Matrix: Oberwolfach/LFAT5000
Description: Oberwolfach: linear 1D beam
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| Matrix properties | |
| number of rows | 19,994 |
| number of columns | 19,994 |
| nonzeros | 79,966 |
| structural full rank? | yes |
| structural rank | 19,994 |
| # of blocks from dmperm | 3 |
| # strongly connected comp. | 3 |
| explicit zero entries | 0 |
| nonzero pattern symmetry | symmetric |
| numeric value symmetry | symmetric |
| type | real |
| structure | symmetric |
| Cholesky candidate? | yes |
| positive definite? | yes |
| author | J. Lienemann, A. Greiner, J. Korvink |
| editor | E. Rudnyi |
| date | 2004 |
| kind | model reduction problem |
| 2D/3D problem? | yes |
| Additional fields | size and type |
| M | sparse 19994-by-19994 |
| E | sparse 19994-by-19994 |
| B | sparse 19994-by-1 |
| C | sparse 1-by-19994 |
Notes:
Primary matrix in this model reduction problem is the Oberwolfach K matrix
| Ordering statistics: | result |
| nnz(chol(P*(A+A'+s*I)*P')) with AMD | 54,978 |
| Cholesky flop count | 1.6e+05 |
| nnz(L+U), no partial pivoting, with AMD | 89,962 |
| nnz(V) for QR, upper bound nnz(L) for LU, with COLAMD | 54,978 |
| nnz(R) for QR, upper bound nnz(U) for LU, with COLAMD | 84,958 |
| SVD-based statistics: | |
| norm(A) | 5.88727e+13 |
| min(svd(A)) | 0.000114704 |
| cond(A) | 5.13256e+17 |
| rank(A) | 18,047 |
| sprank(A)-rank(A) | 1,947 |
| null space dimension | 1,947 |
| full numerical rank? | no |
| singular value gap | 1.0006 |
| 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.