Matrix: Oberwolfach/LFAT5000

Description: Oberwolfach: linear 1D beam

Oberwolfach/LFAT5000 graph
(undirected graph drawing)


Oberwolfach/LFAT5000 dmperm of Oberwolfach/LFAT5000

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  • Matrix group: Oberwolfach
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  • download as a MATLAB mat-file, file size: 316 KB. Use UFget(1439) or UFget('Oberwolfach/LFAT5000') in MATLAB.
  • download in Matrix Market format, file size: 607 KB.
  • download in Rutherford/Boeing format, file size: 352 KB.

    Matrix properties
    number of rows19,994
    number of columns19,994
    nonzeros79,966
    structural full rank?yes
    structural rank19,994
    # of blocks from dmperm3
    # strongly connected comp.3
    explicit zero entries0
    nonzero pattern symmetrysymmetric
    numeric value symmetrysymmetric
    typereal
    structuresymmetric
    Cholesky candidate?yes
    positive definite?yes

    authorJ. Lienemann, A. Greiner, J. Korvink
    editorE. Rudnyi
    date2004
    kindmodel reduction problem
    2D/3D problem?yes

    Additional fieldssize and type
    Msparse 19994-by-19994
    Esparse 19994-by-19994
    Bsparse 19994-by-1
    Csparse 1-by-19994

    Notes:

    Primary matrix in this model reduction problem is the Oberwolfach K matrix
    

    Ordering statistics:result
    nnz(chol(P*(A+A'+s*I)*P')) with AMD54,978
    Cholesky flop count1.6e+05
    nnz(L+U), no partial pivoting, with AMD89,962
    nnz(V) for QR, upper bound nnz(L) for LU, with COLAMD54,978
    nnz(R) for QR, upper bound nnz(U) for LU, with COLAMD84,958

    SVD-based statistics:
    norm(A)5.88727e+13
    min(svd(A))0.000114704
    cond(A)5.13256e+17
    rank(A)18,047
    sprank(A)-rank(A)1,947
    null space dimension1,947
    full numerical rank?no
    singular value gap1.0006

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

    Oberwolfach/LFAT5000 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.