Description: Netlib LP problem gfrd_pnc: minimize c'*x, where Ax=b, lo<=x<=hi
|(bipartite graph drawing)|
|number of rows||616|
|number of columns||1,160|
|structural full rank?||yes|
|# of blocks from dmperm||27|
|# strongly connected comp.||1|
|explicit zero entries||0|
|nonzero pattern symmetry||0%|
|numeric value symmetry||0%|
|author||R. Helgason, J. Kennington, P. Wong|
|kind||linear programming problem|
|Additional fields||size and type|
A Netlib LP problem, in lp/data. For more information send email to email@example.com with the message: send index from lp send readme from lp/data The following are relevant excerpts from lp/data/readme (by David M. Gay): The column and nonzero counts in the PROBLEM SUMMARY TABLE below exclude slack and surplus columns and the right-hand side vector, but include the cost row. We have omitted other free rows and all but the first right-hand side vector, as noted below. The byte count is for the MPS compressed file; it includes a newline character at the end of each line. These files start with a blank initial line intended to prevent mail programs from discarding any of the data. The BR column indicates whether a problem has bounds or ranges: B stands for "has bounds", R for "has ranges". The BOUND-TYPE TABLE below shows the bound types present in those problems that have bounds. The optimal value is from MINOS version 5.3 (of Sept. 1988) running on a VAX with default options. PROBLEM SUMMARY TABLE Name Rows Cols Nonzeros Bytes BR Optimal Value GFRD-PNC 617 1092 3467 24476 B 6.9022359995E+06 BOUND-TYPE TABLE GFRD-PNC UP LO Supplied by Bob Fourer. Source: GFRD-PNC, SIERRA: R. Helgason, J. Kennington, and P. Wong, "An Application of Network Programming for National Forest Planning", Technical Report OR 81006, Dept. of Operations Research, Southern Methodist University.
|nnz(V) for QR, upper bound nnz(L) for LU, with COLAMD||18,975|
|nnz(R) for QR, upper bound nnz(U) for LU, with COLAMD||2,525|
|null space dimension||0|
|full numerical rank?||yes|
|singular values (MAT file):||click here|
|SVD method used:||s = svd (full (A)) ;|
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.