Matrix: Oberwolfach/LF10000

Description: Oberwolfach: linear 1D beam

Oberwolfach/LF10000 graph
(undirected graph drawing)


Oberwolfach/LF10000

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  • Matrix group: Oberwolfach
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  • download as a MATLAB mat-file, file size: 354 KB. Use UFget(1437) or UFget('Oberwolfach/LF10000') in MATLAB.
  • download in Matrix Market format, file size: 680 KB.
  • download in Rutherford/Boeing format, file size: 364 KB.

    Matrix properties
    number of rows19,998
    number of columns19,998
    nonzeros99,982
    structural full rank?yes
    structural rank19,998
    # of blocks from dmperm1
    # strongly connected comp.1
    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 19998-by-19998
    Esparse 19998-by-19998
    Bsparse 19998-by-1
    Csparse 1-by-19998

    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 AMD69,988
    Cholesky flop count2.5e+05
    nnz(L+U), no partial pivoting, with AMD119,978
    nnz(V) for QR, upper bound nnz(L) for LU, with COLAMD69,988
    nnz(R) for QR, upper bound nnz(U) for LU, with COLAMD109,976

    SVD-based statistics:
    norm(A)4.71123e+14
    min(svd(A))0.000228815
    cond(A)2.05897e+18
    rank(A)16,182
    sprank(A)-rank(A)3,816
    null space dimension3,816
    full numerical rank?no
    singular value gap1.00046

    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/LF10000 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.