Matrix: JGD_Homology/m133-b3

Description: Simplicial complexes from Homology from Volkmar Welker.

JGD_Homology/m133-b3 graph JGD_Homology/m133-b3 graph
(bipartite graph drawing) (graph drawing of A+A')


JGD_Homology/m133-b3

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  • Matrix group: JGD_Homology
  • Click here for a description of the JGD_Homology group.
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  • download as a MATLAB mat-file, file size: 2 MB. Use UFget(2056) or UFget('JGD_Homology/m133-b3') in MATLAB.
  • download in Matrix Market format, file size: 3 MB.
  • download in Rutherford/Boeing format, file size: 2 MB.

    Matrix properties
    number of rows200,200
    number of columns200,200
    nonzeros800,800
    structural full rank?yes
    structural rank200,200
    # of blocks from dmperm1
    # strongly connected comp.1
    explicit zero entries0
    nonzero pattern symmetry 0%
    numeric value symmetry 0%
    typeinteger
    structureunsymmetric
    Cholesky candidate?no
    positive definite?no

    authorV. Welker
    editorJ.-G. Dumas
    date2008
    kindcombinatorial problem
    2D/3D problem?no

    Notes:

    Simplicial complexes from Homology from Volkmar Welker.       
    From Jean-Guillaume Dumas' Sparse Integer Matrix Collection,  
    http://ljk.imag.fr/membres/Jean-Guillaume.Dumas/simc.html     
                                                                  
    http://www.mathematik.uni-marburg.de/~welker/                 
                                                                  
    Filename in JGD collection: Homology/m133.b3.200200x200200.sms
    

    Ordering statistics:result
    nnz(chol(P*(A+A'+s*I)*P')) with AMD4,404,029,471
    Cholesky flop count2.7e+14
    nnz(L+U), no partial pivoting, with AMD8,807,858,742
    nnz(V) for QR, upper bound nnz(L) for LU, with COLAMD7,534,245,143
    nnz(R) for QR, upper bound nnz(U) for LU, with COLAMD8,286,730,443

    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.