Matrix: Qaplib/lp_nug20

Description: Netlib LP problem nug20: minimize c'*x, where Ax=b, lo<=x<=hi

Qaplib/lp_nug20 graph
(bipartite graph drawing)


Qaplib/lp_nug20

  • Home page of the UF Sparse Matrix Collection
  • Matrix group: Qaplib
  • Click here for a description of the Qaplib group.
  • Click here for a list of all matrices
  • Click here for a list of all matrix groups
  • download as a MATLAB mat-file, file size: 533 KB. Use UFget(799) or UFget('Qaplib/lp_nug20') in MATLAB.
  • download in Matrix Market format, file size: 1 MB.
  • download in Rutherford/Boeing format, file size: 747 KB.

    Matrix properties
    number of rows15,240
    number of columns72,600
    nonzeros304,800
    structural full rank?yes
    structural rank15,240
    # of blocks from dmperm1
    # strongly connected comp.1
    explicit zero entries0
    nonzero pattern symmetry 0%
    numeric value symmetry 0%
    typeinteger
    structurerectangular
    Cholesky candidate?no
    positive definite?no

    authorM. Resende
    editorM. Resende
    date1995
    kindlinear programming problem
    2D/3D problem?no

    Additional fieldssize and type
    bfull 15240-by-1
    cfull 72600-by-1
    lofull 72600-by-1
    hifull 72600-by-1
    z0full 1-by-1

    Ordering statistics:result
    nnz(V) for QR, upper bound nnz(L) for LU, with COLAMD666,619,904
    nnz(R) for QR, upper bound nnz(U) for LU, with COLAMD63,208,943

    SVD-based statistics:
    norm(A)11.4346
    min(svd(A))2.13042e-16
    cond(A)5.36728e+16
    rank(A)14,098
    sprank(A)-rank(A)1,142
    null space dimension1,142
    full numerical rank?no
    singular value gap1.78016e+14

    singular values (MAT file):click here
    SVD method used:s = svd (full (R)) ; where [~,R,E] = spqr (A') with droptol of zero
    status:ok

    Qaplib/lp_nug20 svd

    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.