Matrix: LPnetlib/lpi_klein1
Description: Netlib LP problem klein1: minimize c'*x, where Ax=b, lo<=x<=hi
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| Matrix properties | |
| number of rows | 54 |
| number of columns | 108 |
| nonzeros | 750 |
| structural full rank? | yes |
| structural rank | 54 |
| # of blocks from dmperm | 1 |
| # strongly connected comp. | 1 |
| explicit zero entries | 0 |
| nonzero pattern symmetry | 0% |
| numeric value symmetry | 0% |
| type | integer |
| structure | rectangular |
| Cholesky candidate? | no |
| positive definite? | no |
| author | E. Klotz |
| editor | J. Chinneck |
| date | |
| kind | linear programming problem |
| 2D/3D problem? | no |
| Additional fields | size and type |
| b | full 54-by-1 |
| c | full 108-by-1 |
| lo | full 108-by-1 |
| hi | full 108-by-1 |
| z0 | full 1-by-1 |
Notes:
An infeasible Netlib LP problem, in lp/infeas. For more information
send email to netlib@ornl.gov with the message:
send index from lp
send readme from lp/infeas
The lp/infeas directory contains infeasible linear programming test problems
collected by John W. Chinneck, Carleton Univ, Ontario Canada. The following
are relevant excerpts from lp/infeas/readme (by John W. Chinneck):
PROBLEM DESCRIPTION
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KLEIN1, KLEIN2, KLEIN3: related small and medium size problems.
Contributor: Ed Klotz, CPLEX Optimization Inc.
Name Rows Cols Nonzeros Bounds Notes
klein1 55 54 696
| Ordering statistics: | result |
| nnz(V) for QR, upper bound nnz(L) for LU, with COLAMD | 2,378 |
| nnz(R) for QR, upper bound nnz(U) for LU, with COLAMD | 1,250 |
| SVD-based statistics: | |
| norm(A) | 5478.89 |
| min(svd(A)) | 1 |
| cond(A) | 5478.89 |
| rank(A) | 54 |
| 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 (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.