Matrix: Meszaros/scsd8-2c

Description: LP sequence: scsd8-2c-4, 16, 64

Meszaros/scsd8-2c graph
(bipartite graph drawing)


Meszaros/scsd8-2c

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  • Matrix group: Meszaros
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  • download as a MATLAB mat-file, file size: 311 KB. Use UFget(1836) or UFget('Meszaros/scsd8-2c') in MATLAB.
  • download in Matrix Market format, file size: 742 KB.
  • download in Rutherford/Boeing format, file size: 380 KB.

    Matrix properties
    number of rows5,130
    number of columns35,910
    nonzeros112,770
    structural full rank?yes
    structural rank5,130
    # of blocks from dmperm1
    # strongly connected comp.1
    explicit zero entries0
    nonzero pattern symmetry 0%
    numeric value symmetry 0%
    typereal
    structurerectangular
    Cholesky candidate?no
    positive definite?no

    author
    editorC. Meszaros
    date2004
    kindlinear programming problem sequence
    2D/3D problem?no

    Additional fieldssize and type
    Acell 3-by-1
    bcell 3-by-1
    ccell 3-by-1
    locell 3-by-1
    hicell 3-by-1
    z0cell 3-by-1

    Notes:

    http://www.sztaki.hu/~meszaros/public_ftp/lptestset      
    Converted to standard form via Resende and Veiga's mpsrd:
    minimize c'*x, subject to A*x=b and lo <= x <= hi        
    Determinisitic equivalent of stochastic LP               
    

    Ordering statistics:result
    nnz(V) for QR, upper bound nnz(L) for LU, with COLAMD65,553,265
    nnz(R) for QR, upper bound nnz(U) for LU, with COLAMD2,662,511

    SVD-based statistics:
    norm(A)45.7839
    min(svd(A))0.0808967
    cond(A)565.954
    rank(A)5,130
    sprank(A)-rank(A)0
    null space dimension0
    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

    Meszaros/scsd8-2c 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.