Matrix: Muite/Chebyshev2
Description: Integration matrix, Chebyshev method, 4th order semilinear initial BVP
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| (bipartite graph drawing) | (graph drawing of A+A') |
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| Matrix properties | |
| number of rows | 2,053 |
| number of columns | 2,053 |
| nonzeros | 18,447 |
| structural full rank? | yes |
| structural rank | 2,053 |
| # of blocks from dmperm | 1 |
| # strongly connected comp. | 1 |
| explicit zero entries | 0 |
| nonzero pattern symmetry | 50% |
| numeric value symmetry | 0% |
| type | real |
| structure | unsymmetric |
| Cholesky candidate? | no |
| positive definite? | no |
| author | B. Muite |
| editor | T. Davis |
| date | 2007 |
| kind | structural problem |
| 2D/3D problem? | yes |
| Additional fields | size and type |
| b | full 2053-by-1 |
Notes:
Chebyshev integration matrix from Benson Muite, Oxford. Details of the matrices can be found in a preprint at http://www.maths.ox.ac.uk/~muite entitled "A comparison of Chebyshev methods for solving fourth-order semilinear initial boundary value problems," June 2007. These matrices are very ill-conditioned, partly because of the dense rows which are hard to scale when coupled with the rest of the matrix.
| Ordering statistics: | result |
| nnz(chol(P*(A+A'+s*I)*P')) with AMD | 14,347 |
| Cholesky flop count | 1.0e+05 |
| nnz(L+U), no partial pivoting, with AMD | 26,641 |
| nnz(V) for QR, upper bound nnz(L) for LU, with COLAMD | 8,208 |
| nnz(R) for QR, upper bound nnz(U) for LU, with COLAMD | 2,108,431 |
| SVD-based statistics: | |
| norm(A) | 20277.2 |
| min(svd(A)) | 3.65964e-12 |
| cond(A) | 5.54075e+15 |
| rank(A) | 2,051 |
| sprank(A)-rank(A) | 2 |
| null space dimension | 2 |
| full numerical rank? | no |
| singular value gap | 2.65179e+06 |
| singular values (MAT file): | click here |
| SVD method used: | s = svd (full (A)) ; |
| 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.