result |
| nnz(chol(P*(A+A'+s*I)*P')) with AMD | 3,105,250,223 |
| Cholesky flop count | 3.6e+13 |
| nnz(L+U), no partial pivoting, with AMD | 6,208,898,335 |
| nnz(V) for QR, upper bound nnz(L) for LU, with COLAMD | 5,082,701,296 |
| nnz(R) for QR, upper bound nnz(U) for LU, with COLAMD | 9,218,957,849 |
Note that all matrix statistics (except nonzero pattern symmetry) exclude the 13450 explicit zero entries.
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.