Matrix: Dziekonski/gsm_106857
Description: High-order vector finite element method in EM
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| Matrix properties | |
| number of rows | 589,446 |
| number of columns | 589,446 |
| nonzeros | 21,758,924 |
| structural full rank? | yes |
| structural rank | 589,446 |
| # of blocks from dmperm | 1 |
| # strongly connected comp. | 1 |
| explicit zero entries | 0 |
| nonzero pattern symmetry | symmetric |
| numeric value symmetry | symmetric |
| type | real |
| structure | symmetric |
| Cholesky candidate? | no |
| positive definite? | no |
| author | A. Dziekonski, A. Lamecki, M. Mrozowski |
| editor | T. Davis |
| date | 2010 |
| kind | electromagnetics problem |
| 2D/3D problem? | yes |
| Additional fields | size and type |
| b | full 589446-by-1 |
Notes:
High order vector finite element method in electromagnetics
The matrices came from analysis of a 9-th order microwave
combline filter with second order (LT\QN) vector finite elements
with different mesh quality. The matrices were used as an
example in our paper [1].
gsm_106857 - real symmetric matrix (589446 x 589446) and
21758924 nonzero elements. First 98577 unknowns corresponds
to lowest level (CT\LN) base functions.
All matrices are sparse and come with right-hand-sides.
[1] GPU Acceleration of Multilevel Solvers for Analysis of
Microwave Components with Finite Element Method, A. Dziekonski,
A. Lamecki, A., and M. Mrozowski, M., IEEE Microwave and
Wireless Components Letters, vol 20, number 12,
Dec 2010. http://dx.doi.org/10.1109/LMWC.2010.2089974
| Ordering statistics: | result |
| nnz(chol(P*(A+A'+s*I)*P')) with AMD | 184,098,449 |
| Cholesky flop count | 1.9e+11 |
| nnz(L+U), no partial pivoting, with AMD | 367,607,452 |
| nnz(V) for QR, upper bound nnz(L) for LU, with COLAMD | 433,129,917 |
| nnz(R) for QR, upper bound nnz(U) for LU, with COLAMD | 1,001,317,649 |
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.