Matrix: Oberwolfach/chipcool1
Description: Oberwolfach: convective thermal flow
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| Matrix properties | |
| number of rows | 20,082 |
| number of columns | 20,082 |
| nonzeros | 281,150 |
| structural full rank? | yes |
| structural rank | 20,082 |
| # of blocks from dmperm | 1 |
| # strongly connected comp. | 1 |
| explicit zero entries | 0 |
| nonzero pattern symmetry | symmetric |
| numeric value symmetry | 9% |
| type | real |
| structure | unsymmetric |
| Cholesky candidate? | no |
| positive definite? | no |
| author | C. Moosmann, A. Griener |
| editor | E. Rudnyi |
| date | 2004 |
| kind | model reduction problem |
| 2D/3D problem? | yes |
| Additional fields | size and type |
| E | sparse 20082-by-20082 |
| B | sparse 20082-by-1 |
| C | sparse 5-by-20082 |
| cname | full 5-by-6 |
Notes:
Primary matrix in this model reduction problem is the Oberwolfach A matrix
| Ordering statistics: | result |
| nnz(chol(P*(A+A'+s*I)*P')) with AMD | 6,111,848 |
| Cholesky flop count | 5.0e+09 |
| nnz(L+U), no partial pivoting, with AMD | 12,203,614 |
| nnz(V) for QR, upper bound nnz(L) for LU, with COLAMD | 8,897,575 |
| nnz(R) for QR, upper bound nnz(U) for LU, with COLAMD | 16,070,062 |
| SVD-based statistics: | |
| norm(A) | 0.314457 |
| min(svd(A)) | 8.85393e-08 |
| cond(A) | 3.55161e+06 |
| rank(A) | 20,082 |
| sprank(A)-rank(A) | 0 |
| null space dimension | 0 |
| full numerical rank? | yes |
| 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.