Matrix: VanVelzen/std1_Jac3_db

Description: Chemical process simulation, Nils van Velzen (diagonal blocks only)

VanVelzen/std1_Jac3_db graph VanVelzen/std1_Jac3_db graph
(bipartite graph drawing) (graph drawing of A+A')


VanVelzen/std1_Jac3_db dmperm of VanVelzen/std1_Jac3_db

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  • download as a MATLAB mat-file, file size: 4 MB. Use UFget(1335) or UFget('VanVelzen/std1_Jac3_db') in MATLAB.
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    Matrix properties
    number of rows21,982
    number of columns21,982
    nonzeros531,826
    structural full rank?yes
    structural rank21,982
    # of blocks from dmperm11,091
    # strongly connected comp.11,091
    explicit zero entries0
    nonzero pattern symmetry 36%
    numeric value symmetry 0%
    typereal
    structureunsymmetric
    Cholesky candidate?no
    positive definite?no

    authorN. van Velzen
    editorT. Davis
    date2006
    kindchemical process simulation problem
    2D/3D problem?no

    Additional fieldssize and type
    bfull 21982-by-1

    Ordering statistics:result
    nnz(chol(P*(A+A'+s*I)*P')) with AMD2,408,434
    Cholesky flop count1.4e+09
    nnz(L+U), no partial pivoting, with AMD4,794,886
    nnz(V) for QR, upper bound nnz(L) for LU, with COLAMD1,446,824
    nnz(R) for QR, upper bound nnz(U) for LU, with COLAMD2,992,985

    SVD-based statistics:
    norm(A)4.82686e+11
    min(svd(A))1.16449e-11
    cond(A)4.14506e+22
    rank(A)8,940
    sprank(A)-rank(A)13,042
    null space dimension13,042
    full numerical rank?no
    singular value gap1.0032

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

    VanVelzen/std1_Jac3_db 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.