Matrix: Janna/ML_Laplace
Description: 2D Poisson problem, meshless local Petrov-Galerkin method
![]() |
| (undirected graph drawing) |
![]() |
![]() |
| Matrix properties | |
| number of rows | 377,002 |
| number of columns | 377,002 |
| nonzeros | 27,582,698 |
| structural full rank? | yes |
| structural rank | 377,002 |
| # of blocks from dmperm | 2,503 |
| # strongly connected comp. | 2,503 |
| explicit zero entries | 107,274 |
| 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: 377,002
# non-zeroes: 27,689,972
Problem description: Poisson problem
The matrix ML_Laplace has been obtained by discretizing a 2D
Poisson equation with a Meshless Local Petrov-Galerkin method.
Further information can be found in the following papers:
1) G. Pini, A. Mazzia, and F. Sartoretto. Accurate MLPG solution
of 3D potential problems. CMES - Computer Modeling in Engineering
& Sciences 36 (2008), pp. 43-64.
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 | 284,522,480 |
| Cholesky flop count | 5.0e+11 |
| nnz(L+U), no partial pivoting, with AMD | 568,667,958 |
| nnz(V) for QR, upper bound nnz(L) for LU, with COLAMD | 455,980,664 |
| nnz(R) for QR, upper bound nnz(U) for LU, with COLAMD | 899,086,831 |
Note that all matrix statistics (except nonzero pattern symmetry) exclude the 107274 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.